CN113793019A - 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 waste liquid discharge in a laboratory, which relate to the technical field of laboratory management systems, and 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 incidence relation of 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 acquiring actual generated data of the current laboratory waste liquid, comparing the actual generated data with 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 data processing method and device, the incidence relation between the feeding and waste liquid generation data in the laboratory is calculated and fitted based on the big data collected by the laboratory, the accuracy of the waste liquid actual generation data can be judged based on the actual feeding data of the laboratory, 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 experimental process generates acidic or alkaline waste liquids, which, if discharged directly into the natural environment, cause environmental pollution, and therefore must be specially treated before being discharged.
However, because the waste liquid is expensive to treat, some laboratories often choose to steal the environmentally harmful waste liquid into the natural environment for cost saving. Different from the generation of waste liquid of a factory production line, the generation amount of waste liquid in a laboratory is small and irregular, so that the emission of the waste liquid in the laboratory is difficult to effectively supervise by a supervision department.
Disclosure of Invention
In order to effectively monitor the discharge of the waste liquid in the laboratory and avoid the phenomenon of stealing, discharging and leaking in the laboratory, the invention aims to provide an intelligent monitoring method for the discharge of the waste liquid in the laboratory, based on the method, the discharge of the waste liquid in the laboratory can be effectively monitored, and when the discharge of the waste liquid exceeds an expected range or is abnormal, alarm information can be automatically output; in order to implement the method, the second application object of the present invention further provides an intelligent monitoring system for laboratory waste liquid discharge, which can automatically perform data collection and analysis and output alarm information, and does not affect the normal operation of the whole laboratory while improving the monitoring efficiency, and the specific scheme is as follows:
an intelligent monitoring method for laboratory waste liquid discharge comprises the following steps:
collecting laboratory feeding data and waste liquid generation data, and fitting and generating a first equation for reflecting the relationship 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 acquiring 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 incidence 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 roughly calculated after the feeding data in the laboratory is known, and the alarm information is output when the actual waste liquid generation value is obtained, namely the actual generation data and the first theoretical generation data have large difference, so that the automatic monitoring of the waste liquid discharge in the laboratory can be realized, and the monitoring efficiency is improved.
Further, the method further comprises:
collecting and storing the laboratory feeding time, feeding data and waste liquid generation data in an associated manner, and generating a second equation for reflecting the time-feeding-waste liquid generation relation;
acquiring the current time and calculating second theoretical generation data of the current waste liquid based on the second equation;
and acquiring actual generated data of the current laboratory waste liquid, comparing the actual generated data with the second theoretically generated data, and outputting alarm information if the difference value of the actual generated data and the second theoretically generated data exceeds a set range.
Through the technical scheme, the waste liquid generation data in the laboratory are correlated with the time, so that the correlation 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 correlation relation, and when the theoretical discharge amount, namely the difference between the second theoretical generation data and the actual generation data is too large, an alarm is output, so that the monitoring accuracy can be improved.
Further, the method further comprises: collecting the experiment names, feeding data, waste liquid generation data and experiment duration of each experiment in a laboratory, and generating and storing each experiment data table in a correlation manner;
collecting and storing an experiment name, 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 the waste liquid based on the experiment data table;
and acquiring the actual generation amount of the waste liquid in the laboratory in a set time period according to the expected end 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 above-mentioned technical scheme, when experiment at every turn began, the experiment name and throw material data all can be gathered to the system, from this can obtain the waste liquid of the expected production in the later stage settlement time quantum, through contrast waste liquid expected yield and the waste liquid actual yield, alright in order to obtain whether there is the phenomenon of stealing and draining the hourglass in the waste liquid, can effectively promote monitoring efficiency.
Further, the alarm information includes alarm content information, alarm time information, and alarm address information;
the method further comprises the following steps:
monitoring and responding to the output state of the alarm information, acquiring a monitoring video in a set time period at a waste liquid discharge port of a laboratory, carrying out image recognition on the monitoring video based on a set image standard, and storing the monitoring video, an image recognition result and the alarm information in a correlation manner.
Through above-mentioned technical scheme, when the emission of abandonment liquid appears unusually, the surveillance video when can the automatic recording abandonment liquid discharges, the reason of being convenient for the later stage to the abandonment liquid emission emergence anomaly from this traces back the analysis.
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;
wherein, calculating the experiment name corresponding to the alarm information comprises:
setting a time range by taking the time corresponding to the alarm time information as a reference;
and calculating the expected ending time of each experiment based on the stored experiment name, the experiment starting time and the experiment duration of each experiment, and if the expected ending time of each experiment falls into the set time range, outputting the corresponding experiment name according to a set rule.
Through the technical scheme, the expected ending time of each experiment can be calculated according to the experiment data sheet of each experiment and the starting time of each experiment, so that the experiment name corresponding to the abnormal waste liquid discharge phenomenon can be reversely deduced, and the responsible person can be conveniently traced.
Further, the first equation for reflecting the relationship between the feeding data and the waste liquid generation data is generated by fitting based on a set algorithm, and the first equation comprises:
extracting an influence factor in the first formula, and setting a data modification interface and an interface authority corresponding to the influence factor;
and receiving a modification instruction of the authority adaptation personnel to adjust the influence factor in the first program.
Through the technical scheme, the supervision and management personnel can correct the first formula according to the actual situation, and the accuracy of alarming is improved.
In order to implement the method, the application also provides an intelligent monitoring system for the discharge of the waste liquid in the laboratory, which comprises:
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 to generate a first equation for reflecting the generation relation of the feeding and the waste liquid;
the data processing unit is in data connection with the data acquisition and storage unit, receives feeding data of a laboratory, 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 generated data of the current laboratory waste liquid, compares the actual generated data with the theoretical generated data, and outputs alarm information based on a comparison result;
and the alarm unit is in data connection with the data comparison unit and an external information display terminal or a storage terminal, and receives 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 historical big data of a laboratory, then the theoretical generation data of the waste liquid is calculated by utilizing the corresponding relation, once the actual generation data of the waste liquid is not consistent with the data, a corresponding alarm is output, and the monitoring efficiency and the deterrence of waste liquid discharge are improved.
Further, the data acquisition and storage unit comprises:
the data acquisition module comprises an experimental feeding weighing device, a flowmeter arranged at a 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 the feeding data, the waste liquid generation data, the video image, the feeding time data and the waste liquid generation time data in the laboratory.
Through above-mentioned technical scheme, can gather in real time and save the volume of the waste liquid that the laboratory discharged to data such as the video image when reserving the emission, the later stage of being convenient for is traceed back.
Furthermore, the data storage module stores various experiment data tables of the incidence relation among the experiment names, the feeding data, the waste liquid generation data and the experiment duration of various experiments in the 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 includes an experiment information entry unit comprising:
the experiment name recording module is configured for collecting and storing an experiment name at the beginning of an experiment;
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 an estimation 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 used for acquiring the actual generated quantity of the waste liquid in the laboratory in a set time period according to the expected end time, comparing the actual generated quantity with the expected generated quantity of the waste liquid, and outputting alarm information if the difference value between the actual generated quantity and the expected generated quantity exceeds a set range.
Through above-mentioned technical scheme, throw material data based on each item experiment data table and experiment, alright in order to know the expected yield of waste liquid and the expected end time of experiment, then according to the waste liquid generated data of gathering in real time, alright in order to reverse the experiment name and the user name that corresponds, be convenient for trace back to the person of being responsible for specifically.
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 (personal computer);
the storage terminal comprises a built-in database of the laboratory system.
Through above-mentioned technical scheme, the information of reporting an emergency and asking for help or increased vigilance can transmit to the fine display terminal of outside through wired or wireless mode, can remind relevant personnel in time from this to check data, promotes the promptness of supervision, simultaneously, utilizes storage terminal to store above-mentioned information of reporting an emergency and asking for help or increased vigilance, and the later stage of being convenient for is traceed back.
Compared with the prior art, the invention has the following beneficial effects:
(1) according to the scheme, based on big data collected by a laboratory, the incidence relation between feeding data and waste liquid generation data in the laboratory 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 alarm information is output when the actually generated data and the theoretical generation data have large difference, so that automatic monitoring of waste liquid discharge in the laboratory can be realized, and the monitoring efficiency is improved;
(2) based on each experimental data table (storing the experimental name, the feeding data, the waste liquid generation data and the experimental duration incidence relation of each experiment in the laboratory) and the experimental feeding data which are stored in advance, the expected generation amount of the waste liquid and the expected ending time of the experiment can be known, then the experimental name and the experimental starting time can be reversely deduced according to the waste liquid generation data which are collected in real time, and the specific person who is responsible for stealing and discharging the waste liquid can be traced conveniently.
Drawings
FIG. 1 is a schematic overall flow chart of an intelligent monitoring method for the discharge of waste liquid from a laboratory;
fig. 2 is a schematic structural framework diagram of the intelligent monitoring system for the discharge of the waste liquid in the laboratory.
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-estimation module; 400. a data comparison unit; 500. an alarm unit; 510. a communication terminal; 520. an external information display terminal; 600. an experiment information input unit; 610. an experiment name inputting module; 620. an experiment user input module; 710. modifying the interface; 720. and an authority checking module.
Detailed Description
The present invention will be described in further detail with reference to examples and drawings, but the present invention is not limited to these examples.
An intelligent monitoring method for waste liquid discharge in a laboratory is shown in fig. 1 and 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 incidence relation of 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 generated data of the waste liquid in the current laboratory and comparing the data with the first theoretical generated data:
if the difference value between the actually generated data and the first theoretically generated data exceeds a set range, outputting alarm information, and storing the actually generated data, the first theoretically generated data and the alarm information in an associated manner;
and if the difference value between the actually generated data and the first theoretically generated data is within a set range, storing the actually generated data and the first theoretically generated data.
In the step S100, the feeding data and the waste liquid generation data refer to the amount and kind of the reaction raw material fed into the laboratory, and similarly, the waste liquid generation data refer to the amount and kind of the waste liquid discharged from the laboratory, and the amount may be represented by mass data, volume data, and ph data. The collection of laboratory feeding data and waste liquid generation data refers to the acquisition of historically stored data from a database or other storage media with data storage functions for later data analysis. The first equation reflects the relationship between the input and the generation of waste liquid, such as the input of raw material of A amount based on historical data and the corresponding output of waste liquid of B amount.
In the step S200, the collecting of the feeding data in the laboratory refers to collecting the current or stored feeding data, and obtaining the first theoretical generation data of the waste liquid by using the first equation in combination with the feeding data.
In practice, since the feeding time of the laboratory is not fixed, and different amounts or kinds of reaction raw materials, such as acid solution, alkali solution, etc. with different volumes are fed at different time intervals, in order to improve the accuracy of theoretical prediction, the method further comprises:
s101, collecting and associatively storing the feeding time, the feeding data and the waste liquid generation data of a laboratory, and generating a second equation for reflecting the time-feeding-waste liquid generation relation;
s201, collecting the current time and calculating second theoretical generation data of the current waste liquid based on the second equation;
s301, collecting actual generated data of the current laboratory waste liquid and comparing the data with the second theoretical data: if the difference value between the actually generated data and the second theoretically generated data exceeds a set range, outputting alarm information, and storing the actually generated data, the second theoretically generated data and the alarm information in a correlated manner;
and if the difference value between the actually generated data and the second theoretically generated data is within a set range, storing the actually generated data and the second theoretically generated data.
Based on the technical scheme, the waste liquid generation data in the laboratory are correlated with the 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 difference between the second theoretical generation data and the actual generation data is too large, an alarm is output, and the monitoring accuracy is effectively improved.
In a specific embodiment, the two methods may be combined, that is, the difference between the actually generated data and the two theoretically generated data is obtained by considering the time factor and not considering the influence of the time factor, and if the difference between the two difference values is too large, the alarm information is output.
In this embodiment, the method further includes: the method comprises the steps of collecting the experiment names, feeding data, waste liquid generation data and experiment duration of experiments in a laboratory, and generating and storing experiment data tables in a correlated mode. The above experimental data table can be obtained by theoretical calculation, and is practically corrected by experimental actual data, for example, in acid-base neutralization experiments or acidic and alkaline waste liquid neutralization treatment, the two solutions are mixed in equal volume during feeding, if the sum of the pH values of the two solutions is 14, the theoretical resulting mixed waste liquid should have a pH value of 7, and if the sum of the pH values of the two solutions is less than 13, the pH value of the mixed liquid is a value obtained by adding 0.3 to the original small pH value. Meanwhile, for different acid-base reactions, the time duration required by the reactions is correspondingly recorded.
And acquiring the experiment name, the feeding data and the experiment starting time at the beginning of the experiment based on the experiment data table, and calculating and generating the expected ending time of the experiment and the expected generation amount of the waste liquid based on the experiment data table. And acquiring the actual generation amount of the waste liquid in the laboratory in a set time period according to the expected end 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.
In detail, the alarm information includes alarm content information, alarm time information, and alarm address information, where the content information specifically includes the type of alarm, such as the acidity of the waste liquid exceeding a set value.
In order to facilitate tracing the abnormal reason of the waste liquid discharge amount in the later period, the method further comprises the following steps: monitoring and responding to the output state of the alarm information, acquiring a monitoring video at a waste liquid discharge port of a laboratory, and storing the monitoring video in association with the alarm information.
Based on the method, the system can output an alarm when the waste liquid in the laboratory is abnormally discharged, but the reason and the responsibility in the later period are difficult to trace. To this end, further, the method further comprises:
and calculating the experiment name corresponding to the alarm information according to the experiment data table and the experiment starting time of each experiment based on the collected and stored alarm time information. Wherein, calculating the experiment name corresponding to the alarm information comprises:
setting a time range by taking the time corresponding to the alarm time information as a reference;
calculating expected ending time of each experiment based on the stored experiment name, experiment starting time and experiment duration of each experiment, if the expected ending time of each experiment falls into the set time range, outputting the corresponding experiment name according to a set rule, for example, calculating a difference value between the expected ending time of each experiment and a midpoint of the set time range, sorting the experiment names of each expected ending time falling into the set time range based on the difference value, and outputting. Based on the technical scheme, the expected end time of each experiment can be calculated according to the experiment data sheet of each experiment and the start 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 different experiments with consistent pollution characteristics are developed in the laboratory in the same time period, in order to further judge and trace the offending and disclaiming responsible person in practical application, the set rule further comprises a monitoring video based on the waste liquid discharge port of the laboratory, and the monitoring video content is subjected to image recognition. By using the image recognition technology, the action and duration of dumping the waste liquid, the color and volume of the waste liquid and the like of the experimenter are measured and calculated, and the measured and calculated actions are compared with the standard image to generate image abnormal information which is stored in the system data storage module 120 after being associated with the experiment name.
Because the identification is only carried out on the monitoring video in the time period corresponding to the abnormal discharge condition, the feasibility is ensured on the identification difficulty, the construction cost and the operation cost of the system.
Optimally, the basic parameters in the first equation may change with the change of time and environment, for example, the change of the environmental temperature may affect the correlation between the feeding data and the waste liquid generation data. In order to accommodate the above variation, in step S100, the fitting generation of the first equation reflecting the relationship between the input material and the waste liquid based on the set algorithm includes:
s101, extracting the influence factors in the first formula, and setting data modification interfaces 710 and interface authorities corresponding to the influence factors;
s102, receiving a modification instruction of the authority adaptation personnel to adjust the influence factor in the first equation.
Similarly, the second equation may be adjusted to obtain a more accurate theoretical prediction result.
In order to implement the method, the present application further provides an intelligent monitoring system for laboratory waste liquid discharge, as shown in fig. 2, which mainly includes: 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 includes an experimental feeding weighing device, an experimental feeding volume measuring device, an experimental feeding type inputting 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 feeding weighing device can adopt an electronic scale connected with computer data, and the experimental feeding volume measuring device can adopt a beaker with an automatic volume measurement function and the like. The experimental feeding type input device can adopt a tablet personal computer and a computer with a human-computer interaction interface, and can also adopt a detector with an experimental material 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 waste liquid collecting tank in a laboratory and is used for detecting and measuring the liquid flow and the volume of 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 in data connection with each device included in the data acquisition module 110, and receives and stores data such as laboratory feeding data, waste liquid generation data, video images, feeding time data, waste liquid generation time and the like. In practice, the data storage module 120 may directly use a storage system of a computer to implement data storage, or may use a cloud database, and the cloud database is in data connection with the data acquisition module 110 through an internet communication component. Based on above-mentioned technical scheme, can throw material data and abandonment liquid and generate data and gather in real time and save to data such as the video image when reserving the emission, the later stage of being convenient for is traceed back.
The data fitting unit 200 includes a data fitting algorithm module, which is in data connection with the data acquisition and storage unit 100, receives laboratory feeding data and waste liquid generation data, and fits to generate a first equation for reflecting the generation relationship between the feeding data and the waste liquid. The data fitting algorithm can be obtained by directly adopting a data analysis plug-in of MATLAB, and the system only needs to build a data input and 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 the 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 and process the historical data in the data storage module 120 as needed, and then check the accuracy of the past theoretical generated data. In the system construction, the data processing unit 300 can be directly implemented by a computer in a laboratory, and a CPU in the computer is used for rapidly processing data.
In a specific embodiment, the data processing unit 300 may combine the laboratory feeding time, the feeding data, and the waste liquid generation data, and generate a second equation by fitting, and generate second theoretical generation data for evaluating whether the waste liquid generation data is accurate or not, in the same manner as described above.
The data comparison unit 400 is in data connection with the data acquisition and storage 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 comparison unit 400 is a data comparison program module directly loaded in a computer, and shares CPU computing resources 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, and receives and outputs 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 terminal can use the built-in server database of the laboratory system or be functionally multiplexed with the data storage module 120.
Optimally, the data storage module 120 stores therein various experimental data tables of the experiment names, the feeding data, the waste liquid generation data and the experiment duration association relationship of the experiments in the laboratory. The laboratory feeding data comprise laboratory feeding time data, and the waste liquid generation data comprise waste liquid generation time data.
The system is further configured with an experiment information entry unit 600, which includes an experiment name entry module 610 and an experiment user entry module 620, and in terms of hardware configuration, the experiment information entry unit 600 can be functionally multiplexed with the data acquisition and storage unit 100.
The experiment name entry module 610 is configured to collect and store experiment names at the beginning of an experiment, and naming specifications of the experiment names may be separately prepared and stored in the system server at an earlier stage.
The experiment user entry module 620 is configured to collect and store a user name of an experiment at the beginning of the experiment, where the user name includes information such as an ID, a name, and a grade of a user, and the user name may be stored in a laboratory server at an earlier stage, and the user inputs the information before the experiment and then performs a system comparison to complete an experiment registration.
Based on the above arrangement, the data processing unit 300 is further provided with an estimation module 310 for calculating the expected ending time of the experiment and the expected generated 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 configured to acquire an actual generated volume of the laboratory waste liquid within a set time period according to the expected end time, compare the actual generated volume with an expected generated volume of the waste liquid, and output alarm information if a difference between the actual generated volume and the expected generated volume exceeds a set range. Through above-mentioned technical scheme, throw material data based on each item experiment data table and experiment, alright in order to know the expected yield of waste liquid and the expected end time of experiment, then according to the waste liquid generated data of gathering in real time, alright in order to reverse the name of the experiment and the user name that corresponds, the person of being responsible for of the later stage to stealing waste liquid of arranging traces back of being convenient for.
Because the first equation obtained by fitting the data fitting unit 200 cannot completely and accurately reflect the association relationship between each item of data, for this reason, further optimized, the system is further configured with a modification interface 710 for adjusting the influence factor in the first equation, and an interface authority and authority verification module 720 is provided corresponding to the modification interface 710, and receives the modification instruction of the authority adapter 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 embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may occur to those skilled in the art without departing from the principle of the invention, and are considered to be within the scope of the invention.
Claims (10)
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 incidence relation of 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 acquiring 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.
2. The intelligent laboratory waste liquid discharge monitoring method according to claim 1, further comprising:
collecting and storing the laboratory feeding time, feeding data and waste liquid generation data in an associated manner, and generating a second equation for reflecting the time-feeding-waste liquid generation relation;
collecting the current time, and calculating second theoretical generation data of the current waste liquid based on the second equation;
and acquiring actual generated data of the current laboratory waste liquid, comparing the actual generated data with the second theoretically generated data, and outputting alarm information if the difference value of the actual generated data and the second theoretically generated data exceeds a set range.
3. The intelligent laboratory waste liquid discharge monitoring method according to claim 1, further comprising: collecting the experiment names, feeding data, waste liquid generation data and experiment duration of each experiment in a laboratory, and generating and storing each experiment data table in a correlation manner;
collecting and storing an experiment name, 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 the waste liquid based on the experiment data table;
and acquiring the actual generation amount of the waste liquid in the laboratory in a set time period according to the expected end 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.
4. The intelligent monitoring method for the discharge of laboratory waste liquid according to claim 3, wherein the alarm information includes alarm content information, alarm time information, alarm address information;
the method further comprises the following steps:
monitoring and responding to the output state of the alarm information, acquiring a monitoring video in a set time period at a waste liquid discharge port of a laboratory, carrying out image recognition on the monitoring video based on a set image standard, and storing the monitoring video, an image recognition result and the alarm information in a correlation manner.
5. The intelligent laboratory waste liquid discharge monitoring method according to claim 4, further comprising:
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;
wherein, calculating the experiment name corresponding to the alarm information comprises:
setting a time range by taking the time corresponding to the alarm time information as a reference;
and calculating the expected ending time of each experiment based on the stored experiment name, the experiment starting time and the experiment duration of each experiment, and if the expected ending time of each experiment falls into the set time range, outputting the corresponding experiment name according to a set rule.
6. The intelligent laboratory waste liquid discharge monitoring method according to claim 1, wherein the fitting generation of the first equation reflecting the relationship between the input data and the waste liquid generation data based on the set algorithm comprises:
extracting an influence factor in the first equation, and setting a data modification interface (710) and an interface authority corresponding to the influence factor;
and receiving a modification instruction of the authority adaptation personnel to adjust the influence factor in the first program.
7. The utility model provides a laboratory waste liquid discharges intelligent monitoring system which 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 fits to generate a first equation for reflecting the generation relation of the feeding and the waste liquid;
the data processing unit (300) is in data connection with the data acquisition and storage unit (100), receives laboratory feeding data, and calculates 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), receives actual generated data of the current laboratory waste liquid, compares the actual generated data with the theoretical generated data, and outputs alarm information based on a comparison result;
and 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, and receives and outputs the alarm information.
8. The intelligent laboratory waste liquid discharge monitoring system according to claim 7, wherein said data acquisition and storage unit (100) comprises:
the data acquisition module (110) comprises an experimental feeding weighing device, a flowmeter arranged at a 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 the feeding data, the waste liquid generation data, the video image, the feeding time data and the waste liquid generation time data in the laboratory.
9. The intelligent monitoring system for the discharge of the waste liquid in the laboratory according to the claim 8, wherein the data storage module (120) stores various experiment data tables of the incidence relation of the experiment names, the feeding data, the waste liquid generation data and the experiment duration of various experiments in the 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 for collecting and storing an experiment name at the start of an experiment;
an experiment user entry module (620) configured for collecting and storing a user name of an experiment at the start of the experiment;
the data processing unit (300) is also provided with an estimation module (310) for calculating the expected ending 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 data connection with the data acquisition and storage unit (100) and is used for acquiring the actual generated quantity of the laboratory waste liquid in a set time period according to the expected end time, comparing the actual generated quantity with the expected generated quantity of the waste liquid, and outputting alarm information if the difference value between the actual generated quantity and the expected generated quantity exceeds a set range.
10. The intelligent monitoring system for the discharge of the laboratory waste liquid according to claim 8, wherein the alarm unit (500) 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 (520) comprises a smart phone, a tablet personal computer and a PC (personal computer);
the storage terminal comprises a built-in database of the laboratory system.
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