CN114237177B - Waste liquid detection method, waste liquid detection device and related products - Google Patents
Waste liquid detection method, waste liquid detection device and related products Download PDFInfo
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- CN114237177B CN114237177B CN202111498102.7A CN202111498102A CN114237177B CN 114237177 B CN114237177 B CN 114237177B CN 202111498102 A CN202111498102 A CN 202111498102A CN 114237177 B CN114237177 B CN 114237177B
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
- G05B19/41865—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32252—Scheduling production, machining, job shop
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The application relates to a waste liquid detection method, a waste liquid detection device and related products, wherein the method comprises the following steps: detecting target waste liquid, namely waste liquid generated by the operation of a target production line with a first working parameter, to obtain a detection result; determining a target regulation parameter according to the detection result; and adjusting the first working parameter according to the target adjusting parameter to obtain a second working parameter, wherein the second working parameter is used for controlling the target production line to work with the second working parameter. By adopting the embodiment of the application, the utilization value of the industrial waste liquid can be improved.
Description
Technical Field
The application relates to the technical field of waste liquid treatment or environmental protection, in particular to a waste liquid detection method, a waste liquid detection device and related products.
Background
With the rapid development of domestic electronic manufacturing technology, the use amount of electronic chemicals such as stripping liquid is greatly increased, and various waste liquids are generated. For example, in the production of electronic components such as liquid crystal display panels and semiconductor integrated circuits, it is necessary to remove the photoresist coated on the protective region of the microcircuit as a mask with a stripping liquid, which is a mixture of an organic amine and a polar organic solvent and contains a small amount of light components typified by moisture, is generally used. When the photoresist is removed by using the stripping liquid, a large amount of stripping liquid waste liquid is generated, and most of the stripping liquid waste liquid is organic components with recycling value except for a small amount of polymer resin (or PR glue) and water. Generally, a large amount of solvents are required for cleaning the photoresist, and the solvents are expensive and are directly discharged to easily cause serious environmental pollution, and the operation cost of enterprises is increased, so that the problem of how to improve the utilization value of industrial waste liquid is needed to be solved.
Disclosure of Invention
The embodiment of the application provides a waste liquid detection method, a waste liquid detection device and related products, which can improve the utilization value of industrial waste liquid.
In a first aspect, embodiments of the present application provide a method for detecting waste liquid, the method including:
detecting target waste liquid, namely waste liquid generated by the operation of a target production line with a first working parameter, to obtain a detection result;
determining a target regulation parameter according to the detection result;
and adjusting the first working parameter according to the target adjusting parameter to obtain a second working parameter, wherein the second working parameter is used for controlling the target production line to work with the second working parameter.
In a second aspect, embodiments of the present application provide a waste liquid detection device, the device comprising: a detection unit, a determination unit and an adjustment unit, wherein,
the detection unit is used for detecting target waste liquid to obtain a detection result, wherein the target waste liquid is generated by the operation of a target production line with a first working parameter;
the determining unit is used for determining a target adjusting parameter according to the detection result;
the adjusting unit is used for adjusting the first working parameter according to the target adjusting parameter to obtain a second working parameter, and the second working parameter is used for controlling the target production line to work with the second working parameter.
In a third aspect, embodiments of the present application provide a waste liquid detection device, including a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, the programs including instructions for performing the steps in the first aspect of embodiments of the present application.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program causes a computer to perform some or all of the steps as described in the first aspect of the embodiments of the present application.
In a fifth aspect, embodiments of the present application provide a computer program product, wherein the computer program product comprises a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps described in the first aspect of the embodiments of the present application. The computer program product may be a software installation package.
By implementing the embodiment of the application, the following beneficial effects are achieved:
it can be seen that, according to the waste liquid detection method, the waste liquid detection device and the related products described in the embodiments of the present application, the target waste liquid is detected to obtain a detection result, the target waste liquid is the waste liquid generated by the operation of the target production line with the first working parameter, the target adjustment parameter is determined according to the detection result, the first working parameter is adjusted according to the target adjustment parameter to obtain the second working parameter, the second working parameter is used for controlling the target production line to operate with the second working parameter, the detection result can be obtained by detecting the waste liquid, and the working parameter of the production line is adjusted based on the detection result, so that the production line efficiency is optimized, and the utilization value of the waste liquid is further improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a method for detecting waste liquid according to an embodiment of the present application;
FIG. 2 is a schematic flow chart of another method for detecting waste liquid according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of a waste liquid detection device according to an embodiment of the present disclosure;
fig. 4 is a functional unit block diagram of a waste liquid detection device according to an embodiment of the present application.
Detailed Description
The terms first, second and the like in the description and in the claims of the present application and in the above-described figures, are used for distinguishing between different objects and not for describing a particular sequential order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to the list of steps or elements but may include, in one possible example, other steps or elements not listed or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the present application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
In order to make the present application solution better understood by those skilled in the art, the following description will clearly and completely describe the technical solution in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
Referring to fig. 1, fig. 1 is a schematic flow chart of a waste liquid detection method according to an embodiment of the present application, as shown in the drawing, applied to a waste liquid detection device, the waste liquid detection method includes:
101. and detecting target waste liquid, wherein the target waste liquid is waste liquid generated by the operation of the target production line with the first working parameters, and a detection result is obtained.
In this embodiment, the target waste liquid may be an industrial waste liquid, which may be understood as waste liquid generated in processing various products (e.g., electronic products (display screen)), for example, the industrial waste liquid may include waste stripping liquid, waste isopropanol, waste N-methylpyrrolidone, waste diluent, waste etching liquid, and the like, which is not limited herein. Different products can correspond to different production lines, different production lines can correspond to different working parameters, the working parameters are the working parameters corresponding to the products of the production target production line, and the working parameters can comprise at least one of the following: production environment parameters, or production line equipment operating parameters. The first operating parameter may include at least one of: temperature, humidity, light intensity, magnetic field interference intensity, atmospheric pressure, etc., are not limited herein.
In the specific implementation, the target waste liquid can be detected through the waste liquid detection device, so that a detection result can be obtained, a detection report can be generated based on the detection result, and the detection report can be displayed to a user. In this embodiment of the application, the waste liquid detection device can be used for detecting various industrial waste liquids specially, and the waste liquid detection device can include at least one of the following: a spectrum analyzer, a substance detection sensor, a component analyzer, and the like are not limited herein.
For example, in the recycling technology of waste chemicals for plasma display panels (Plasma Display Panel, PDP), the waste liquid may be waste acid such as waste etching liquid, stripping liquid, diluent, etc. and waste organic solvent.
For further example, the waste liquid may include a waste stripping solution, waste isopropanol, waste N-methylpyrrolidone, waste diluent, and waste etching solution, for recycling and regenerating waste chemicals for liquid crystal displays (Liquid Crystal Display, LCDs), light-Emitting diodes (LEDs), and Organic Light-Emitting diodes (OLEDs).
For further illustration, the waste liquid may be, for example, single-crystal wool making waste liquid, for recycling of hazardous waste liquid associated with the photovoltaic industry.
Optionally, in the step 101, the detection of the target waste liquid to obtain a detection result may include the following steps:
11. detecting the target waste liquid to obtain P data, wherein P is a positive integer;
12. determining abnormal data from the P data to obtain Q data, wherein Q is a positive integer smaller than or equal to P;
13. and determining the detection result according to the Q data.
In this embodiment of the present application, the target waste liquid may be detected to obtain P data, where P is a positive integer, each data may correspond to a data identifier, where the data identifier is used to represent a detection dimension or a detection type or a substance component of the data, and for example, the data identifier may be a moisture content.
Furthermore, abnormal data can be determined from the P data to obtain Q data, Q is a positive integer smaller than or equal to P, then a detection result is determined according to the Q data, and the abnormal data reflects some places of the production line, which need to be optimized, so that a corresponding detection result can be given based on some abnormal data.
Optionally, the step 13 of determining the detection result according to the Q data may include the following steps:
31. determining comparison parameters corresponding to each data in the Q data according to a mapping relation between preset data identifiers and comparison parameters to obtain Q groups of comparison parameters;
32. determining Q deviation degrees according to the Q data and the Q group comparison parameters;
33. and determining a target abnormal grade according to the Q deviation degrees, and taking the target abnormal grade as the detection result.
In this embodiment of the present application, different data identifiers may have different corresponding reference standards, that is, different comparison parameters, a mapping relationship between a preset data identifier and the comparison parameters may be stored in advance, and then, according to a mapping relationship between the preset data identifier and the comparison parameters, a comparison parameter corresponding to each of Q data is determined, so as to obtain Q sets of comparison parameters, and Q deviation degrees may be determined according to the Q data and the Q sets of comparison parameters, that is, each of the Q data is compared with the corresponding comparison parameters, so as to determine a degree of deviation of the data from a normal range, and then, a target abnormal grade is determined according to the Q deviation degrees, and the target abnormal grade is used as a detection result, so that an abnormal condition during production of a waste liquid may be determined.
Optionally, the step 33 of determining the target abnormality level according to the Q deviation degrees may include the following steps:
331. determining a weight corresponding to each deviation degree in the Q deviation degrees according to a mapping relation between a preset data identifier and the weight to obtain Q weight values;
332. calculating the Q deviation degrees and the corresponding weight values in the Q weight values to obtain Q weighted deviation degrees;
333. determining target mean square deviations corresponding to the Q weighted deviations;
334. weighting operation is carried out according to the Q deviation degrees and the Q weights, so that reference deviation degrees are obtained;
335. according to a mapping relation between a preset mean square error and an optimization coefficient, determining a target optimization coefficient corresponding to the target mean square error;
336. optimizing the reference deviation according to the target optimization coefficient to obtain a first deviation;
337. and determining the target abnormal grade corresponding to the first deviation according to a mapping relation between the preset deviation and the abnormal grade.
In a specific implementation, a mapping relation between a preset data identifier and a weight value and a mapping relation between a preset mean square error and an optimization coefficient can be stored in advance.
Specifically, the weight corresponding to each deviation degree in the Q deviation degrees can be determined according to the mapping relation between the preset data identifier and the weight, so as to obtain Q weights, that is, the influence of different data identifiers on the detection result is different, and further, the corresponding weights are different. The method can calculate the corresponding weight values in the Q deviation degrees and the Q weight values to obtain Q weighted deviation degrees, then determine the target mean square error corresponding to the Q weighted deviation degrees, and calculate the influence of a single dimension on the whole detection result (abnormal grade) due to the deviation degrees, wherein the influence of the deviation degrees of the single dimension on the whole detection result can be truly reflected by calculating the product between the Q weighted deviation degrees and the weight values. In addition, the weighting operation can be performed according to the Q deviation degrees and the Q weights to obtain a reference deviation degree, that is, the influence of the deviation degrees of all dimensions on the abnormal level is primarily confirmed, and a target optimization coefficient corresponding to the target mean square error is determined according to a mapping relationship between a preset mean square error and the optimization coefficient, wherein the value range of the optimization coefficient can be-0.1, and then the reference deviation degree is optimized according to the target optimization coefficient to obtain a first deviation degree, which is specifically as follows:
first degree of deviation= (1+ target optimization coefficient) ×reference degree of deviation
Finally, according to the mapping relation between the preset deviation degree and the abnormal grade, the target abnormal grade corresponding to the first deviation degree can be determined, and as the contribution of each dimension to the abnormal grade is comprehensively considered, the arrangement deviation between each dimension and the corresponding weight is also considered, and finally, the abnormal condition of the detection result can be accurately evaluated.
102. And determining a target adjusting parameter according to the detection result.
In this embodiment of the present application, the target adjustment parameter is used to adjust the working parameter of the production line, and the target adjustment parameter may be one or more.
Optionally, the determining the target adjustment parameter according to the detection result in step 102 may be implemented as follows:
and determining a target adjusting parameter corresponding to the target abnormal grade according to a mapping relation between the preset abnormal grade and the adjusting parameter.
The mapping relationship between the preset abnormal level and the adjustment parameter, that is, different abnormal levels may be stored in advance, and the corresponding adjustment parameters are different.
In a specific implementation, a target adjustment parameter corresponding to the target abnormal level can be determined according to a mapping relation between the preset abnormal level and the adjustment parameter, so that the working parameter can be quantitatively adjusted according to the severity of the abnormal condition.
Optionally, the detection result includes at least one data, each data corresponds to a data identifier, and the step 102 of determining the target adjustment parameter according to the detection result may include the following steps:
21. determining an adjusting parameter corresponding to the data identifier of the at least one data according to a mapping relation between the preset data identifier and the adjusting parameter to obtain the at least one adjusting parameter;
22. and taking the at least one adjusting parameter as the target adjusting parameter.
Wherein the detection result can comprise at least one data, each data can correspond to a data identifier, each data in the detection result is bound with a corresponding working parameter,
in specific implementation, according to the mapping relation between the preset data identifier and the adjustment parameter, the adjustment parameter corresponding to the data identifier of at least one data is determined, at least one adjustment parameter is obtained, and then the at least one adjustment parameter is taken as a target adjustment parameter, further, the corresponding working parameter can be adjusted based on the difference condition of abnormal data in the detection result, and accurate adjustment is facilitated, and further, the production efficiency of the production line is improved.
103. And adjusting the first working parameter according to the target adjusting parameter to obtain a second working parameter, wherein the second working parameter is used for controlling the target production line to work with the second working parameter.
The first working parameters can be adjusted according to the target adjusting parameters to obtain second working parameters, and the second working parameters can be used for controlling the target production line to work with the second working parameters, so that the production efficiency of the target production line can be improved, for example, the production amount of working waste liquid can be improved.
Optionally, step 103 above adjusts the first working parameter according to the target adjustment parameter to obtain a second working parameter, and may include the following steps:
31. acquiring target transportation condition parameters and target detection time intervals of the target waste liquid;
32. determining a target first influence factor corresponding to the target transportation condition parameter according to a mapping relation between the preset transportation condition parameter and the first influence factor;
33. determining a target second influence factor corresponding to the target detection time interval according to a mapping relation between the preset detection time interval and the second influence factor;
34. processing the target adjusting parameters according to the target first influencing factors and the target second influencing factors to obtain reference adjusting parameters;
35. and adjusting the first working parameter according to the reference adjusting parameter to obtain the second working parameter.
In this embodiment, the transportation condition parameter may include at least one of the following: the shipping reserve environmental parameters, shipping time duration, shipping routes, etc., are not limited herein. The mapping relationship between the preset transportation condition parameter and the first influence factor and the mapping relationship between the preset detection time interval and the second influence factor may be stored in advance.
In a specific implementation, a target transportation condition parameter and a target detection time interval of the target waste liquid can be obtained, and then a target first influence factor corresponding to the target transportation condition parameter is determined according to a mapping relation between the preset transportation condition parameter and the first influence factor. In addition, according to the mapping relation between the preset detection time interval and the second influence factor, the target second influence factor corresponding to the target detection time interval is determined, and as the waste liquid is subjected to chemical reaction with air or other substances in the environment along with the time, the detection result becomes more and more serious, further, the target adjustment parameters can be processed according to the target first influence factor and the target second influence factor to obtain the reference adjustment parameters, then the first working parameters are adjusted according to the reference adjustment parameters to obtain the second working parameters, further, the adjustment parameters corresponding to the real detection condition of the waste liquid generated in the production process can be reflected, the optimal production line is realized more pertinently, and the practical value of the waste liquid is also improved.
In the embodiment of the application, through the detection result of the waste liquid, the index abnormal condition is formed into the production line improvement proposal report and the like which are synchronously transmitted to a production enterprise so as to optimize the production line efficiency and stability.
It can be seen that, according to the waste liquid detection method described in the embodiment of the application, the target waste liquid is detected to obtain a detection result, the target waste liquid is the waste liquid generated by the operation of the target production line with the first working parameter, the target adjustment parameter is determined according to the detection result, the first working parameter is adjusted according to the target adjustment parameter to obtain the second working parameter, the second working parameter is used for controlling the target production line to operate with the second working parameter, the detection result can be obtained by detecting the waste liquid, and the working parameter of the production line is adjusted based on the detection result, so that the production line efficiency is optimized, and the utilization value of the waste liquid is further improved.
In accordance with the embodiment shown in fig. 1, please refer to fig. 2, fig. 2 is a schematic flow chart of a waste liquid detection method according to an embodiment of the present application, and the waste liquid detection method is applied to a waste liquid detection device, and includes:
201. and detecting target waste liquid, wherein the target waste liquid is waste liquid generated by the operation of the target production line with the first working parameters, and a detection result is obtained.
202. And determining the target abnormal grade according to the detection result.
203. And when the target abnormal grade is higher than a preset grade, determining a target adjusting parameter according to the detection result.
The preset level may be preset or default. Otherwise, when the target abnormal level is equal to or equal to the preset level, the production line can be considered normal, and adjustment is not needed.
204. And adjusting the first working parameter according to the target adjusting parameter to obtain a second working parameter, wherein the second working parameter is used for controlling the target production line to work with the second working parameter.
The specific description of the steps 201 to 204 may refer to the corresponding steps of the waste liquid detection method described in fig. 1, and will not be repeated herein.
It can be seen that, according to the waste liquid detection method described in the embodiment of the application, the target waste liquid is detected to obtain a detection result, the target abnormal grade is determined according to the detection result, when the target abnormal grade is higher than the preset grade, the target waste liquid is the waste liquid generated by the operation of the target production line with the first working parameter, the target adjustment parameter is determined according to the detection result, the first working parameter is adjusted according to the target adjustment parameter to obtain the second working parameter, the second working parameter is used for controlling the operation of the target production line with the second working parameter, the detection result can be obtained by detecting the waste liquid, and the working parameter of the production line is adjusted based on the detection result, so that the production line efficiency is optimized, and the utilization value of the waste liquid is improved.
In accordance with the above embodiment, referring to fig. 3, fig. 3 is a schematic structural diagram of a waste liquid detection device provided in the embodiment of the present application, as shown in the drawing, which includes a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, and in the embodiment of the present application, the programs include instructions for executing the following steps:
detecting target waste liquid, namely waste liquid generated by the operation of a target production line with a first working parameter, to obtain a detection result;
determining a target regulation parameter according to the detection result;
and adjusting the first working parameter according to the target adjusting parameter to obtain a second working parameter, wherein the second working parameter is used for controlling the target production line to work with the second working parameter.
Optionally, in the aspect of detecting the target waste liquid to obtain a detection result, the program includes instructions for executing the following steps:
detecting the target waste liquid to obtain P data, wherein P is a positive integer;
determining abnormal data from the P data to obtain Q data, wherein Q is a positive integer smaller than or equal to P;
and determining the detection result according to the Q data.
Optionally, each of the Q data corresponds to a data identifier, and in the aspect of determining the detection result according to the Q data, the program includes instructions for executing the following steps:
determining comparison parameters corresponding to each data in the Q data according to a mapping relation between preset data identifiers and comparison parameters to obtain Q groups of comparison parameters;
determining Q deviation degrees according to the Q data and the Q group comparison parameters;
and determining a target abnormal grade according to the Q deviation degrees, and taking the target abnormal grade as the detection result.
Optionally, in the determining the target abnormality level according to the Q degrees of deviation, the program includes instructions for:
determining a weight corresponding to each deviation degree in the Q deviation degrees according to a mapping relation between a preset data identifier and the weight to obtain Q weight values;
calculating the Q deviation degrees and the corresponding weight values in the Q weight values to obtain Q weighted deviation degrees;
determining target mean square deviations corresponding to the Q weighted deviations;
weighting operation is carried out according to the Q deviation degrees and the Q weights, so that reference deviation degrees are obtained;
according to a mapping relation between a preset mean square error and an optimization coefficient, determining a target optimization coefficient corresponding to the target mean square error;
optimizing the reference deviation according to the target optimization coefficient to obtain a first deviation;
and determining the target abnormal grade corresponding to the first deviation according to a mapping relation between the preset deviation and the abnormal grade.
Optionally, in the aspect of determining the target adjustment parameter according to the detection result, the program includes instructions for performing the following steps:
and determining a target adjusting parameter corresponding to the target abnormal grade according to a mapping relation between the preset abnormal grade and the adjusting parameter.
Optionally, the detection result includes at least one data, each data corresponds to a data identifier, and the program includes instructions for executing the following steps in determining the target adjustment parameter according to the detection result:
determining an adjusting parameter corresponding to the data identifier of the at least one data according to a mapping relation between the preset data identifier and the adjusting parameter to obtain the at least one adjusting parameter;
and taking the at least one adjusting parameter as the target adjusting parameter.
Optionally, in the aspect of adjusting the first working parameter according to the target adjustment parameter to obtain a second working parameter, the program includes instructions for executing the following steps:
acquiring target transportation condition parameters and target detection time intervals of the target waste liquid;
determining a target first influence factor corresponding to the target transportation condition parameter according to a mapping relation between the preset transportation condition parameter and the first influence factor;
determining a target second influence factor corresponding to the target detection time interval according to a mapping relation between the preset detection time interval and the second influence factor;
processing the target adjusting parameters according to the target first influencing factors and the target second influencing factors to obtain reference adjusting parameters;
and adjusting the first working parameter according to the reference adjusting parameter to obtain the second working parameter.
It can be seen that, the waste liquid detection device described in the embodiment of the application detects the target waste liquid to obtain a detection result, the target waste liquid is the waste liquid generated by the operation of the target production line with the first working parameter, the target adjustment parameter is determined according to the detection result, the first working parameter is adjusted according to the target adjustment parameter to obtain the second working parameter, the second working parameter is used for controlling the target production line to operate with the second working parameter, the detection result can be obtained by detecting the waste liquid, and the working parameter of the production line is adjusted based on the detection result, so that the production line efficiency is optimized, and the utilization value of the waste liquid is improved.
Fig. 4 is a block diagram showing functional units of a waste liquid detecting device 400 according to an embodiment of the present application, the device 400 including: a detection unit 401, a determination unit 402 and an adjustment unit 403, wherein,
the detection unit 401 is configured to detect a target waste liquid, to obtain a detection result, where the target waste liquid is a waste liquid generated by the target production line operating with the first working parameter;
the determining unit 402 is configured to determine a target adjustment parameter according to the detection result;
the adjusting unit 403 is configured to adjust the first working parameter according to the target adjusting parameter to obtain a second working parameter, where the second working parameter is used to control the target production line to perform an operation according to the second working parameter.
Optionally, in terms of detecting the target waste liquid to obtain a detection result, the detecting unit 401 is specifically configured to:
detecting the target waste liquid to obtain P data, wherein P is a positive integer;
determining abnormal data from the P data to obtain Q data, wherein Q is a positive integer smaller than or equal to P;
and determining the detection result according to the Q data.
Optionally, each data in the Q data corresponds to a data identifier, and in the aspect of determining the detection result according to the Q data, the detection unit 401 is specifically configured to:
determining comparison parameters corresponding to each data in the Q data according to a mapping relation between preset data identifiers and comparison parameters to obtain Q groups of comparison parameters;
determining Q deviation degrees according to the Q data and the Q group comparison parameters;
and determining a target abnormal grade according to the Q deviation degrees, and taking the target abnormal grade as the detection result.
Optionally, in the aspect of determining the target abnormality level according to the Q degrees of deviation, the detecting unit 401 is specifically configured to:
determining a weight corresponding to each deviation degree in the Q deviation degrees according to a mapping relation between a preset data identifier and the weight to obtain Q weight values;
calculating the Q deviation degrees and the corresponding weight values in the Q weight values to obtain Q weighted deviation degrees;
determining target mean square deviations corresponding to the Q weighted deviations;
weighting operation is carried out according to the Q deviation degrees and the Q weights, so that reference deviation degrees are obtained;
according to a mapping relation between a preset mean square error and an optimization coefficient, determining a target optimization coefficient corresponding to the target mean square error;
optimizing the reference deviation according to the target optimization coefficient to obtain a first deviation;
and determining the target abnormal grade corresponding to the first deviation according to a mapping relation between the preset deviation and the abnormal grade.
Optionally, in the aspect of determining the target adjustment parameter according to the detection result, the determining unit 402 is specifically configured to:
and determining a target adjusting parameter corresponding to the target abnormal grade according to a mapping relation between the preset abnormal grade and the adjusting parameter.
Optionally, the detection result includes at least one data, each data corresponds to a data identifier, and in the aspect of determining the target adjustment parameter according to the detection result, the determining unit 402 is specifically configured to:
determining an adjusting parameter corresponding to the data identifier of the at least one data according to a mapping relation between the preset data identifier and the adjusting parameter to obtain the at least one adjusting parameter;
and taking the at least one adjusting parameter as the target adjusting parameter.
Optionally, in the aspect that the first working parameter is adjusted according to the target adjustment parameter to obtain the second working parameter, the adjusting unit 403 is specifically configured to:
acquiring target transportation condition parameters and target detection time intervals of the target waste liquid;
determining a target first influence factor corresponding to the target transportation condition parameter according to a mapping relation between the preset transportation condition parameter and the first influence factor;
determining a target second influence factor corresponding to the target detection time interval according to a mapping relation between the preset detection time interval and the second influence factor;
processing the target adjusting parameters according to the target first influencing factors and the target second influencing factors to obtain reference adjusting parameters;
and adjusting the first working parameter according to the reference adjusting parameter to obtain the second working parameter.
It can be seen that, the waste liquid detection device described in the embodiment of the application detects the target waste liquid to obtain a detection result, the target waste liquid is the waste liquid generated by the operation of the target production line with the first working parameter, the target adjustment parameter is determined according to the detection result, the first working parameter is adjusted according to the target adjustment parameter to obtain the second working parameter, the second working parameter is used for controlling the target production line to operate with the second working parameter, the detection result can be obtained by detecting the waste liquid, and the working parameter of the production line is adjusted based on the detection result, so that the production line efficiency is optimized, and the utilization value of the waste liquid is improved.
It can be understood that the functions of each program module of the waste liquid detection device of the present embodiment may be specifically implemented according to the method in the foregoing method embodiment, and the specific implementation process may refer to the relevant description of the foregoing method embodiment, which is not repeated herein.
The embodiment of the application also provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program makes a computer execute part or all of the steps of any one of the methods described in the embodiment of the method, and the computer includes a waste liquid detection device.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer-readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any one of the methods described in the method embodiments above. The computer program product may be a software installation package, said computer comprising waste liquid detection means.
It should be noted that, for simplicity of description, the foregoing method embodiments are all expressed as a series of action combinations, but it should be understood by those skilled in the art that the present application is not limited by the order of actions described, as some steps may be performed in other order or simultaneously in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily required in the present application.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, such as the above-described division of units, merely a division of logic functions, and there may be additional manners of dividing in actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, or may be in electrical or other forms.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units described above, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a memory, including several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the above-mentioned method of the various embodiments of the present application. And the aforementioned memory includes: a U-disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Those of ordinary skill in the art will appreciate that all or a portion of the steps in the various methods of the above embodiments may be implemented by a program that instructs associated hardware, and the program may be stored in a computer readable memory, which may include: flash disk, read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), magnetic disk or optical disk.
The foregoing has outlined rather broadly the more detailed description of embodiments of the present application, wherein specific examples are provided herein to illustrate the principles and embodiments of the present application, the above examples being provided solely to assist in the understanding of the methods of the present application and the core ideas thereof; meanwhile, as those skilled in the art will have modifications in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.
Claims (6)
1. A method for detecting waste liquid, the method comprising:
detecting target waste liquid, namely waste liquid generated by the operation of a target production line with a first working parameter, to obtain a detection result;
determining a target regulation parameter according to the detection result;
adjusting the first working parameter according to the target adjusting parameter to obtain a second working parameter, wherein the second working parameter is used for controlling the target production line to work with the second working parameter;
wherein, detect the target waste liquid, obtain the testing result, include:
detecting the target waste liquid to obtain P data, wherein P is a positive integer;
determining abnormal data from the P data to obtain Q data, wherein Q is a positive integer smaller than or equal to P;
determining the detection result according to the Q data;
wherein each data in the Q data corresponds to a data identifier, and the determining the detection result according to the Q data includes:
determining comparison parameters corresponding to each data in the Q data according to a mapping relation between preset data identifiers and comparison parameters to obtain Q groups of comparison parameters;
determining Q deviation degrees according to the Q data and the Q group comparison parameters;
determining a target abnormal grade according to the Q deviation degrees, and taking the target abnormal grade as the detection result;
wherein the determining the target abnormality level according to the Q degrees of deviation includes:
determining a weight corresponding to each deviation degree in the Q deviation degrees according to a mapping relation between a preset data identifier and the weight to obtain Q weight values;
calculating the Q deviation degrees and the corresponding weight values in the Q weight values to obtain Q weighted deviation degrees;
determining target mean square deviations corresponding to the Q weighted deviations;
weighting operation is carried out according to the Q deviation degrees and the Q weights, so that reference deviation degrees are obtained;
according to a mapping relation between a preset mean square error and an optimization coefficient, determining a target optimization coefficient corresponding to the target mean square error;
optimizing the reference deviation according to the target optimization coefficient to obtain a first deviation;
determining the target abnormal level corresponding to the first deviation according to a mapping relation between a preset deviation and an abnormal level;
wherein, the determining the target adjustment parameter according to the detection result includes:
and determining a target adjusting parameter corresponding to the target abnormal grade according to a mapping relation between the preset abnormal grade and the adjusting parameter.
2. The method of claim 1, wherein the detection result includes at least one data, each data corresponding to a data identifier, and wherein determining the target adjustment parameter based on the detection result includes:
determining an adjusting parameter corresponding to the data identifier of the at least one data according to a mapping relation between the preset data identifier and the adjusting parameter to obtain the at least one adjusting parameter;
and taking the at least one adjusting parameter as the target adjusting parameter.
3. The method of claim 1, wherein adjusting the first operating parameter according to the target adjustment parameter results in a second operating parameter, comprising:
acquiring target transportation condition parameters and target detection time intervals of the target waste liquid;
determining a target first influence factor corresponding to the target transportation condition parameter according to a mapping relation between the preset transportation condition parameter and the first influence factor;
determining a target second influence factor corresponding to the target detection time interval according to a mapping relation between the preset detection time interval and the second influence factor;
processing the target adjusting parameters according to the target first influencing factors and the target second influencing factors to obtain reference adjusting parameters;
and adjusting the first working parameter according to the reference adjusting parameter to obtain the second working parameter.
4. A waste liquid detection device, the device comprising: a detection unit, a determination unit and an adjustment unit, wherein,
the detection unit is used for detecting target waste liquid to obtain a detection result, wherein the target waste liquid is generated by the operation of a target production line with a first working parameter;
the determining unit is used for determining a target adjusting parameter according to the detection result;
the adjusting unit is used for adjusting the first working parameter according to the target adjusting parameter to obtain a second working parameter, and the second working parameter is used for controlling the target production line to work with the second working parameter;
wherein, detect the target waste liquid, obtain the testing result, include:
detecting the target waste liquid to obtain P data, wherein P is a positive integer;
determining abnormal data from the P data to obtain Q data, wherein Q is a positive integer smaller than or equal to P;
determining the detection result according to the Q data;
wherein each data in the Q data corresponds to a data identifier, and the determining the detection result according to the Q data includes:
determining comparison parameters corresponding to each data in the Q data according to a mapping relation between preset data identifiers and comparison parameters to obtain Q groups of comparison parameters;
determining Q deviation degrees according to the Q data and the Q group comparison parameters;
determining a target abnormal grade according to the Q deviation degrees, and taking the target abnormal grade as the detection result;
wherein the determining the target abnormality level according to the Q degrees of deviation includes:
determining a weight corresponding to each deviation degree in the Q deviation degrees according to a mapping relation between a preset data identifier and the weight to obtain Q weight values;
calculating the Q deviation degrees and the corresponding weight values in the Q weight values to obtain Q weighted deviation degrees;
determining target mean square deviations corresponding to the Q weighted deviations;
weighting operation is carried out according to the Q deviation degrees and the Q weights, so that reference deviation degrees are obtained;
according to a mapping relation between a preset mean square error and an optimization coefficient, determining a target optimization coefficient corresponding to the target mean square error;
optimizing the reference deviation according to the target optimization coefficient to obtain a first deviation;
determining the target abnormal level corresponding to the first deviation according to a mapping relation between a preset deviation and an abnormal level;
wherein, the determining the target adjustment parameter according to the detection result includes:
and determining a target adjusting parameter corresponding to the target abnormal grade according to a mapping relation between the preset abnormal grade and the adjusting parameter.
5. A waste liquid detection device comprising a processor, a memory for storing one or more programs and configured to be executed by the processor, the programs comprising instructions for performing the steps in the method of any of claims 1-3.
6. A computer-readable storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any of claims 1-3.
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| AU2011227140B8 (en) * | 2010-03-19 | 2015-02-12 | Concordia Coffee Company, Inc. | Method and apparatus for controlling brewed beverage quality |
| US20120114814A1 (en) * | 2010-11-05 | 2012-05-10 | The Coca-Cola Company | Method of beverage production, apparatus and system |
| CN108408958A (en) * | 2018-03-06 | 2018-08-17 | 重庆环益科技有限公司 | A kind of swimming pool water on-line monitoring and control system based on Internet of Things |
| CN109368760B (en) * | 2018-10-15 | 2021-09-07 | 万华化学集团股份有限公司 | Method for realizing self-adaptive control of wastewater pH in DCS |
| CN213231787U (en) * | 2020-05-26 | 2021-05-18 | 河南达江环保科技有限公司 | Swimming pool water treatment equipment with water quality monitoring function |
| CN111620398B (en) * | 2020-06-04 | 2022-09-23 | 福建钰融科技有限公司 | Method for recovering waste stripping liquid containing NMP, recovered stripping liquid and application |
| CN113513830A (en) * | 2021-04-01 | 2021-10-19 | 珠海格力电器股份有限公司 | Method and device for adjusting working parameters |
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