A method and system for compatibility optimization of hazardous waste

Abstract

The application provides a compatibility optimization method and system for hazardous waste, and belongs to the technical field of garbage incineration treatment. The method comprises the following steps: locking hazardous waste in a target area, and dividing the hazardous waste according to different preset shapes; based on the division result, obtaining material information of the same type of hazardous waste, combining a material-parameter database to determine known parameters of the same type of hazardous waste, and then setting a plurality of first constraint conditions for the corresponding type of hazardous waste; determining a plurality of second constraint conditions between different types of hazardous waste according to the processing requirements of the target area for the hazardous waste; and determining the compatibility amount of the hazardous waste based on the plurality of first constraint conditions and the plurality of second constraint conditions, and performing compatibility. The method can solve the problem that artificial compatibility is largely dependent on the technical level of process engineers, consumes a long time, and cannot guarantee the relative stability of the incineration material properties and the stable operation of the rotary kiln.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of waste incineration treatment, in particular to a compatibility optimization method and system for hazardous waste. BACKGROUND

[0002] At present, hazardous waste comes from chemical industry, pharmaceutical industry, smelting industry, printing and dyeing industry and metallurgical industry, and has complex and changeable properties. With the rapid development of China's economy, the amount of hazardous waste is increasing rapidly. Among the current numerous hazardous waste disposal technologies, incineration disposal can effectively destroy toxic and harmful organic waste in waste, which is conducive to the final safe disposal of waste. The rotary kiln incineration is the most widely used and mature technology. In order to realize the safe and stable operation of rotary kiln incineration disposal, the compatibility process in the pretreatment of hazardous waste is extremely important. However, the compatibility process of hazardous waste incineration disposal plant currently basically depends on process engineers. Process engineers manually calculate the compatibility scheme according to the material quantity and composition of the temporary storage library, which is largely dependent on the technical level of process engineers, consumes a long time and cannot guarantee the relative stability of incineration material properties and the stable operation of rotary kiln.

[0003] Therefore, the present application provides a compatibility optimization method and system for hazardous waste. SUMMARY

[0004] The present application provides a compatibility optimization method and system for hazardous waste. The hazardous waste in the target area is locked, and the hazardous waste is divided according to different preset modes. The material information of the same type of hazardous waste is obtained, and the known parameters of the same type of hazardous waste are determined in combination with the material-parameter database. Then, a plurality of first constraint conditions are set for the corresponding type of hazardous waste ， According to the processing requirements of the target area for hazardous waste, a plurality of second constraint conditions between different types of hazardous waste are determined. Based on the plurality of first constraint conditions and the plurality of second constraint conditions, the compatibility amount of the hazardous waste is determined and compatibility is performed, which solves the problem that manual compatibility largely depends on the technical level of process engineers, consumes a long time and cannot guarantee the relative stability of incineration material properties and the stable operation of rotary kiln in the background art.

[0005] The present application provides a compatibility optimization method and system for hazardous waste. The method comprises:

[0006] Step 1: Locking the hazardous waste in the target area, and dividing the hazardous waste according to different preset modes;

[0007] Step 2: Based on the division result, the material information of the same type of hazardous waste is obtained, and the known parameters of the same type of hazardous waste are determined by combining the material-parameter database, and then a plurality of first constraint conditions are set for the corresponding type of hazardous waste;

[0008] Step 3: According to the processing demand of the target area to the hazardous waste, a plurality of second constraint conditions between different types of hazardous waste are determined;

[0009] Step 4: Based on the plurality of first constraint conditions and the plurality of second constraint conditions, the compatibility amount of the hazardous waste is determined and the compatibility is carried out.

[0010] Preferably, the hazardous waste of the target area is locked, and the hazardous waste is divided according to different preset morphologies, including:

[0011] According to the waste image in the target area, a plurality of first wastes in the target area are collected;

[0012] The production morphology information and production process information of each first waste are obtained, and the second waste with danger is screened from the first waste according to the production morphology information and production process information;

[0013] The morphology description parameters corresponding to each preset morphology are obtained;

[0014] The second waste is divided based on the morphology description parameters of different preset morphologies.

[0015] Preferably, the second waste with danger is screened from the first waste according to the production morphology information and production process information, including:

[0016] The morphology characteristic index of each first waste is extracted according to the production morphology information of each first waste, and the corrosion identification index of each first waste is determined according to the morphology characteristic index;

[0017] The use stage flow and the use environment information of each stage flow of each first waste are determined based on the production process information of each first waste;

[0018] The environment parameters of the use environment information of each stage flow of each first waste are obtained;

[0019] The danger index of each first waste is calculated according to the environment parameters of the use environment information of each stage flow of each first waste and the corrosion identification index of each first waste:

[0020]

[0021] Q = (1 + 2 + 3 + 4 + 5 + 6 + 7 + 8 + 9 + 10) / 10 iThe risk index of the i-th first waste is represented by a, and the first weight coefficient is represented by i The corrosion identification index of the i-th first waste is represented by β, and the second weight coefficient is represented by N i The number of use stage processes of the i-th first waste is represented by j, the f() represents a preset safety hazard identification function, and G j The environmental parameter of the j-th use process is represented by γ, and the third weight coefficient is represented by H i The pollution characteristic index value of the i-th first waste is represented by

[0022] The target first waste with a risk index greater than or equal to a preset reference index threshold is regarded as the second waste.

[0023] Preferably, after the hazardous waste is divided according to different preset forms, the method further comprises:

[0024] Collecting process information of hazardous waste recycling, transportation and storage, and statistically obtaining historical data of hazardous waste based on the process information;

[0025] According to the statistical historical data and the prediction algorithm, the yield and scale information of different types of hazardous waste are predicted;

[0026] According to the yield and scale information of different types of hazardous waste and the triggering conditions of each type of early warning event, the triggering probability of each type of early warning event for the type of hazardous waste is predicted;

[0027] Selecting a target early warning event with a triggering probability greater than or equal to a preset probability and associating it with different types of hazardous waste.

[0028] Preferably, according to the yield and scale information of different types of hazardous waste and the triggering conditions of each type of early warning event, the triggering probability of each type of early warning event for the type of hazardous waste is predicted, comprising:

[0029] According to the triggering conditions of each type of early warning event, the external triggering parameters and the waste self-triggering parameters of the type of early warning event are determined;

[0030] According to the external triggering parameters and the waste self-triggering parameters, target data features are extracted;

[0031] According to the yield, scale information and storage location information of different types of hazardous waste, current data features are extracted;

[0032] According to the current data features of different types of hazardous waste and the target data features of each type of early warning event, the triggering probability of each type of early warning event for the type of hazardous waste is predicted.

[0033] Preferably, based on the classification result, material information of the same type of hazardous waste is obtained, and known parameters of the same type of hazardous waste are determined in combination with a material-parameter database, and then a plurality of first constraint conditions are set for the corresponding type of hazardous waste, including:

[0034] Based on the classification result, the composition information of each type of hazardous waste is obtained, and the material information of the same type of hazardous waste is obtained according to the composition information;

[0035] Based on the material information of the same type of hazardous waste, and according to the material-parameter database, the recorded parameters of each type of hazardous waste are determined as known parameters;

[0036] The known parameters include: heat value, volatility, heavy metal content, combustibility and chemical reactivity;

[0037] Based on the known parameters of each type of hazardous waste, a plurality of first constraint conditions are set for the corresponding type of hazardous waste, including: a first heat value constraint condition, a first pollution emission constraint condition and a first compatibility constraint condition.

[0038] Preferably, according to the processing requirements of the target area for hazardous waste, a plurality of second constraint conditions between different types of hazardous waste are determined, including:

[0039] Based on the type, characteristics and processing requirements of the target area for hazardous waste, a plurality of second constraint conditions between two or more types of hazardous waste are determined, including: a second heat value constraint condition, a second pollution emission constraint condition and a second compatibility constraint condition;

[0040] The second compatibility constraint condition means that if two materials each contain one of two mutually incompatible substances, then the compatible amount of at least one of the two materials is 0.

[0041] Preferably, based on the plurality of first constraint conditions and the plurality of second constraint conditions, the compatible amount of the hazardous waste is determined and the hazardous waste is compounded, including:

[0042] Obtain state parameters and working parameters of the hazardous waste incineration system;

[0043] Determine the periodic maximum processing capacity of the hazardous waste incineration system for hazardous waste according to the state parameters and working parameters;

[0044] Based on the periodic maximum processing capacity of the hazardous waste incineration system for hazardous waste, the plurality of first constraint conditions and the plurality of second constraint conditions, the compatible amount of the hazardous waste is set;

[0045] According to the compatible amount of the hazardous waste, the hazardous waste is compounded.

[0046] Preferably, it also includes:

[0047] Obtain real-time operation data of the hazardous waste incineration system;

[0048] Perform aging analysis on the hazardous waste incineration system according to the real-time operation data, and determine the aging characteristics of the hazardous waste incineration system according to the analysis results;

[0049] Screen out steady-state data from the real-time operation data based on the aging characteristics;

[0050] Generate a waste incineration operation state model under the constraint condition of containing residual heat according to the steady-state data;

[0051] Obtain the standard value and the optimized value of the operation state parameter of the hazardous waste incineration system under standard working conditions through the waste incineration operation state model;

[0052] Determine the first high-temperature flue gas threshold value and the second high-temperature flue gas threshold value corresponding to the standard value and the optimized value of the operation state parameter of the hazardous waste incineration system under standard working conditions, respectively;

[0053] Calculate the ratio of the first high-temperature flue gas threshold value and the second high-temperature flue gas threshold value, and determine the high-temperature flue gas effect value of the hazardous waste incineration system according to the ratio;

[0054] Obtain the current working condition parameter of the hazardous waste incineration system, compare the current working condition parameter with the standard working condition parameter of the hazardous waste incineration system under standard working conditions, and obtain the comparison result;

[0055] Determine the expected high-temperature flue gas value of the hazardous waste incineration system under the current working condition according to the comparison result, and calculate the heat loss rate of the high-temperature flue gas according to the difference between the expected high-temperature flue gas value and the second high-temperature flue gas threshold value;

[0056] Determine the utilization efficiency of the hazardous waste incineration system to the high-temperature flue gas based on the high-temperature flue gas effect value and the heat loss rate, and generate an incineration optimization scheme according to the utilization efficiency;

[0057] Set the working parameters of the hazardous waste incineration system according to the incineration optimization scheme to efficiently utilize the high-temperature flue gas.

[0058] A compatibility optimization system for hazardous waste, comprising:

[0059] A division module: locking the hazardous waste in the target area, and dividing the hazardous waste according to different preset shapes;

[0060] The setting module: based on the division result, the material information of the same kind of hazardous waste is obtained, and the known parameters of the same kind of hazardous waste are determined by combining the material-parameter database, and then a plurality of first constraint conditions are set for the corresponding hazardous waste;

[0061] The first determining module: according to the processing demand of the target area to the hazardous waste, a plurality of second constraint conditions between different kinds of hazardous waste are determined;

[0062] The second determining module: based on the plurality of first constraint conditions and the plurality of second constraint conditions, the compatibility of the hazardous waste is determined and matched.

[0063] Other features and advantages of the present application will be set forth in the following description, and in part will become apparent to those skilled in the art from the description, or can be learned by practice of the present application. The objects and other advantages of the present application can be achieved and obtained by the structure particularly pointed out in the written description, claims, and drawings.

[0064] The technical solutions of the present application will be further described in detail below by means of the drawings and examples. BRIEF DESCRIPTION OF DRAWINGS

[0065] The accompanying drawings are used to provide a further understanding of the present application, and constitute a part of the specification, together with the embodiments of the present application, used to explain the present application, and do not constitute a limitation on the present application. In the drawings:

[0066] Figure 1 A flow chart of a hazardous waste compatibility optimization method in an embodiment of the present application;

[0067] Figure 2 A structural diagram of a hazardous waste compatibility optimization system in an embodiment of the present application. DETAILED DESCRIPTION

[0068] The preferred embodiments of the present application will be described below in conjunction with the drawings, and it should be understood that the preferred embodiments described herein are only used to illustrate and explain the present application, and do not limit the present application.

[0069] Example 1:

[0070] The present application provides a hazardous waste compatibility optimization method, as shown in Figure 1 The method comprises:

[0071] Step 1: lock the hazardous waste of the target area, and divide the hazardous waste according to different preset morphologies;

[0072] Step 2: based on the division result, obtain the material information of the same type of hazardous waste, and determine the known parameters of the same type of hazardous waste by combining the material-parameter database, and then set a plurality of first constraint conditions for the corresponding type of hazardous waste;

[0073] Step 3: according to the processing demand of the target area for the hazardous waste, a plurality of second constraint conditions between different types of hazardous waste are determined;

[0074] Step 4: based on the plurality of first constraint conditions and the plurality of second constraint conditions, the compatibility amount of the hazardous waste is determined and the compatibility is performed.

[0075] In this embodiment, the hazardous waste includes toxic waste, radioactive waste, organic peroxide, flammable liquid, compressed gas and toxic gas, corrosive waste, medical waste.

[0076] In this embodiment, the different preset forms include powder, solid, liquid, and paste.

[0077] In this embodiment, the material information includes the type and composition of the hazardous waste, such as waste batteries, the type includes alkaline zinc-manganese batteries, secondary dry batteries, and lithium batteries, and the composition contains lead, acid, plastic, fiber, rubber, and trace amounts of mercury.

[0078] In this embodiment, the material-parameter database is a database that records a large number of parameters of hazardous waste.

[0079] In this embodiment, the known parameters include the calorific value, volatility, heavy metal content, flammability, and chemical reactivity of the hazardous waste.

[0080] In this embodiment, the constraint conditions include a calorific value constraint condition, a pollution emission constraint condition, and a compatibility constraint condition. If two types of hazardous waste are burned at the same time, harmful substances or gases will be produced, and the compatibility cannot be performed.

[0081] In this embodiment, the processing demand refers to the container during incineration, the container for storing hazardous waste, and the packaging material for hazardous waste.

[0082] The beneficial effects of the above technical solution are: by setting the first constraint condition for the hazardous waste by obtaining the known parameters of the hazardous waste, setting the first constraint condition for the hazardous waste according to the processing demand of the target area, and performing the compatibility of the hazardous waste according to the first constraint condition and the second constraint condition, the compatibility efficiency can be improved, and the relative stability of the incinerated material during incineration and the normal operation of the incinerator can be ensured.

[0083] Embodiment 2:

[0084] The application provides a compatibility optimization method for hazardous waste, locks hazardous waste in a target area, and divides the hazardous waste according to different preset forms, comprising:

[0085] According to the waste image in the target area, a plurality of first wastes in the target area are collected;

[0086] Production form information and production process information of each first waste are acquired, and second hazardous wastes are screened from the first wastes according to the production form information and the production process information;

[0087] Form description parameters corresponding to each preset form are acquired;

[0088] The second hazardous wastes are divided according to the form description parameters of different preset forms.

[0089] In this embodiment, the target area can be a certain hospital.

[0090] In this embodiment, the waste image refers to an image containing a plurality of wastes.

[0091] In this embodiment, the first waste refers to a waste that belongs to the waste but does not belong to the hazardous waste.

[0092] In this embodiment, the production form information refers to the characteristics of the waste itself, such as liquid, odor, etc.

[0093] In this embodiment, the production process information refers to how the waste is generated, such as waste generated during transportation.

[0094] In daily life, toxic and harmful wastes generated by industrial products, such as cadmium-nickel batteries and waste engine oil, are hazardous wastes.

[0095] In this embodiment, the form description parameter refers to, for example, liquid, and the liquid form description parameter includes flowability, temperature, and deformation parameter.

[0096] If it is solid, the solid form description parameter includes volume, shape size, and hardness.

[0097] The above technical solution has the beneficial effects that: by screening the hazardous wastes from the wastes in the target area, the hazardous wastes are divided according to the preset form description parameters, the position of the hazardous wastes can be quickly determined for processing, and the hazardous wastes are divided into different forms, so that the parameter information of the hazardous wastes can be easily acquired.

[0098] Embodiment 3:

[0099] The application provides a compatibility optimization method for hazardous waste, which screens second waste with danger from first waste according to production form information and production process information, and comprises the following steps of:

[0100] According to the production form information of each first waste, form characteristic indexes of the first waste are extracted, and corrosion identification indexes of each first waste are determined according to the form characteristic indexes.

[0101] Based on the production process information of each first waste, use stage processes of the first waste and use environment information of each stage process are determined.

[0102] Environment parameters of the use environment information of each stage process in the use stage process of each first waste are acquired.

[0103] According to the environment parameters of the use environment information of each stage process in the use stage process of each first waste and the corrosion identification indexes of the first waste, danger indexes of each first waste are calculated.

[0104]

[0105] Wherein, Q i represents the danger index of the i-th first waste, a represents a first weight coefficient, S i represents the corrosion identification index of the i-th first waste, β represents a second weight coefficient, N i represents the number of use stage processes of the i-th first waste, j represents the j-th use process, f() represents a preset safety hazard identification function, G j represents the environment parameter of the j-th use process, γ represents a third weight coefficient, H i represents a pollution characteristic index value of the i-th first waste.

[0106] The target first waste with a danger index greater than or equal to a preset reference index threshold value is taken as the second waste.

[0107] In this embodiment, the form characteristic index refers to appearance change, strength loss and corrosion speed of the waste.

[0108] In this embodiment, the corrosion identification index is acquired according to the form characteristic index, and appearance change, corrosion speed and corrosion index of the waste are higher.

[0109] In this embodiment, the environment parameter refers to environmental humidity, temperature and air flow rate.

[0110] In this embodiment, the hazardous index is calculated according to the environmental parameters of the use environment of the waste and the corrosive identification index, and the greater the index, the higher the risk of the waste.

[0111] The preset reference index threshold is 1.

[0112] The beneficial effects of the above technical solution are: the hazardous index of each first waste is calculated according to the environmental parameters of the use environment information of the first waste and the corrosive identification index, and the hazardous index greater than or equal to the preset reference index threshold is regarded as the second waste, so that the risk of each waste can be accurately judged, and the management and classification are facilitated.

[0113] Embodiment 4:

[0114] The application provides a compatibility optimization method for hazardous waste, which further comprises the following steps after the hazardous waste is divided according to different preset modes:

[0115] Collecting process information of the hazardous waste in the recycling, transportation and storage processes, and statistically obtaining historical data of the hazardous waste based on the process information;

[0116] According to the statistical historical data and a prediction algorithm, the yield and scale information of different types of hazardous waste are predicted;

[0117] According to the yield and scale information of different types of hazardous waste and the triggering conditions of various early warning events, the triggering probability of the types of hazardous waste for the various early warning events is predicted;

[0118] Selecting a target early warning event with a triggering probability greater than or equal to a preset probability and associating the target early warning event with different types of hazardous waste.

[0119] In this embodiment, the historical data includes: recycling amount, recycling type, transportation method, transportation weight, and storage method.

[0120] The transportation method includes land transportation and water transportation, and if some waste can produce harmful substances to water quality, water transportation cannot be selected.

[0121] The storage method includes container storage or direct exposure to air.

[0122] In this embodiment, the scale information refers to the amount of waste that can be generated according to the waste before use.

[0123] In this embodiment, the various early warnings include: environmental control early warning, timeout early warning, and damage early warning.

[0124] In this embodiment, if the timeout early warning is selected, the triggering condition is that if the storage time of the hazardous waste in the warehouse exceeds the preset time, an early warning will be issued.

[0125] The beneficial effects of the above technical solution are: by statistically analyzing the historical data of hazardous waste, the yield and scale information of different types of hazardous waste are predicted, the triggering conditions of various early warning events are combined, and the triggering probability of various types of hazardous waste for various early warning events is predicted, so that the occurrence of early warning events can be effectively determined, and dangerous situations can be avoided.

[0126] Embodiment 5:

[0127] The application provides a compatibility optimization method for hazardous waste, according to the yield and scale information of different types of hazardous waste and the triggering conditions of various early warning events, the triggering probability of various types of hazardous waste for various early warning events is predicted, which comprises:

[0128] According to the triggering conditions of each type of early warning event, the external triggering parameters and the waste self-triggering parameters of the early warning event are determined;

[0129] According to the external triggering parameters and the waste self-triggering parameters, the target data features are extracted;

[0130] According to the yield, scale information and storage location information of different types of hazardous waste, the current data features are extracted;

[0131] According to the current data features of different types of hazardous waste and the target data features of each type of early warning event, the triggering probability of various types of hazardous waste for various early warning events is predicted.

[0132] In this embodiment, the external triggering parameters are, for example, temperature exceeding a preset value, air volume exceeding a preset value.

[0133] In this embodiment, the waste self-triggering parameters are, for example, excessive volume.

[0134] In this embodiment, the target data features are the data features that need to be reached according to the external triggering parameters and the waste self-triggering parameters, such as the temperature range and the volume range of the waste itself.

[0135] In this embodiment, the triggering probability is, for example, the current environment temperature of the waste is 20 degrees, and the target environment temperature is 15 degrees, so the triggering probability of the environmental control early warning is (20-15) ÷ 15 = 33.3%, and the higher the temperature, the higher the triggering probability of the early warning event.

[0136] In this embodiment, the current data features refer to the current data types of the hazardous waste, such as the weight value representing the hazardous waste and the acidity and alkalinity representing the hazardous waste.

[0137] The accuracy of the data, such as the corrosion degree of the hazardous waste, needs to be accurate to two decimal places.

[0138] The beneficial effects of the above technical solutions are: by determining the external triggering parameter and the waste self-triggering parameter of each type of early warning event to extract target data features, and according to the yield, scale information and storage location information of different types of hazardous waste to extract current data features, the triggering probability of each type of waste for each type of early warning event can be accurately obtained, so that artificial control can be performed to avoid the occurrence of these triggering conditions.

[0139] Embodiment 6:

[0140] The application provides a compatibility optimization method for hazardous waste, based on the division result, the material information of the same type of hazardous waste is obtained, and the known parameters of the same type of hazardous waste are determined by combining the material-parameter database, and then a plurality of first constraint conditions are set for the corresponding type of hazardous waste, including:

[0141] Based on the division result, the component information of each type of hazardous waste is obtained, and the material information of the same type of hazardous waste is obtained according to the component information;

[0142] Based on the material information of the same type of hazardous waste, and according to the material-parameter database, the recorded parameters of each type of hazardous waste are determined as known parameters;

[0143] Among them, the known parameters include: heat value, volatility, heavy metal content, combustibility and chemical reactivity;

[0144] Based on the known parameters of each type of hazardous waste, a plurality of first constraint conditions are set for the corresponding type of hazardous waste, including: a first heat value constraint condition, a first pollution emission constraint condition and a first compatibility constraint condition.

[0145] In this embodiment, the component information refers to the components contained in the hazardous waste.

[0146] In this embodiment, the material information includes the type and components of the hazardous waste, such as waste batteries, including: alkaline zinc-manganese batteries, secondary dry batteries, lithium batteries, and components containing: lead, acid, plastic, fiber, rubber, and trace amounts of mercury.

[0147] In this embodiment, the material-parameter database is a database that records a large number of parameters of hazardous waste.

[0148] In this embodiment, the known parameters include: heat value, volatility, heavy metal content, combustibility and chemical reactivity of the hazardous waste.

[0149] In this embodiment, the first heat value constraint condition refers to the temperature that the temperature of the type of hazardous waste cannot exceed when incinerated, such as 60 degrees.

[0150] In this embodiment, the first pollution emission constraint condition refers to a value that cannot be exceeded by the pollutants generated after incineration of the kind of hazardous waste, such as 100 kg.

[0151] In this embodiment, the first compatibility constraint condition refers to that the kind of hazardous waste cannot be burned together with a certain substance, for example, if the A kind of hazardous waste contains an oxidizing agent, then it cannot be matched with the B kind of hazardous waste containing a reducing agent.

[0152] The beneficial effects of the above technical solutions are: by obtaining the material information of the hazardous waste, and determining the recorded parameters of each kind of hazardous waste as known parameters according to the material-parameter database, and setting multiple first constraint conditions for the corresponding kind of hazardous waste, the constraint conditions of each kind of waste can be determined, which facilitates the later matching and speeds up the matching speed.

[0153] Embodiment 7:

[0154] The application provides a kind of for the matching optimization method of hazardous waste, according to the processing demand of target area to hazardous waste, determine multiple second constraint conditions between different kinds of hazardous waste, including:

[0155] Based on the kind, characteristic and processing demand of target area to hazardous waste of hazardous waste, determine multiple second constraint conditions between two or more than two kinds of hazardous waste, including: second heat value constraint condition, second pollution emission constraint condition and second compatibility constraint condition;

[0156] Wherein, second compatibility constraint condition refers to if two materials respectively contain one of two incompatible substances, then the matching amount of at least one of the two materials is 0.

[0157] In this embodiment, the kind includes: toxic waste, radioactive waste, organic peroxide, flammable liquid, compressed gas, toxic gas, easily corrosive waste, medical waste.

[0158] In this embodiment, the characteristic refers to the characteristic possessed by the hazardous waste, such as being toxic, flammable and explosive, and being able to emit harmful substances.

[0159] In this embodiment, the processing demand refers to that the hazardous waste should be high-temperature incineration, low-temperature incineration or only incineration of how much weight per day.

[0160] In this embodiment, the second constraint condition includes: heat value constraint condition, pollution emission constraint condition and compatibility constraint condition.

[0161] Wherein, the heat value constraint condition refers to that the heat value of the material obtained by the final matching is within a certain range of the preset fuel heat value.

[0162] Pollution emission constraints refer to, for example, the generation of harmful ammonia gas from medical waste. Therefore, the weight of each batch of medical waste must be controlled to not exceed a certain limit, such as 0.5 tons.

[0163] Compatibility constraints refer to the requirement that if two materials each contain one of two incompatible substances, then at least one of the two materials must have a compatibility quantity of 0. Examples include: halogenated hydrocarbon waste and ammonia, halogenated hydrocarbon waste and cyanide-containing waste, halogenated hydrocarbon waste and nitrite-containing waste, and oxidants and reducing agents.

[0164] The beneficial effects of the above technical solution are: by obtaining multiple second constraints between two or more wastes, the relationship between multiple wastes during the compatibility process can be determined, avoiding unreasonable compatibility due to the relationship between multiple wastes, and greatly saving compatibility time.

[0165] Example 8:

[0166] This invention provides a method for compatibility optimization of hazardous waste, which determines the compatibility amount of the hazardous waste and performs compatibility based on multiple first constraints and multiple second constraints, including:

[0167] Obtain the status and operating parameters of the hazardous waste incineration system;

[0168] The maximum cyclic processing capacity of the hazardous waste incineration system for hazardous waste is determined based on the state parameters and operating parameters.

[0169] The amount of hazardous waste to be mixed is set based on the maximum cycle processing capacity of the hazardous waste incineration system, multiple first constraints, and multiple second constraints.

[0170] Hazardous waste matching is carried out based on the matching quantity of hazardous waste.

[0171] In this embodiment, the state parameters refer to the parameters of the incineration system under different working states, such as the air volume for purging the system and the temperature for forced cooling when combustion is stopped.

[0172] In this embodiment, the operating parameters refer to the operating parameters of the incineration system under normal operating conditions, such as pressure, temperature, voltage, and current.

[0173] In this embodiment, the maximum processing capacity per cycle refers to the maximum weight of waste that can be incinerated within one cycle. For example, if one day is one cycle, a maximum of 50 tons of waste can be incinerated per day.

[0174] The beneficial effects of the above technical solutions are: by obtaining the periodic maximum processing capacity of the hazardous waste incineration system, and combining the multiple first constraint conditions and the multiple second constraint conditions to match the hazardous waste, the matching amount of the hazardous waste can be quickly determined, and it is ensured that the incineration system will not have abnormal conditions due to excessive incineration amount during the incineration process.

[0175] Embodiment 9:

[0176] The application provides a matching optimization method for hazardous waste, which further comprises:

[0177] Obtaining real-time operation data of the hazardous waste incineration system;

[0178] Performing aging analysis on the hazardous waste incineration system according to the real-time operation data, and determining the aging characteristics of the hazardous waste incineration system according to the analysis result;

[0179] Screening stable state data from the real-time operation data based on the aging characteristics;

[0180] Generating a waste incineration operation state model under the constraint condition of containing residual heat according to the stable state data;

[0181] Obtaining standard values and optimized values of the operation state parameters of the hazardous waste incineration system under standard working conditions through the waste incineration operation state model;

[0182] Determine the first high-temperature flue gas threshold value and the second high-temperature flue gas threshold value corresponding to the standard value and the optimized value of the operation state parameters of the hazardous waste incineration system under standard working conditions, respectively;

[0183] Calculate the ratio of the first high-temperature flue gas threshold value and the second high-temperature flue gas threshold value, and determine the high-temperature flue gas effect value of the hazardous waste incineration system according to the ratio;

[0184] Obtaining the current working condition parameters of the hazardous waste incineration system, comparing the current working condition parameters with the standard working condition parameters of the hazardous waste incineration system under standard working conditions, and obtaining the comparison result;

[0185] Determine the expected high-temperature flue gas value of the hazardous waste incineration system under the current working condition according to the comparison result, and calculate the heat loss rate of the high-temperature flue gas according to the difference between the expected high-temperature flue gas value and the second high-temperature flue gas threshold value;

[0186] Determine the utilization efficiency of the hazardous waste incineration system to the high-temperature flue gas based on the high-temperature flue gas effect value and the heat loss rate, and generate an incineration optimization scheme according to the utilization efficiency;

[0187] Set the working parameters of the hazardous waste incineration system according to the incineration optimization scheme to efficiently utilize the high-temperature flue gas.

[0188] In this embodiment, the real-time operation data is represented as the operation parameter data and the high-temperature flue gas yield data of the hazardous waste incineration system.

[0189] In this embodiment, the time-effect analysis is represented as the time point efficiency analysis of the high-temperature flue gas yield of the hazardous waste incineration system, such as 60 tons generated from 9:00 to 9:15, and the efficiency is 60÷15=4 tons / min.

[0190] In this embodiment, the time-effect feature is the incineration proportion feature in a fixed time.

[0191] In this embodiment, the waste heat constraint condition is a state constraint condition for the absorption and utilization of waste heat, that is, only the waste heat exceeding the preset temperature can be used.

[0192] In this embodiment, the first high-temperature flue gas threshold value is the threshold value of the flue gas composed of multiple gases and having a high temperature generated under the standard value of the standard working condition, which can be 150 degrees.

[0193] In this embodiment, the second high-temperature flue gas threshold value is the threshold value of the flue gas composed of multiple gases and having a high temperature generated under the optimized value of the standard working condition, which can be 200 degrees.

[0194] In this embodiment, the standard working condition of the hazardous waste incineration system is the working condition of the system setting the working parameters.

[0195] In this embodiment, the incineration optimization scheme is an optimization scheme for compatible incineration of the same batch of waste, such as incomplete combustion, which requires to increase the temperature.

[0196] In this embodiment, the steady-state data is represented as the data that can ensure the stable yield of the high-temperature flue gas in the real-time operation data of the hazardous waste incineration system.

[0197] In this embodiment, the running state model of the hazardous waste incineration system is represented as the running state model of the hazardous waste incineration system when generating the high-temperature flue gas.

[0198] In this embodiment, the standard value and the optimized value of the running state parameter are represented as the basic running state parameter related to the high-temperature flue gas generation and the optimal running state parameter related to the high-temperature flue gas generation of the hazardous waste incineration system under the standard working condition.

[0199] In this embodiment, the high-temperature flue gas effect value is represented as the maximum high-temperature flue gas threshold value that the hazardous waste incineration system can withstand under the high-temperature flue gas generation effect.

[0200] In this embodiment, the heat loss rate is represented as the natural heat loss rate of the high-temperature flue gas in the transmission process: (expected high-temperature flue gas value-second high-temperature flue gas threshold value) / expected high-temperature flue gas value.

[0201] The beneficial effects of the above technical solution are: through the steady-state data screening of the real-time operation data of the hazardous waste incineration system, the accuracy of the data can be ensured, the conditions for subsequent model construction are laid, and the practicability is improved. Further, by determining the high-temperature flue gas effect value of the hazardous waste incineration system, the corresponding high-temperature flue gas value of the hazardous waste incineration system under the best waste heat recovery state can be determined, which lays a foundation for subsequent incineration optimization scheme generation.

[0202] Embodiment 10:

[0203] A compatible optimization system for hazardous waste, as shown in Figure 2 , comprising:

[0204] The division module: lock the target area of hazardous waste, and divide the hazardous waste according to different preset shapes;

[0205] The setting module: based on the division result, obtaining the material information of the same kind of hazardous waste, and combining the material-parameter database, determining the known parameters of the same kind of hazardous waste, and then setting multiple first constraint conditions for the corresponding hazardous waste;

[0206] The first determination module: according to the processing demand of the target area to the hazardous waste, determine multiple second constraint conditions between different kinds of hazardous waste;

[0207] The second determination module: based on the multiple first constraint conditions and the multiple second constraint conditions, determine the compatible amount of the hazardous waste and perform compatibility.

[0208] The beneficial effects of the above technical solution are: by setting the first constraint condition for the hazardous waste by obtaining the known parameters of the hazardous waste, setting the first constraint condition for the hazardous waste according to the processing demand of the target area, and performing compatibility for the hazardous waste according to the first constraint condition and the second constraint condition, the compatibility efficiency can be improved, and the relative stability of the incinerated material during incineration and the normal operation of the incinerator can be ensured.

[0209] Obviously, those skilled in the art can make various modifications and variations to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application also intends to include these modifications and variations.

Claims

1. A method for compatibility optimization of hazardous waste, characterized in that, The method includes: Step 1: Locate the hazardous waste in the target area and classify the hazardous waste according to different preset forms; Step 2: Based on the classification results, obtain the material information of similar hazardous wastes, and combine it with the material-parameter database to determine the known parameters of similar hazardous wastes, and then set multiple first constraints for the corresponding hazardous wastes; Step 3: Based on the target area's needs for hazardous waste treatment, determine multiple secondary constraints between different types of hazardous waste; Step 4: Based on multiple first constraints and multiple second constraints, determine the compatibility quantity of the hazardous waste and perform compatibility testing.

2. The compatibility optimization method for hazardous waste according to claim 1, characterized in that, Identify hazardous waste in the target area and classify the hazardous waste according to different preset forms, including: Based on images of waste within the target area, identify and collect various primary wastes within the target area; Obtain production form information and production process information for each type of first waste, and screen out hazardous second waste from the first waste based on the production form information and production process information; Obtain the shape description parameters corresponding to each preset shape; The second waste is divided based on morphological description parameters of different preset forms.

3. The compatibility optimization method for hazardous waste according to claim 2, characterized in that, Based on the production form information and production process information, hazardous second waste is selected from the first waste, including: Based on the production form information of each type of first waste, the morphological characteristic index of the first waste is extracted, and the corrosivity identification index of each type of first waste is determined based on the morphological characteristic index. Based on the production process information of each type of first waste, determine the usage stage process of that type of first waste and the usage environment information of each stage process; Environmental parameters for obtaining environmental information on the usage environment of each stage of the usage process for each type of first waste; The hazard index of each type of first waste is calculated based on the environmental parameters of the usage environment information of each stage of the usage process and the corrosivity identification index of that type of first waste: wherein Q i represents a risk index of the i-th first waste, a represents a first weight coefficient, S i represents a corrosion identification index of the i-th first waste, β represents a second weight coefficient, N i represents a number of use stage processes of the i-th first waste, j represents a j-th use process, f() represents a preset safety hazard identification function, G j represents an environmental parameter of the j-th use process, γ represents a third weight coefficient, H i represents a pollution characteristic index value of the i-th first waste; The first type of waste with a hazard index greater than or equal to a preset reference index threshold is designated as the second type of waste.

4. The compatibility optimization method for hazardous waste according to claim 1, characterized in that, After classifying the hazardous waste according to different preset forms, it also includes: Collect process information on the recycling, transportation, and storage of hazardous waste, and compile historical data on hazardous waste based on the process information; Based on historical statistical data and predictive algorithms, the production and scale information of different types of hazardous waste are predicted. Based on the production and scale information of different types of hazardous waste and the triggering conditions of various early warning events, the probability of triggering various early warning events for each type of hazardous waste is predicted. Select target warning events with a trigger probability greater than or equal to a preset probability and associate them with different types of hazardous waste.

5. The compatibility optimization method for hazardous waste according to claim 3, characterized in that, Based on the production and scale information of different types of hazardous waste and the triggering conditions of various early warning events, the probability of triggering various early warning events for each type of hazardous waste is predicted, including: The external triggering parameters and the waste's own triggering parameters for each type of early warning event are determined based on the triggering conditions for that type of early warning event. Extract target data features based on the external triggering parameters and the waste's own triggering parameters; Extract current data features based on the production, scale, and storage location information of different types of hazardous waste; Based on the current data characteristics of different types of hazardous waste and the target data characteristics of each type of early warning event, the probability of triggering various early warning events for each type of hazardous waste is predicted.

6. The compatibility optimization method for hazardous waste according to claim 1, characterized in that, Based on the classification results, material information of similar hazardous wastes is obtained, and combined with the material-parameter database, known parameters of similar hazardous wastes are determined. Then, multiple first constraints are set for the corresponding hazardous wastes, including: Based on the classification results, obtain the composition information of each type of hazardous waste, and obtain the material information of the same type of hazardous waste based on the composition information; Based on the material information of the same type of hazardous waste, and according to the material-parameter database, the recorded parameters of each type of hazardous waste are determined as known parameters; The known parameters include: calorific value, volatility, heavy metal content, flammability, and chemical reactivity. Based on the known parameters of each type of hazardous waste, multiple first constraints are set for the corresponding type of hazardous waste, including: first calorific value constraint, first pollution emission constraint, and first compatibility constraint.

7. The compatibility optimization method for hazardous waste according to claim 5, characterized in that, Based on the target area's needs for hazardous waste treatment, several secondary constraints are determined between different types of hazardous waste, including: Based on the type and characteristics of hazardous waste and the treatment needs of the target area, multiple second constraints are determined between two or more types of hazardous waste, including: second calorific value constraints, second pollution emission constraints, and second compatibility constraints. The second compatibility constraint means that if two materials each contain one of two incompatible substances, then the amount of at least one of the two materials must be 0.

8. The compatibility optimization method for hazardous waste according to claim 1, characterized in that, Based on multiple first constraints and multiple second constraints, the compatibility quantity of the hazardous waste is determined and compatibility is performed, including: Obtain the status and operating parameters of the hazardous waste incineration system; The maximum cyclic processing capacity of the hazardous waste incineration system for hazardous waste is determined based on the state parameters and operating parameters. The amount of hazardous waste to be mixed is set based on the maximum cycle processing capacity of the hazardous waste incineration system, multiple first constraints, and multiple second constraints. Hazardous waste matching is carried out based on the matching quantity of hazardous waste.

9. The compatibility optimization method for hazardous waste according to claim 1, characterized in that, Also includes: Obtain real-time operational data from hazardous waste incineration systems; The timeliness analysis of the hazardous waste incineration system is performed based on the real-time operation data, and the timeliness characteristics of the hazardous waste incineration system are determined based on the analysis results. Steady-state data in real-time operational data is selected based on timeliness characteristics; A waste incineration operation status model with residual heat constraints is generated based on the steady-state data. The standard and optimized values ​​of the operating status parameters of the hazardous waste incineration system under standard operating conditions are obtained through the waste incineration operation status model. Determine the first and second high-temperature flue gas thresholds corresponding to the standard and optimized values ​​of the operating status parameters of the hazardous waste incineration system under standard operating conditions, respectively; Calculate the ratio of the first high-temperature flue gas threshold to the second high-temperature flue gas threshold, and determine the high-temperature flue gas effect value of the hazardous waste incineration system based on the ratio; Obtain the current operating parameters of the hazardous waste incineration system, compare the current operating parameters with the standard operating parameters of the hazardous waste incineration system under standard operating conditions, and obtain the comparison results; Based on the comparison results, the expected high-temperature flue gas value of the hazardous waste incineration system under the current operating conditions is determined, and the heat loss rate of the high-temperature flue gas is calculated based on the difference between the expected high-temperature flue gas value and the second high-temperature flue gas threshold. The utilization efficiency of the hazardous waste incineration system for high-temperature flue gas is determined based on the high-temperature flue gas effect value and the heat loss rate, and an incineration optimization scheme is generated based on the utilization efficiency. The operating parameters of the hazardous waste incineration system are set according to the incineration optimization scheme to make efficient use of high-temperature flue gas.

10. A compatibility optimization system for hazardous waste, comprising: Segmentation module: Identifies hazardous waste in the target area and segments the hazardous waste according to different preset forms; Setting module: Based on the division results, obtain the material information of similar hazardous wastes, and combine it with the material-parameter database to determine the known parameters of similar hazardous wastes, and then set multiple first constraints for the corresponding type of hazardous wastes; The first determination module: Based on the target area's demand for hazardous waste treatment, determine multiple second constraints between different types of hazardous waste; The second determining module determines the amount of hazardous waste to be mixed based on multiple first constraints and multiple second constraints.

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