CN115167313B - Organic waste cooperative recycling treatment system based on 5G intelligent factory - Google Patents

Organic waste cooperative recycling treatment system based on 5G intelligent factory Download PDF

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CN115167313B
CN115167313B CN202210928781.5A CN202210928781A CN115167313B CN 115167313 B CN115167313 B CN 115167313B CN 202210928781 A CN202210928781 A CN 202210928781A CN 115167313 B CN115167313 B CN 115167313B
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waste
value
organic waste
intelligent factory
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CN115167313A (en
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李剑
徐站领
李铮
李洪燕
郭朝平
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Anhui United Venture Renewable Energy Technology Co ltd
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/418Total 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] or computer integrated manufacturing [CIM]
    • G05B19/4185Total 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] or computer integrated manufacturing [CIM] characterised by the network communication
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
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Abstract

The invention belongs to the field of waste treatment, relates to a data analysis technology, and is used for solving the problem that the conventional organic waste treatment system cannot plan the treatment capacity of organic waste according to the self historical treatment data subject, in particular to an organic waste cooperative resource treatment system based on a 5G intelligent factory, which comprises an organic treatment platform, wherein the organic treatment platform is in communication connection with a treatment monitoring module, a period management module, a cooperative analysis module and a storage module, and the treatment monitoring module is used for monitoring and analyzing the organic waste treatment of the intelligent factory; the invention monitors and analyzes the daily organic waste treatment effect of an intelligent factory, comprehensively analyzes the energy data, the useful data and the useless data to obtain the treatment coefficient, visually feeds back the treatment effect of the organic waste according to the numerical value of the treatment coefficient, and feeds back the treatment effect in time when the treatment effect is abnormal.

Description

Organic waste cooperative recycling treatment system based on 5G intelligent factory
Technical Field
The invention belongs to the field of waste treatment, relates to a data analysis technology, and particularly relates to an organic waste cooperative recycling treatment system based on a 5G intelligent factory.
Background
The organic waste treatment refers to the physical, chemical and biological treatment of organic waste and pollutants thereof, so that the pollution to the environment is reduced, even the waste is changed into valuable, and the basic treatment method comprises the following steps: composting, incineration, sanitary landfill, plasma treatment, thermal desorption, on-site vitrification and other technologies;
the existing organic waste treatment system generally monitors the treatment effect through the output of combustible substances and the output of pollutants, however, because the weight values of organic wastes treated every day are different, the treatment effect of the organic waste treatment system has certain difference, the existing organic wastes cannot plan the treatment amount of the organic wastes according to the own historical treatment data subject, and only can carry out waste treatment according to indexes blindly, so that the treatment effect of the wastes obtained every day is uncontrollable, and even the phenomena of reduction of the produced combustible substances and increase of the pollutants occur;
in view of the above technical problem, the present application proposes a solution.
Disclosure of Invention
The invention aims to provide an organic waste cooperative recycling treatment system based on a 5G intelligent factory, which is used for solving the problem that the conventional organic waste treatment system cannot plan the treatment capacity of organic waste according to the historical treatment data subject of the conventional organic waste treatment system.
The technical problems to be solved by the invention are as follows: an organic waste treatment system capable of planning the treatment amount of organic waste based on its own historical treatment data.
The purpose of the invention can be realized by the following technical scheme:
the organic waste cooperative recycling treatment system based on the 5G intelligent factory comprises an organic treatment platform, wherein the organic treatment platform is in communication connection with a treatment monitoring module, a period management module, a cooperative analysis module and a storage module;
the processing monitoring module is used for monitoring and analyzing the organic waste processing of the intelligent factory, acquiring the weight value of the organic waste processed every day by the intelligent factory and marking the weight value as a waste weight value FZ, acquiring the energy data, useful data and useless data of the organic waste processed by the intelligent factory and carrying out numerical calculation to obtain a processing coefficient, and judging whether the waste processing effect of the intelligent factory on the same day meets the requirement or not according to the numerical value of the processing coefficient;
the period management module is used for planning and analyzing organic waste treatment of an intelligent factory, setting a treatment period with the number of days being L1, monitoring the organic waste treatment each day in the treatment period and obtaining a treatment coefficient of the intelligent factory each day, sequencing L1 treatment coefficients from large to small after the number of days for treating the organic waste in the intelligent factory reaches L1, obtaining waste values corresponding to the first L2 treatment coefficients and marking the waste values as excellent waste values, obtaining waste values corresponding to the last L2 treatment coefficients and marking the waste values as inferior waste values, establishing a waste weight set with the excellent waste values and the inferior waste values, carrying out variance calculation on the waste weight set to obtain deviation coefficients, obtaining the deviation threshold values through the storage module, comparing the deviation coefficients with the deviation threshold values and obtaining the excellent waste range through the comparison result, planning the waste weight values treated each day in the intelligent factory in the treatment period at the beginning of the next treatment period, and planning the waste weight values treated each day in the intelligent factory after planning all need to be located in the excellent waste range of the previous treatment period;
and the cooperative analysis module is used for performing cooperative analysis on the organic waste resource treatment of the intelligent factory.
As a preferred embodiment of the present invention, the energy data is a sum of an electric quantity value and a fuel weight value consumed by the intelligent factory for processing the organic waste every day;
the useful data are the volume value of combustible gas generated after the organic waste is treated, the weight value of solid black carbon and the sum value of the weight values of tar;
the useless data is the sum of the volume value of the flue gas generated after the organic waste is treated and the weight value of the sewage.
As a preferred embodiment of the invention, the specific process for judging whether the daily waste treatment effect of the intelligent factory meets the requirement comprises the following steps: acquiring a processing threshold value through a storage module, and comparing the processing coefficient with the processing threshold value: if the processing coefficient is larger than the processing threshold value, judging that the daily waste treatment effect of the intelligent factory meets the requirement; and if the processing coefficient is less than or equal to the processing threshold value, judging that the waste treatment effect of the intelligent factory on the same day does not meet the requirement, and sending an unqualified processing signal to the waste treatment platform by the processing monitoring module.
As a preferred embodiment of the present invention, the process of acquiring the extent of excellent waste includes: if the deviation coefficient is smaller than or equal to the deviation threshold value, judging that the operation compliance of the organic waste treatment worker does not meet the requirement, sending a worker training signal to the organic treatment platform by the period management module, and sending the worker training signal to a mobile phone terminal of a manager after the organic treatment platform receives the worker training signal; and if the deviation coefficient is larger than the deviation threshold value, marking the range formed by the maximum excellent-useless value and the minimum excellent-useless value as an excellent-useless range.
As a preferred embodiment of the present invention, the specific process of the cooperative analysis module for performing cooperative analysis on the organic waste recycling process of the intelligent plant includes: drawing a circle by taking an intelligent factory as a circle center and r1 as a radius, marking the obtained circular area as a collaborative area, marking all organic waste treatment factories in the collaborative area as an analysis object i, i =1,2, \ 8230, wherein n and n are positive integers, obtaining the waste weight value and the treatment coefficient of the analysis object i in the previous treatment period, summing the waste weight values of the analysis object in the previous treatment period every day and averaging to obtain a waste weight representation value FBi, and summing the treatment coefficients of the analysis object in the previous treatment period every day and averaging to obtain a treatment representation value CBi; obtaining a digestion coefficient XYi of an analysis object by carrying out numerical calculation on the waste weight expression value FBi and the treatment expression value CBi; the method comprises the steps of obtaining a linear distance value between an analysis object i and an intelligent factory and marking the linear distance value as ZLI, marking the ratio of a digestion coefficient XYi of the analysis object i to the linear distance value JZLI as a cooperative coefficient of the analysis object, marking L3 analysis objects with the largest cooperative coefficients as screening objects, marking the screening objects with the smallest linear distance values as cooperative objects of the intelligent factory, sending the cooperative objects to an organic processing platform, and sending the received cooperative objects to a mobile phone terminal of a manager by the organic processing platform.
As a preferred embodiment of the present invention, the specific process of performing the cooperative analysis on the organic waste recycling process of the intelligent plant further comprises: establishing a digestion set according to the processing expression value of the analysis object, performing variance calculation on the digestion set to obtain a digestion expression value of the collaborative area, acquiring a digestion expression threshold value through a storage module, and comparing the digestion expression value with the digestion expression threshold value:
if the digestion performance value is larger than or equal to the digestion performance threshold value, judging that the organic waste treatment factory in the collaborative area is unqualified in resource treatment of the organic waste, sending a reinforced collaboration signal to the organic treatment platform by the collaborative analysis module, and sending the received reinforced collaboration signal to a mobile phone terminal of a manager by the organic treatment platform;
and if the digestion performance value is smaller than the digestion performance threshold value, judging that the organic waste resource treatment of the organic waste treatment plants in the cooperative area is qualified.
The working method of the organic waste collaborative resource treatment system based on the 5G intelligent factory comprises the following steps:
the method comprises the following steps: monitoring and analyzing organic waste treatment of an intelligent factory, obtaining a daily treatment coefficient of the intelligent factory by carrying out numerical calculation on energy data, useful data and useless data of the organic waste treated by the intelligent factory, and judging whether the daily waste treatment effect of the intelligent factory meets the requirement or not according to the numerical value of the treatment coefficient;
step two: planning and analyzing organic waste treatment of an intelligent factory, monitoring the organic waste treatment every day in a treatment period, acquiring the treatment coefficients every day of the intelligent factory, sequencing the treatment coefficients, acquiring a good waste value and a bad waste value, obtaining a good waste range by carrying out numerical calculation on the good waste value and the bad waste value, and planning the waste value treated every day in the intelligent factory in the treatment period through the good waste range when the next treatment period starts;
step three: and carrying out cooperative analysis on the organic waste resource treatment of the intelligent factory to obtain a cooperative object of the intelligent factory, carrying out numerical calculation on the treatment performance value of the analysis object to obtain a digestion performance value, and judging whether the resource treatment of the organic waste in the organic waste treatment factory in the cooperative area is qualified or not according to the numerical value of the digestion performance value.
The invention has the following beneficial effects:
1. the processing monitoring module can monitor and analyze the daily organic waste processing effect of an intelligent factory, comprehensively analyze the energy data, the useful data and the useless data to obtain a processing coefficient, visually feed back the organic waste processing effect according to the numerical value of the processing coefficient, and feed back the organic waste processing effect in time when the processing effect is abnormal;
2. the intelligent factory daily organic waste treatment capacity can be planned and analyzed through the period management module, the excellent waste range is obtained through matching and analyzing the daily treatment effect and the waste weight value in the treatment period, and then the organic waste treatment capacity in the next period is standardized through the excellent waste range, so that the organic waste treatment effect of the intelligent factory in the treatment period is kept at the best level;
3. the cooperative analysis module can be used for performing cooperative analysis on the organic waste resource treatment of the intelligent factory, the cooperative objects are obtained by screening in the cooperative area, the cooperative objects are matched with the intelligent factory, the whole waste treatment effect in the cooperative area is improved, the organic waste treatment effect difference of each analysis object in the cooperative area is monitored through the digestion expression value, and the cooperative cooperation tension between the organic waste treatment factories is improved.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is an overall system block diagram of the present invention;
FIG. 2 is a block diagram of a system according to a first embodiment of the present invention;
FIG. 3 is a block diagram of a system according to a second embodiment of the present invention;
fig. 4 is a flowchart of a method according to a third embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, the organic waste cooperative recycling system based on the 5G intelligent factory includes an organic processing platform, and the organic processing platform is communicatively connected with a processing monitoring module, a period management module, a cooperative analysis module and a storage module.
Example one
As shown in fig. 2, the process monitoring module is used for monitoring and analyzing the organic waste treatment of the intelligent plant: acquiring a weight value of organic waste processed by an intelligent factory every day, marking the weight value as a waste weight value FZ, and acquiring energy data NY, useful data YY and useless data WY of the organic waste processed by the intelligent factory, wherein the energy data NY is a sum of an electric quantity value and a fuel oil weight value consumed by the intelligent factory every day for processing the organic waste; useful data YY is the sum of the volume value of combustible gas generated after organic waste treatment, the weight value of solid black carbon and the weight value of tar; the useless data WY is the sum of the volume value of the flue gas generated after the organic waste is treated and the weight value of the sewage; obtaining a treatment coefficient CL of the intelligent plant on the day through a formula CL = (alpha 1 × YY)/(alpha 2 × NY + alpha 3 × WY), wherein the treatment coefficient is a numerical value reflecting the effect of the intelligent plant on treating the organic waste, the larger the numerical value of the treatment coefficient is, the better the effect of the intelligent plant on treating the organic waste on the day is, wherein alpha 1, alpha 2 and alpha 3 are proportionality coefficients, and alpha 1 is more than alpha 2 and more than alpha 3 and more than 1; acquiring a processing threshold CLmin through a storage module, and comparing the processing coefficient CL with the processing threshold CLmin: if the processing coefficient CL is greater than the processing threshold CLmin, judging that the daily waste treatment effect of the intelligent factory meets the requirement; if the processing coefficient CL is less than or equal to the processing threshold CLmin, judging that the waste processing effect of the intelligent factory on the same day does not meet the requirement, and sending an unqualified processing signal to the waste processing platform by the processing monitoring module; the method comprises the steps of monitoring and analyzing the daily organic waste treatment effect of an intelligent factory, carrying out comprehensive analysis by combining energy data, useful data and useless data to obtain a treatment coefficient, visually feeding back the treatment effect of the organic waste through the numerical value of the treatment coefficient, and feeding back the treatment effect in time when the treatment effect is abnormal.
The period management module is used for planning and analyzing the organic waste treatment of the intelligent factory: setting a treatment period with the number of days being L1, wherein L1 is a numerical constant, the numerical value of L1 is set by a manager, monitoring the organic waste treatment every day in the treatment period and obtaining the treatment coefficient of an intelligent factory every day, after the number of days for treating the organic waste in the intelligent factory reaches L1, sequencing L1 treatment coefficients in a descending order, obtaining the waste weight values corresponding to the first L2 treatment coefficients and marking the waste weight values as excellent waste values, wherein L2 is a numerical constant, and L2 is less than L1/2; acquiring waste weight values corresponding to the L2 processing coefficients, marking the waste weight values as inferior waste values, establishing a waste weight set between the superior waste values and the inferior waste values, and performing variance calculation on the waste weight set to obtain a deviation coefficient, wherein the deviation coefficient is a numerical value reflecting the influence degree of the waste weight values on the processing coefficients, and if the deviation coefficient is too small, the difference of processing effects generated when organic wastes with similar waste weight values are processed is larger, so that operators need to be trained in an operation standard, and if the deviation coefficient is larger, the difference of the processing effects of the organic wastes when different waste weight values are processed is larger, so that an optimal waste range can be acquired according to the optimal waste values to provide a planning basis for a subsequent processing period, and the weight of the organic wastes processed every day in an intelligent factory is scientifically planned; acquiring a deviation threshold value through a storage module, and comparing a deviation coefficient with the deviation threshold value: if the deviation coefficient is smaller than or equal to the deviation threshold value, judging that the operation compliance of the organic waste treatment worker does not meet the requirement, sending a worker training signal to the organic treatment platform by the period management module, and sending the worker training signal to a mobile phone terminal of a manager after the organic treatment platform receives the worker training signal; if the deviation coefficient is larger than the deviation threshold value, marking a range formed by the maximum optimal waste value and the minimum optimal waste value as an optimal waste range, planning the waste weight values processed by the intelligent factory every day in the processing period when the next processing period starts, and enabling the planned waste weight values processed by the intelligent factory every day to be located in the optimal waste range of the previous processing period; planning and analyzing the daily organic waste treatment capacity of the intelligent factory, obtaining an optimal waste range by matching and analyzing the daily treatment effect and the waste weight value in the treatment period, and further standardizing the organic waste treatment capacity of the next period through the optimal waste range to ensure that the organic waste treatment effect of the intelligent factory in the treatment period is kept at the best level; it should be noted that the same processing cycle is only planned for organic wastes from the same raw material source, and the processing cycle can be switched to perform processing planning when the raw material source is replaced, so that different planning standards are matched for organic wastes from different raw material sources.
Example two
As shown in fig. 3, under the premise that the organic waste treatment plant performs the treatment cycle planning, the resource coordination scheduling between plants is particularly important, and after the respective treatment cycle planning is completed, the organic waste treatment effect of the whole area can be ensured by the resource scheduling between plants.
The cooperative analysis module is used for performing cooperative analysis on the organic waste resource treatment of the intelligent factory: drawing a circle by taking an intelligent factory as a circle center and r1 as a radius, marking the obtained circular area as a collaborative area, marking all organic waste treatment factories in the collaborative area as an analysis object i, i =1,2, \ 8230, wherein n and n are positive integers, obtaining the waste weight value and the treatment coefficient of the analysis object i in the previous treatment period, summing the waste weight values of the analysis object in the previous treatment period every day and averaging to obtain a waste weight representation value FBi, and summing the treatment coefficients of the analysis object in the previous treatment period every day and averaging to obtain a treatment representation value CBi; obtaining a digestion coefficient XYi of the analysis object through a formula XYi = β 1 FBi + β 2 CBi, wherein the digestion coefficient is a numerical value reflecting the organic waste treatment capacity of the analysis object, and the larger the numerical value of the digestion coefficient is, the stronger the organic waste treatment capacity of the corresponding analysis object is; wherein, the beta 1 and the beta 2 are proportional coefficients, and the beta 1 is more than the beta 2 and more than 1; acquiring a linear distance value of an analysis object i and an intelligent factory and marking the linear distance value as ZLI, marking the ratio of a digestion coefficient XYi of the analysis object i to the linear distance value JZLI as a cooperative coefficient of the analysis object, marking L3 analysis objects with the largest cooperative coefficients as screening objects, marking the screening objects with the smallest linear distance values as cooperative objects of the intelligent factory, sending the cooperative objects to an organic processing platform, and sending the received cooperative objects to a mobile phone terminal of a manager by the organic processing platform; establishing a digestion set according to the processing expression value of the analysis object, performing variance calculation on the digestion set to obtain a digestion expression value of the collaborative area, acquiring a digestion expression threshold value through a storage module, and comparing the digestion expression value with the digestion expression threshold value: if the digestion performance value is larger than or equal to the digestion performance threshold value, judging that the organic waste treatment factory in the collaborative area is unqualified in resource treatment of the organic waste, sending a reinforced collaboration signal to the organic treatment platform by the collaborative analysis module, and sending the received reinforced collaboration signal to a mobile phone terminal of a manager by the organic treatment platform; if the digestion performance value is smaller than the digestion performance threshold value, judging that the organic waste treatment factory in the cooperative area is qualified in resource treatment of the organic waste; the method comprises the steps of carrying out collaborative analysis on organic waste recycling treatment of an intelligent factory, screening in a collaborative area to obtain collaborative objects, further matching the collaborative objects with the intelligent factory, improving the whole waste treatment effect in the collaborative area, monitoring the difference of the organic waste treatment effect of each analysis object in the collaborative area through a digestion expression value, and improving collaborative tension between the organic waste treatment factories.
EXAMPLE III
As shown in fig. 4, the organic waste cooperative recycling method based on the 5G intelligent factory includes the following steps:
the method comprises the following steps: monitoring and analyzing organic waste treatment of an intelligent factory, obtaining a daily treatment coefficient of the intelligent factory by carrying out numerical calculation on energy data NY, useful data YY and useless data WY of the organic waste treated by the intelligent factory, and judging whether the daily waste treatment effect of the intelligent factory meets the requirement or not according to the numerical value of the treatment coefficient;
step two: planning and analyzing organic waste treatment of an intelligent factory, monitoring the organic waste treatment every day in a treatment period, acquiring the treatment coefficients every day of the intelligent factory, sequencing the treatment coefficients, acquiring a good waste value and a bad waste value, obtaining a good waste range by carrying out numerical calculation on the good waste value and the bad waste value, and planning the waste value treated every day in the intelligent factory in the treatment period through the good waste range when the next treatment period starts;
step three: and carrying out cooperative analysis on the organic waste resource treatment of the intelligent factory, obtaining a cooperative object of the intelligent factory, carrying out numerical calculation on the treatment expression value of the analysis object to obtain a digestion expression value, and judging whether the resource treatment of the organic waste in the organic waste treatment factory in the cooperative area is qualified or not according to the numerical value of the digestion expression value.
The organic waste collaborative resource treatment system based on the 5G intelligent factory monitors and analyzes organic waste treatment of the intelligent factory during working, obtains a daily treatment coefficient of the intelligent factory by carrying out numerical calculation on energy data, useful data and useless data of organic waste treatment of the intelligent factory, judges whether the daily waste treatment effect of the intelligent factory meets the requirement or not according to the numerical value of the treatment coefficient, and feeds back the treatment effect in time when the treatment effect is abnormal; the organic waste treatment of the intelligent factory is planned and analyzed, the organic waste treatment is monitored every day in a treatment period, the daily treatment coefficients of the intelligent factory are obtained, the treatment coefficients are sequenced and the excellent waste value and the inferior waste value are obtained, the excellent waste range is obtained by carrying out numerical calculation on the excellent waste value and the inferior waste value, the organic waste treatment capacity of the next period is regulated through the excellent waste range, and the organic waste treatment effect of the intelligent factory in the treatment period is kept at the best level.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
The formulas are obtained by acquiring a large amount of data and performing software simulation, and the coefficients in the formulas are set by the technicians in the field according to actual conditions; such as: formula CL = (α 1 × yy)/(α 2 × ny + α 3 × wy); collecting multiple groups of sample data and setting corresponding processing coefficients for each group of sample data by a person skilled in the art; substituting the set processing coefficient and the acquired sample data into formulas, forming a ternary linear equation set by any three formulas, screening the calculated coefficients and taking the mean value to obtain values of alpha 1, alpha 2 and alpha 3 which are 5.68, 3.25 and 2.17 respectively;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and regarding the size of the coefficient, the size depends on the number of sample data and a corresponding processing coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relationship between the parameters and the quantized values is not affected, for example, the processing coefficients are proportional to the values of the useful data.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims (6)

1. The organic waste cooperative recycling treatment system based on the 5G intelligent factory comprises an organic treatment platform and is characterized in that the organic treatment platform is in communication connection with a treatment monitoring module, a period management module, a cooperative analysis module and a storage module;
the processing monitoring module is used for monitoring and analyzing the organic waste processing of the intelligent factory, acquiring the weight value of the organic waste processed every day by the intelligent factory and marking the weight value as a waste weight value FZ, acquiring the energy data, useful data and useless data of the organic waste processed by the intelligent factory and carrying out numerical calculation to obtain a processing coefficient, and judging whether the waste processing effect of the intelligent factory on the same day meets the requirement or not according to the numerical value of the processing coefficient;
the period management module is used for planning and analyzing organic waste treatment of an intelligent factory, setting a treatment period with the number of days being L1, monitoring the organic waste treatment each day in the treatment period and obtaining a treatment coefficient of the intelligent factory each day, sequencing L1 treatment coefficients from large to small after the number of days for treating the organic waste in the intelligent factory reaches L1, obtaining waste values corresponding to the first L2 treatment coefficients and marking the waste values as excellent waste values, obtaining waste values corresponding to the last L2 treatment coefficients and marking the waste values as inferior waste values, establishing a waste weight set with the excellent waste values and the inferior waste values, carrying out variance calculation on the waste weight set to obtain deviation coefficients, obtaining the deviation threshold values through the storage module, comparing the deviation coefficients with the deviation threshold values and obtaining the excellent waste range through the comparison result, planning the waste weight values treated each day in the intelligent factory in the treatment period at the beginning of the next treatment period, and planning the waste weight values treated each day in the intelligent factory after planning all need to be located in the excellent waste range of the previous treatment period;
the cooperative analysis module is used for performing cooperative analysis on the organic waste resource treatment of the intelligent factory;
the energy data is the sum of the electric quantity value and the fuel oil weight value which are used for processing the organic waste every day by the intelligent factory;
the useful data are the volume value of combustible gas generated after the organic waste is treated, the weight value of solid black carbon and the sum value of the weight values of tar;
the useless data is the sum of the volume value of the flue gas generated after the organic waste is treated and the weight value of the sewage;
the processing coefficient is calculated by a formula CL = (alpha 1 × YY)/(alpha 2 × NY + alpha 3 × WY), wherein CL is a numerical value of the processing coefficient, YY, NY and WY are numerical values of useful data, energy data and useless data respectively, alpha 1, alpha 2 and alpha 3 are proportionality coefficients, and alpha 1 is more than alpha 2 and more than alpha 3;
l1 and L2 are both constant values, and L2 is less than L1/2.
2. The system for the cooperative recycling of organic waste based on a 5G intelligent factory as claimed in claim 1, wherein the specific process of determining whether the daily waste treatment effect of the intelligent factory meets the requirement comprises: acquiring a processing threshold value through a storage module, and comparing the processing coefficient with the processing threshold value: if the processing coefficient is larger than the processing threshold value, judging that the daily waste treatment effect of the intelligent factory meets the requirement; and if the processing coefficient is less than or equal to the processing threshold value, judging that the waste treatment effect of the intelligent factory on the same day does not meet the requirement, and sending an unqualified processing signal to the waste treatment platform by the processing monitoring module.
3. The 5G intelligent factory-based organic waste cooperative resource treatment system as claimed in claim 1, wherein the acquisition process of the high-grade waste range comprises: if the deviation coefficient is smaller than or equal to the deviation threshold value, judging that the operation compliance of the organic waste treatment worker does not meet the requirement, sending a worker training signal to the organic treatment platform by the period management module, and sending the worker training signal to a mobile phone terminal of a manager after the organic treatment platform receives the worker training signal; and if the deviation coefficient is larger than the deviation threshold value, marking the range formed by the maximum excellent-useless value and the minimum excellent-useless value as an excellent-useless range.
4. The organic waste cooperative resource processing system based on the 5G intelligent factory is characterized in that the specific process of the cooperative analysis module for performing the cooperative analysis on the organic waste resource processing of the intelligent factory comprises the following steps: drawing a circle by taking an intelligent factory as a circle center and r1 as a radius, marking the obtained circular area as a collaborative area, marking all organic waste treatment factories in the collaborative area as an analysis object i, i =1,2, \ 8230, wherein n and n are positive integers, obtaining the waste weight value and the treatment coefficient of the analysis object i in the previous treatment period, summing the waste weight values of the analysis object in the previous treatment period every day and averaging to obtain a waste weight representation value FBi, and summing the treatment coefficients of the analysis object in the previous treatment period every day and averaging to obtain a treatment representation value CBi; obtaining a digestion coefficient XYi of an analysis object by carrying out numerical calculation on the waste weight expression value FBi and the treatment expression value CBi; acquiring a linear distance value of an analysis object i and an intelligent factory and marking the linear distance value as ZLI, marking the ratio of a digestion coefficient XYi of the analysis object i to the linear distance value JZLI as a cooperative coefficient of the analysis object, marking L3 analysis objects with the largest cooperative coefficients as screening objects, marking the screening objects with the smallest linear distance values as cooperative objects of the intelligent factory, sending the cooperative objects to an organic processing platform, and sending the received cooperative objects to a mobile phone terminal of a manager by the organic processing platform;
the numerical value of the digestion coefficient XYi is calculated by the formula XYi = β 1 × fbi + β 2 × cbi; wherein, the beta 1 and the beta 2 are proportional coefficients, and the beta 1 is more than the beta 2 and more than 1.
5. The 5G intelligent factory based organic waste cooperative resource processing system according to claim 4, wherein the specific process of performing cooperative analysis on the organic waste resource processing of the intelligent factory further comprises: establishing a digestion set for the processing expression value of the analysis object, performing variance calculation on the digestion set to obtain a digestion expression value of the collaborative area, acquiring a digestion expression threshold value through a storage module, and comparing the digestion expression value with the digestion expression threshold value:
if the digestion performance value is larger than or equal to the digestion performance threshold value, judging that the organic waste treatment factory in the collaborative area is unqualified in resource treatment of the organic waste, sending a reinforced collaboration signal to the organic treatment platform by the collaborative analysis module, and sending the received reinforced collaboration signal to a mobile phone terminal of a manager by the organic treatment platform;
and if the digestion performance value is smaller than the digestion performance threshold value, judging that the organic waste treatment plant in the cooperative area is qualified for the resource treatment of the organic waste.
6. The 5G intelligent factory based organic waste cooperative resource processing system according to any one of claims 1 to 5, wherein the working method of the 5G intelligent factory based organic waste cooperative resource processing system comprises the following steps:
the method comprises the following steps: monitoring and analyzing organic waste treatment of an intelligent factory, obtaining a daily treatment coefficient of the intelligent factory by carrying out numerical calculation on energy data, useful data and useless data of the organic waste treated by the intelligent factory, and judging whether the daily waste treatment effect of the intelligent factory meets the requirement or not according to the numerical value of the treatment coefficient;
step two: carrying out planning analysis on organic waste treatment of an intelligent factory, monitoring the organic waste treatment every day in a treatment period, acquiring the treatment coefficients every day of the intelligent factory, sequencing the treatment coefficients, acquiring a good waste value and a bad waste value, obtaining a good waste range by carrying out numerical calculation on the good waste value and the bad waste value, and planning the waste weight value treated every day by the intelligent factory in the treatment period through the good waste range when the next treatment period starts;
step three: and carrying out cooperative analysis on the organic waste resource treatment of the intelligent factory to obtain a cooperative object of the intelligent factory, carrying out numerical calculation on the treatment performance value of the analysis object to obtain a digestion performance value, and judging whether the resource treatment of the organic waste in the organic waste treatment factory in the cooperative area is qualified or not according to the numerical value of the digestion performance value.
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CN112184527B (en) * 2020-09-29 2024-04-16 南京德仓生态技术有限公司 Regional waste multi-process cooperative resource harmless treatment big data management platform
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