Control Method, Device, Electronic Equipment and Storage Medium of Oxygen Supply System for Incinerator

Abstract

The present invention provides a control method, device, electronic device and storage medium for an oxygen supply system of an incinerator. The method includes: based on the shuffled frog leaping algorithm, determining the optimal frog population fitness value for each experiment under constraint conditions according to the algorithm parameters of the shuffled frog leaping algorithm, the basic data in the incinerator database and the cached data generated during incineration operations; determining the average value of the frog population fitness values according to the optimal frog population fitness value for each experiment; determining the valve opening degree scheme of the oxygen supply system according to the average value of the frog population fitness values, and controlling the oxygen supply system of the incinerator according to the valve opening degree scheme; wherein, the control parameters of the valve opening degree scheme of the oxygen supply system include the opening degree of the oxygen inlet valve, the opening degree of the outlet valve, the oxygen inlet duration and the outlet duration. Through the above method, the present invention obtains an optimized valve opening degree control scheme, which can directly control the oxygen supply system through an algorithm model, and avoid the phenomenon that the optimal control scheme cannot be obtained due to local optimality, with better integrity.

Description

Technical Field

[0001] The present invention relates to the technical field of incinerators, and particularly to a control method, device, electronic equipment and storage medium for an oxygen supply system of an incinerator. Background Art

[0002] An incinerator is an environmental protection device that incinerates waste gas, waste liquid, solid waste fuels, medical waste, domestic waste, animal carcasses, etc. at high temperatures to reduce or shrink the quantity, and at the same time utilizes the heat energy of part of the incineration medium.

[0003] The oxygen supply system is an important part of the combustion system of the incinerator, and is used to control the oxygen content in the incinerator. The oxygen content in the furnace is closely related to the ignition, combustion and burnout of the waste in the incinerator, and affects the output of the waste heat boiler and the emission of pollutants.

[0004] The control of the oxygen supply system can be carried out through manual operation: the operator sets parameters according to the actual situation and adjusts them in time during the combustion process of the incinerator; manual operation depends on the experience of the operator and is prone to deviation. The control of the oxygen supply system can also be carried out through an algorithm model control. However, the current algorithm model is prone to falling into a local optimum, resulting in the phenomenon that the optimal control scheme cannot be obtained, and the integrity is worse, and a satisfactory control scheme cannot be obtained. Summary of the Invention

[0005] The present invention provides a control method, device, electronic equipment and storage medium for an oxygen supply system of an incinerator, so as to solve the defects that the oxygen supply system is prone to deviation and poor integrity in the prior art, and realize the valve control of the oxygen supply system with global optimum.

[0006] The present invention provides a control method for an oxygen supply system of an incinerator, including: based on the shuffled frog leaping algorithm, determining the best frog population fitness value for each experiment under the constraint conditions according to the algorithm parameters of the shuffled frog leaping algorithm, the basic data in the incinerator database and the cache data generated during the incineration operation; determining the average value of the frog population fitness values according to the best frog population fitness value of each experiment; determining the valve opening degree scheme of the oxygen supply system according to the average value of the frog population fitness values, and controlling the oxygen supply system of the incinerator according to the valve opening degree scheme; wherein, the control parameters of the valve opening degree scheme of the oxygen supply system include the opening degree of the oxygen inlet valve, the opening degree of the outlet valve, the oxygen inlet duration and the outlet duration.

[0007] A control method for the oxygen supply system of an incinerator provided by the present invention, the constraint conditions include: the cumulative oxygen intake time of the furnace is less than the incineration constant temperature holding time of the furnace; the difference between the oxygen intake of the furnace and the gas output of the furnace is greater than or equal to the oxygen content requirement in the furnace; the duration coefficient is greater than or equal to the incineration constant temperature holding time, where the duration coefficient is related to the oxygen intake duration, the gas output duration, the first constant temperature holding time, and the second constant temperature holding time; the negative pressure in the furnace during the incineration process is equal to or less than the standard furnace pressure; the heating energy consumption of the incinerator is less than or equal to the expected energy consumption, where the heating energy consumption of the incinerator is related to the gas output duration, the oxygen intake duration, the first linear relationship coefficient, and the second linear relationship coefficient.

[0008] A control method for the oxygen supply system of an incinerator provided by the present invention, the constraint conditions include:

[0009] Sigma(T_i)<T_MAX; where T_i is the oxygen intake time of the furnace at a certain time; T_MAX is the incineration constant temperature holding time of the furnace;

[0010] (OOV_in*k_in*T_in–OAV_out*k_out*T_out)*k_o>=O_c; where OOV_in*k_in represents the oxygen intake speed of the furnace; OAV_out*k_out represents the gas output speed of the furnace; OOV_in is the opening degree of the oxygen intake valve; OAV_out is the opening degree of the gas output valve; T_in is the oxygen intake duration; T_out is the gas output duration; k_o, k_out, k_in are proportionality coefficients; O_c is the oxygen content requirement in the furnace;

[0011] T_m=(T_out–T_in)*x_m+y_m>=T_MAX; where T_m represents the duration coefficient; x_m is the first constant temperature holding time; y_m is the second constant temperature holding time;

[0012] (OAV_out*k_out*T_out-OOV_out*k_in*T_in)*k_p<=P_MAX; where k_p is the air pressure conversion coefficient; P_MAX is the standard furnace pressure;

[0013] EP_MAX>=(T_out–T_in)*x_e+y_e; where EP_MAX is the expected energy consumption, x_e is the first linear relationship coefficient; y_e is the second linear relationship coefficient.

[0014] A control method for the oxygen supply system of an incinerator according to the present invention determines the optimal frog group fitness value for each experiment under constraint conditions, including: in one experiment, through the shuffled frog leaping algorithm, the optimal frog group fitness value that meets the constraint conditions is obtained after multiple iterations; wherein, the frog group fitness value is related to the heating energy consumption, the furnace inlet oxygen amount, and the furnace outlet gas amount of the incinerator.

[0015] A control method for the oxygen supply system of an incinerator according to the present invention obtains the optimal frog group fitness value that meets the constraint conditions after multiple iterations, including: when the heating energy consumption of the incinerator is the least, the waste gas waste heat energy is the highest, and the incineration constant temperature holding time meets the expected time, the optimal frog group fitness value is output; wherein, the waste gas waste heat energy and the incineration constant temperature holding time are related to the furnace inlet oxygen amount and the furnace outlet gas amount.

[0016] A control method for the oxygen supply system of an incinerator according to the present invention obtains the optimal frog group fitness value that meets the constraint conditions after multiple iterations, including: determining the frog group fitness value F(OOV_in, OAV_out, T_in, T_out) through the following formula:

[0017] F(OOV_in, OAV_out, T_in, T_out) = (OAV_out * k_out * T_out) / {OOV_in * k_in * T_in + (T_out – T_in) * x_e + y_e}; when the frog group fitness value F(OOV_in, OAV_out, T_in, T_out) is the smallest, the optimal frog group fitness value is determined, and the opening degree of the oxygen inlet valve OOV_in, the opening degree of the gas outlet valve OAV_out, the oxygen inlet duration T_in, and the gas outlet duration T_out corresponding to the optimal frog group fitness value are output; wherein, k_out and k_in are proportionality coefficients; x_e is the first linear relationship coefficient; y_e is the second linear relationship coefficient.

[0018] A control method for the oxygen supply system of an incinerator according to the present invention, after determining the valve opening degree scheme of the oxygen supply system according to the average value of the frog group fitness value, further includes: saving the algorithm parameters and the valve opening degree scheme of the oxygen supply system corresponding to the algorithm parameters.

[0019] The present invention also provides a control device for an oxygen supply system of an incinerator, including: an optimal frog colony fitness value module, configured to determine the optimal frog colony fitness value for each experiment under constraints based on the shuffled frog leaping algorithm, according to the algorithm parameters of the shuffled frog leaping algorithm, the basic data in the incinerator database, and the cached data generated during incineration operations; an average value module, configured to determine the average value of the frog colony fitness values according to the optimal frog colony fitness value of each experiment; a valve opening scheme module, configured to determine the valve opening scheme of the oxygen supply system according to the average value of the frog colony fitness values, and control the oxygen supply system of the incinerator according to the valve opening scheme; wherein, the control parameters of the valve opening scheme of the oxygen supply system include the opening degree of the oxygen inlet valve, the opening degree of the air outlet valve, the oxygen inlet duration, and the air outlet duration.

[0020] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, it implements the control method for the oxygen supply system of the incinerator as described in any one of the above.

[0021] The present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it implements the control method for the oxygen supply system of the incinerator as described in any one of the above.

[0022] The control method, device, electronic device, and storage medium for the oxygen supply system of the incinerator provided by the present invention determine the optimal frog colony fitness value for each experiment under constraints through the shuffled frog leaping algorithm, determine the average value of the frog colony fitness values according to the optimal frog colony fitness value of each experiment, finally determine the valve opening scheme of the oxygen supply system, and control the oxygen supply system of the incinerator according to the valve opening scheme. Through the above method, the present invention obtains an optimized valve opening control scheme, which does not rely on operators and can directly obtain the opening control scheme through the algorithm model. Moreover, the adjusted shuffled frog leaping algorithm avoids the phenomenon of obtaining a suboptimal control scheme due to local optimality, with better integrity and accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0024] Figure 1 is a schematic flowchart of an embodiment of the control method for the oxygen supply system of the incinerator of the present invention;

[0025] Figure 2 is a schematic structural diagram of an embodiment of the shuffled frog leaping algorithm of the present invention;

[0026] Figure 3 It is a schematic structural diagram of an embodiment of the oxygen supply system control device of the incinerator of the present invention;

[0027] Figure 4 It is a schematic structural diagram of an embodiment of the electronic device of the present invention. Specific embodiments

[0028] To make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below with reference to the accompanying drawings in the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present invention without making creative efforts shall fall within the scope of protection of the present invention.

[0029] Please refer to Figure 1 , Figure 1 It is a schematic flowchart of an embodiment of the oxygen supply system control method of the incinerator of the present invention. In this embodiment, the oxygen supply system control method of the incinerator may include steps S110 to S130, and the specific steps are as follows:

[0030] S110: Based on the shuffled frog leaping algorithm, determine the optimal frog population fitness value for each experiment under the constraint conditions according to the algorithm parameters of the shuffled frog leaping algorithm, the basic data in the incinerator database, and the cache data generated during the incineration operation.

[0031] The oxygen supply system control method of the present invention can be applied to combustion devices such as cremators and waste incinerators. Taking the cremator as an example, the automatic adjustment module of the oxygen inlet valve and the air outlet valve is a very crucial part of the automatic oxygen supply system of the cremator. The opening control of the oxygen inlet valve and the air outlet valve is the main control input for adjusting the air supply speed, ensuring the standard incineration temperature in the furnace, and optimizing the energy consumption of the cremator. The objective of the present invention is to calculate and obtain the optimal valve opening scheme of the oxygen supply system through the shuffled frog leaping algorithm (SFLA).

[0032] In some embodiments, the steps of the algorithm parameters of the shuffled frog leaping algorithm may include:

[0033] Obtain the initial parameters of the shuffled frog leaping algorithm, and adjust the initial parameters to obtain the algorithm parameters of the shuffled frog leaping algorithm.

[0034] Specifically, initialize parameters such as the input sample space, the number of groups, the number of frogs in each group, the number of local iterations, the number of hybrid iterations, the number of realizations, and the maximum moving step length of the solution, which correspond to the initial parameters required in the shuffled frog leaping algorithm.

[0035] Please refer to Table 1, which is the parameter table of the Shuffled Frog Leaping Algorithm for the oxygen supply system control method of the present invention.

[0036]

[0037] Table 1 Algorithm Parameter Table

[0038] The basic data in the incinerator database may include process parameters such as corresponding incineration objects, oxygen quotas, and incineration cycles input according to operation requirements. It should be noted that both the basic data in the incinerator database and the algorithm parameters of the Shuffled Frog Leaping Algorithm need to be obtained before the oxygen supply system control. Cache data generated during the incineration operation can also be obtained, and the parameters in the process of the Shuffled Frog Leaping Algorithm can be adjusted according to the cache data.

[0039] The Shuffled Frog Leaping Algorithm is an algorithm proposed based on the change of population distribution when frogs forage on stones. It is a brand-new heuristic population evolution algorithm with high computational performance and excellent global search ability.

[0040] Therefore, in the present invention, the optimal frog population fitness value for each experiment under the constraint conditions is determined through the Shuffled Frog Leaping Algorithm. By setting the number of experiments in the algorithm parameters, multiple optimal frog population fitness values can be obtained.

[0041] S120: Determine the average value of the frog population fitness value according to the optimal frog population fitness value of each experiment.

[0042] The Shuffled Frog Leaping Algorithm can be completed by a computer. Optionally, during the calculation process, the computer interface will display the optimal frog population fitness obtained from each experiment in real time. After all the calculations are completed, the average value of the frog population fitness value is determined according to multiple optimal frog population fitness values. Specifically, it is obtained by adding multiple optimal frog population fitness values and then dividing by the number of experiments.

[0043] S130: Determine the valve opening scheme of the oxygen supply system according to the average value of the frog population fitness value, and control the oxygen supply system of the incinerator according to the valve opening scheme.

[0044] The valve opening scheme of the oxygen supply system can be determined according to the average value of the frog population fitness value. Among them, the control parameters of the valve opening scheme of the oxygen supply system include the opening degree of the oxygen inlet valve, the opening degree of the outlet valve, the oxygen inlet duration, and the outlet duration. The opening degree of the oxygen inlet valve and the oxygen inlet duration can be used to control the oxygen inlet volume, and the opening degree of the outlet valve and the outlet duration can be used to control the outlet volume. The core of the oxygen supply system control method of the present invention lies in how to discretely control the opening degrees of the oxygen inlet valve and the outlet valve, and by optimizing the Shuffled Frog Leaping Algorithm, avoid the phenomenon of obtaining a non-optimal control scheme due to local optimality.

[0045] The control method of the oxygen supply system of the incinerator provided by the present invention performs real-time analysis and calculation on the system fitness under various constraint conditions through the shuffled frog leaping algorithm, and finally determines the valve opening scheme of the oxygen supply system, and controls the oxygen supply system of the incinerator according to the valve opening scheme. Through the above method, the present invention obtains an optimized valve opening control scheme, which does not rely on the operator, and can directly obtain the opening control scheme through the algorithm model. Moreover, the adjusted shuffled frog leaping algorithm avoids the phenomenon of obtaining a non-optimal control scheme due to local optimality, with better integrity and accuracy.

[0046] In some embodiments, the shuffled frog leaping algorithm of the present invention may include:

[0047] Please refer to Figure 2 , Figure 2 is a schematic structural diagram of an embodiment of the shuffled frog leaping algorithm of the present invention. In this embodiment, the best frog group fitness value for each experiment under the constraint conditions is determined based on the shuffled frog leaping algorithm. Each frog is a solution that conforms to the constraint conditions (indeterminate equation). The shuffled frog leaping algorithm of the present invention can run a program in a computer to achieve calculation in the system.

[0048] Initializing the population: Taking the cremator operation as an example, the population size is the number of solutions obtained by each iteration of the algorithm; according to the empirical data of the gas supply for cremation operations, a certain number of feasible solutions that conform to the constraint function are initially set, that is, the number of sub-populations is set, as well as the iteration depth of the algorithm. The system judges whether the parameters and other conditions are configured properly. If so, the fitness of each frog is calculated, and all frogs are sorted in descending order of fitness.

[0049] Sub-population division: Randomly disperse the possible solutions into each solution space and sort them according to their fitness. This process can be regarded as simulating frogs jumping from one group to another. The system judges whether the upper limit UpdateTimes of the within-group optimization update times has been reached. If not, new solutions are randomly generated based on the constraint conditions for evolution: Use the fuzzy algorithm to judge whether the updated solution is better than the previous one; if the updated solution is better than the previous one, replace the original worst solution with the better solution; if the previous solution is better than the updated one, return to the previous step and re-judge whether the upper limit UpdateTimes of the within-group optimization update times has been reached. Until the within-group optimization update times reach the upper limit, a new solution is randomly generated to replace the original worst solution.

[0050] Above, when the sub-population iteration times are reached, this process ends, otherwise re-judge whether the upper limit UpdateTimes of the within-group optimization update times has been reached. Judge whether the sub-population iteration times have been reached. If not, repeat the above process. If so, re-divide the population, which is actually the reconstruction of the solution space grouping.

[0051] Sub-population mixing: All frogs (solutions) are mixed and sorted, and then enter the next iteration. It is judged whether the termination condition is met. If so, the optimal solution can be output; if not, return to the previous step, calculate the fitness of each frog, and sort all frogs in descending order of fitness.

[0052] It should be noted that in order to prevent the algorithm from falling into an infinite loop, the upper limit of the number of times of in-group optimization update MaxUpdateTimesInGroup is set. Within this number of times, fuzzy evolution is carried out: a new solution is randomly generated based on the maximum frog leaping step size. When the absolute value of the difference between the fitness values corresponding to the current worst solution and the new solution is <= BetterFrogRange, the system considers the new solution to be a better solution, and uses the worst solution update strategy to update the worst solution.

[0053] If the optimal solution is not found within the maximum number of in-group optimization updates, then a new solution is randomly generated based on the maximum frog leaping step size to replace the original worst solution, and directly jump out of the in-group optimization without considering the comparison of fitness values.

[0054] In some embodiments, the constraint conditions may include:

[0055] 1) The cumulative oxygen intake time of the furnace is less than the incineration constant temperature holding time of the furnace.

[0056] After the furnace is heated to a certain incineration process temperature value, each group of oxygen is discretely fed into the incinerator pipeline and continuously maintained for more than T_MAX minutes to ensure the completion of incineration. Specifically, it can be expressed by the following formula:

[0057] Sigma(T_i) < T_MAX;

[0058] Where, T_i is the oxygen intake time of the furnace at a certain time; T_MAX is the incineration constant temperature holding time of the furnace.

[0059] 2) The difference between the oxygen intake of the furnace and the oxygen output of the furnace is greater than or equal to the oxygen content requirement in the furnace.

[0060] During the combustion process, it is necessary to ensure that the items in the furnace are fully burned, so it is necessary to keep the oxygen content in the furnace not less than the required amount. Specifically, it can be expressed by the following formula:

[0061] (OOV_in * k_in * T_in – OAV_out * k_out * T_out) * k_o >= O_c;

[0062] Among them, OOV_in*k_in represents the oxygen inlet velocity of the furnace; OAV_out*k_out represents the gas outlet velocity of the furnace; OOV_in is the oxygen inlet valve opening; OAV_out is the gas outlet valve opening; T_in is the oxygen inlet duration; T_out is the gas outlet duration; k_o, k_out, and k_in are proportionality coefficients; O_c is the oxygen content requirement in the furnace.

[0063] 3) The duration coefficient is greater than or equal to the incineration constant temperature holding time.

[0064] Among them, the duration coefficient is related to the oxygen inlet duration, the gas outlet duration, the first constant temperature holding time, and the second constant temperature holding time. The smaller the opening of the oxygen inlet valve and the gas outlet valve, the slower the gas inlet and outlet speed, the lower the oxygen content in the furnace, and the combustion may be incomplete; the larger the opening, the faster the gas inlet and outlet speed. Although the oxygen content in the furnace is high, it will reduce the furnace temperature, the residual heat of the tail gas is low, and the energy consumption will increase. Therefore, if the gas outlet duration is longer than the oxygen inlet duration, it means that the opening of the gas outlet valve is smaller. Reasonable adjustment of the valve opening can ensure complete combustion of the incineration object. That is, when not considering the interference change of the oxygen inlet process on the temperature in the incinerator, it is necessary to ensure that the duration coefficient is greater than or equal to the incineration constant temperature holding time. Specifically, it can be expressed by the following formula:

[0065] T_m = (T_out – T_in)*x_m + y_m >= T_MAX;

[0066] Among them, T_m represents the duration coefficient; x_m is the first constant temperature holding time; y_m is the second constant temperature holding time.

[0067] 4) The negative pressure in the furnace during the incineration process is equal to or less than the furnace air pressure standard amount.

[0068] Based on the workshop environmental protection standard requirements, the negative pressure requirement in the furnace must be met during the incineration process. That is, after converting the air inlet and outlet volume into air pressure based on the proportionality coefficient each time, it must be equal to or lower than the furnace air pressure standard amount of the incinerator. Specifically, it can be expressed by the following formula:

[0069] (OAV_out*k_out*T_out - OOV_out*k_in*T_in)*k_p <= P_MAX;

[0070] Among them, k_p is the air pressure conversion coefficient; P_MAX is the furnace air pressure standard amount.

[0071] 5) The heating energy consumption of the incinerator is less than or equal to the expected energy consumption.

[0072] Among them, the heating energy consumption of the incinerator is related to the duration of gas output, the duration of oxygen input, the first linear relationship coefficient, and the second linear relationship coefficient. Considering energy conservation, for the calculation of the heating energy consumption of the incinerator, an upper limit of the desired energy consumption (such as electricity consumption or fuel consumption) is set. Specifically, it can be expressed by the following formula:

[0073] EP_MAX >= (T_out – T_in)*x_e + y_e;

[0074] Among them, EP_MAX is the desired energy consumption, x_e is the first linear relationship coefficient; y_e is the second linear relationship coefficient.

[0075] By the above method, the present invention sets 5 constraint conditions, making the best frog group fitness value calculated by the shuffled frog leaping algorithm more in line with the requirements of the operation, so as to quickly obtain an optimized valve opening scheme for the oxygen supply system.

[0076] In some embodiments, the steps of determining the best frog group fitness value for each experiment under the constraint conditions include:

[0077] In one experiment, through the shuffled frog leaping algorithm, the best frog group fitness value that meets the constraint conditions is obtained after multiple iterations; among them, the frog group fitness value is related to the heating energy consumption of the incinerator, the oxygen input amount in the furnace, and the gas output amount in the furnace.

[0078] Specifically, the steps of obtaining the best frog group fitness value that meets the constraint conditions after multiple iterations include:

[0079] When the heating energy consumption of the incinerator is the least, the waste heat energy of the tail gas is the highest and the incineration constant temperature holding time meets the desired time, output the best frog group fitness value; among them, the waste heat energy of the tail gas and the incineration constant temperature holding time are related to the oxygen input amount in the furnace and the gas output amount in the furnace.

[0080] Specifically, the frog group fitness value F(OOV_in, OAV_out, T_in, T_out) can be determined by the following formula:

[0081] F(OOV_in, OAV_out, T_in, T_out) =

[0082] (OAV_out*k_out*T_out) / {OOV_in*k_in*T_in + (T_out – T_in)*x_e + y_e};

[0083] When the fitness value F(OOV_in, OAV_out, T_in, T_out) of the frog group is minimized, the optimal fitness value of the frog group is determined, and the oxygen inlet valve opening OOV_in, the outlet valve opening OAV_out, the oxygen inlet duration T_in, and the outlet duration T_out corresponding to the optimal fitness value of the frog group are output;

[0084] where k_out and k_in are proportionality coefficients; x_e is the first linear relationship coefficient; y_e is the second linear relationship coefficient.

[0085] The present invention sets the fitness function F(OOV_in, OAV_out, T_in, T_out), and solves it through intelligent search by the shuffled frog leaping algorithm, quickly obtaining the four parameters OOV_in, OAV_out, T_in, and T_out that should be adjusted and set in a certain operation stage, making F(OOV_in, OAV_out, T_in, T_out) the smallest, so as to achieve the optimization goal: the heating energy consumption of the incinerator is the least, the waste heat energy of the tail gas is the highest, and the incineration constant temperature holding time meets the expected time to ensure sufficient incineration.

[0086] In some embodiments, after determining the valve opening scheme of the oxygen supply system according to the average value of the fitness values of the frog group, it further includes: saving the algorithm parameters and the valve opening scheme of the oxygen supply system corresponding to the algorithm parameters.

[0087] The present invention also has the function of saving the historically adjusted parameters as empirical values into the database for calling when initializing the feasible solution of the algorithm next time, forming a process knowledge base to guide the selection of the fitness function and the update rule.

[0088] The following describes the incinerator oxygen supply system control device provided by the present invention. The incinerator oxygen supply system control device described below can be correspondingly referred to the incinerator oxygen supply system control method described above.

[0089] Please refer to Figure 3 , Figure 3 which is a schematic structural diagram of an embodiment of the incinerator oxygen supply system control device of the present invention. In this embodiment, the incinerator oxygen supply system control device may include:

[0090] The optimal frog group fitness value module 310 is used to determine the optimal frog group fitness value of each experiment under the constraint conditions based on the shuffled frog leaping algorithm, according to the algorithm parameters of the shuffled frog leaping algorithm, the basic data in the incinerator database, and the cache data generated during the incineration operation;

[0091] The average value module 320 is used to determine the average value of the frog group fitness values according to the optimal frog group fitness value of each experiment.

[0092] The valve opening scheme module 330 is used to determine the valve opening scheme of the oxygen supply system according to the average value of the frog group fitness value, and control the oxygen supply system of the incinerator according to the valve opening scheme; wherein, the control parameters of the valve opening scheme of the oxygen supply system include the inlet oxygen valve opening, the outlet gas valve opening, the inlet oxygen duration, and the outlet gas duration.

[0093] In some embodiments, the constraint conditions of the optimal frog group fitness value module 310 include the following five:

[0094] 1) The cumulative oxygen inlet time of the furnace is less than the incineration constant temperature holding time of the furnace;

[0095] 2) The difference between the oxygen inlet volume of the furnace and the oxygen outlet volume of the furnace is greater than or equal to the oxygen content requirement in the furnace;

[0096] 3) The duration coefficient is greater than or equal to the incineration constant temperature holding time, where the duration coefficient is related to the inlet oxygen duration, the outlet gas duration, the first constant temperature holding time, and the second constant temperature holding time;

[0097] 4) The negative pressure in the furnace during the incineration process is equal to or less than the furnace pressure standard amount;

[0098] 5) The heating energy consumption of the incinerator is less than or equal to the expected energy consumption, where the heating energy consumption of the incinerator is related to the outlet gas duration, the inlet oxygen duration, the first linear relationship coefficient, and the second linear relationship coefficient.

[0099] In some embodiments, the constraint conditions of the optimal frog group fitness value module 310 can be expressed by the following five formulas:

[0100] 1) Sigma(T_i)<T_MAX;

[0101] Wherein, T_i is the oxygen inlet time of the furnace at a certain time; T_MAX is the incineration constant temperature holding time of the furnace;

[0102] 2)(OOV_in*k_in*T_in–OAV_out*k_out*T_out)*k_o>=O_c;

[0103] Wherein, OOV_in*k_in represents the oxygen inlet speed of the furnace; OAV_out*k_out represents the oxygen outlet speed of the furnace; OOV_in is the inlet oxygen valve opening; OAV_out is the outlet gas valve opening; T_in is the inlet oxygen duration; T_out is the outlet gas duration; k_o, k_out, k_in are proportionality coefficients; O_c is the oxygen content requirement in the furnace;

[0104] 3)T_m=(T_out–T_in)*x_m+y_m>=T_MAX;

[0105] wherein, \(T_m\) represents the duration coefficient; \(x_m\) is the first constant temperature holding time; \(y_m\) is the second constant temperature holding time;

[0106] 4) \((OAV_{out} \times k_{out} \times T_{out} - OOV_{out} \times k_{in} \times T_{in}) \times k_p \leq P_{MAX}\);

[0107] wherein, \(k_p\) is the air pressure conversion coefficient; \(P_{MAX}\) is the standard amount of furnace pressure;

[0108] 5) \(EP_{MAX} \geq (T_{out} – T_{in}) \times x_e + y_e\);

[0109] wherein, \(EP_{MAX}\) is the expected energy consumption, \(x_e\) is the first linear relationship coefficient; \(y_e\) is the second linear relationship coefficient.

[0110] In some embodiments, the optimal frog population fitness value module 310 is further configured to:

[0111] In an experiment, through the shuffled frog leaping algorithm, the optimal frog population fitness value that meets the constraint conditions is obtained after multiple iterations; wherein, the frog population fitness value is related to the heating energy consumption, the furnace inlet oxygen amount and the furnace outlet gas amount of the incinerator.

[0112] In some embodiments, the optimal frog population fitness value module 310 is further configured to:

[0113] When the heating energy consumption of the incinerator is the least, the waste heat energy of the tail gas is the highest, and the incineration constant temperature holding time meets the expected time, output the optimal frog population fitness value; wherein, the waste heat energy of the tail gas and the incineration constant temperature holding time are related to the furnace inlet oxygen amount and the furnace outlet gas amount.

[0114] In some embodiments, the optimal frog population fitness value module 310 is further configured to:

[0115] Determine the frog population fitness value \(F(OOV_{in}, OAV_{out}, T_{in}, T_{out})\) through the following formula:

[0116] \(F(OOV_{in}, OAV_{out}, T_{in}, T_{out}) = \frac{OAV_{out} \times k_{out} \times T_{out}}{OOV_{in} \times k_{in} \times T_{in} + (T_{out} – T_{in}) \times x_e + y_e}\);

[0117] When the fitness value F(OOV_in, OAV_out, T_in, T_out) of the frog group is minimized, the optimal fitness value of the frog group is determined, and the oxygen inlet valve opening OOV_in, the outlet valve opening OAV_out, the oxygen inlet duration T_in, and the outlet duration T_out corresponding to the optimal fitness value of the frog group are output; where k_out and k_in are proportionality coefficients; x_e is the first linear relationship coefficient; y_e is the second linear relationship coefficient.

[0118] In some embodiments, the incinerator oxygen supply system control device 300 may further include a storage module, and the storage module is used to: save the algorithm parameters and the valve opening scheme of the oxygen supply system corresponding to the algorithm parameters.

[0119] The present invention also provides an electronic device, please refer to Figure 4 , Figure 4 is a schematic structural diagram of an embodiment of the electronic device of the present invention. In this embodiment, the electronic device 400 may include a memory 410, a processor 420, and a computer program stored on the memory 420 and executable on the processor 410. When the processor 410 executes the program, it implements the incinerator oxygen supply system control method provided by the above-mentioned various methods.

[0120] Optionally, the electronic device 400 may further include a communication bus 430 and a communication interface 440. Among them, the processor 410, the communication interface 440, and the memory 420 complete mutual communication through the communication bus 430. The processor 410 can call the logical instructions in the memory 420 to execute the incinerator oxygen supply system control, and the method includes: based on the shuffled frog leaping algorithm, determining the optimal fitness value of each experiment under the constraint conditions according to the algorithm parameters of the shuffled frog leaping algorithm, the basic data in the incinerator database, and the cache data generated during the incineration operation; determining the average value of the fitness values of the frog group according to the optimal fitness value of each experiment; determining the valve opening scheme of the oxygen supply system according to the average value of the fitness values of the frog group, and controlling the oxygen supply system of the incinerator according to the valve opening scheme; where the control parameters of the valve opening scheme of the oxygen supply system include the oxygen inlet valve opening, the outlet valve opening, the oxygen inlet duration, and the outlet duration.

[0121] In addition, when the logical instructions in the above-mentioned memory 420 can be implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs that can store program codes.

[0122] On the other hand, the present invention also provides a computer program product. The computer program product includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the control method of the oxygen supply system of the incinerator provided by the above-mentioned various methods. The steps and principles have been introduced in detail in the above methods and will not be elaborated here.

[0123] On another aspect, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it is implemented to execute the control method of the oxygen supply system of the incinerator provided by the above-mentioned various methods. The steps and principles have been introduced in detail in the above methods and will not be elaborated here.

[0124] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative efforts.

[0125] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the essence of the above technical solution or the part that contributes to the prior art can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0126] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A control method for an oxygen supply system of an incinerator, characterized in that, Including: Based on the Shuffled Frog Leaping Algorithm, determine the optimal frog colony fitness value for each experiment under the constraint conditions according to the algorithm parameters of the Shuffled Frog Leaping Algorithm, the basic data in the incinerator database, and the cached data generated during the incineration operation; Determine the average value of the frog colony fitness value according to the optimal frog colony fitness value of each experiment; Determine the valve opening scheme of the oxygen supply system according to the average value of the frog colony fitness value, and control the oxygen supply system of the incinerator according to the valve opening scheme; wherein, the control parameters of the valve opening scheme of the oxygen supply system include the inlet oxygen valve opening, the outlet gas valve opening, the inlet oxygen duration, and the outlet gas duration; Among them, the constraint conditions include: The cumulative oxygen inlet time of the furnace chamber is less than the incineration constant temperature holding time of the furnace chamber; The difference between the oxygen inlet volume of the furnace chamber and the oxygen outlet volume of the furnace chamber is greater than or equal to the oxygen content requirement in the furnace chamber; The duration coefficient is greater than or equal to the incineration constant temperature holding time, wherein the duration coefficient is related to the inlet oxygen duration, the outlet gas duration, the first constant temperature holding time, and the second constant temperature holding time; The negative pressure in the furnace chamber during the incineration process is equal to or less than the furnace chamber air pressure standard amount; The heating energy consumption of the incinerator is less than or equal to the expected energy consumption, wherein the heating energy consumption of the incinerator is related to the outlet gas duration, the inlet oxygen duration, the first linear relationship coefficient, and the second linear relationship coefficient.

2. The control method of the oxygen supply system of the incinerator according to claim 1, characterized in that The constraint conditions include: Sigma(T_i)<T_MAX; Among them, T_i is the oxygen inlet time of the furnace chamber at a certain time; T_MAX is the incineration constant temperature holding time of the furnace chamber; (OOV_in*k_in*T_in–OAV_out*k_out*T_out)*k_o>=O_c; Among them, OOV_in*k_in represents the oxygen inlet speed of the furnace chamber; OAV_out*k_out represents the oxygen outlet speed of the furnace chamber; OOV_in is the inlet oxygen valve opening; OAV_out is the outlet gas valve opening; T_in is the inlet oxygen duration; T_out is the outlet gas duration; k_o, k_out, k_in are proportionality coefficients; O_c is the oxygen content requirement in the furnace chamber; T_m=(T_out–T_in)*x_m+y_m>=T_MAX; Among them, T_m represents the duration coefficient; x_m is the first constant temperature holding time; y_m is the second constant temperature holding time; (OAV_out*k_out*T_out-OOV_out*k_in*T_in)*k_p<=P_MAX; Among them, k_p is the air pressure conversion coefficient; P_MAX is the furnace chamber air pressure standard amount; EP_MAX>=(T_out–T_in)*x_e+y_e; Among them, EP_MAX is the expected energy consumption, x_e is the first linear relationship coefficient; y_e is the second linear relationship coefficient.

3. The control method of the oxygen supply system of the incinerator according to claim 1, wherein The determination of the optimal frog colony fitness value for each experiment under the constraint conditions includes: In an experiment, through the shuffled frog leaping algorithm, the optimal frog population fitness value that meets the constraint conditions is obtained after multiple iterations; wherein, the frog population fitness value is related to the heating energy consumption of the incinerator, the oxygen input amount into the furnace chamber, and the gas output amount from the furnace chamber.

4. The control method of the oxygen supply system of the incinerator according to claim 3, characterized in that The obtaining of the optimal frog population fitness value that meets the constraint conditions after multiple iterations includes: When the heating energy consumption of the incinerator is the least, the waste heat energy of the tail gas is the highest, and the incineration constant temperature holding time meets the expected time, output the optimal frog population fitness value; wherein, the waste heat energy of the tail gas and the incineration constant temperature holding time are related to the oxygen input amount into the furnace chamber and the gas output amount from the furnace chamber.

5. The control method of the oxygen supply system of the incinerator according to claim 4, characterized in that The obtaining of the optimal frog population fitness value that meets the constraint conditions after multiple iterations includes: Determine the frog population fitness value F(OOV_in, OAV_out, T_in, T_out) through the following formula: F(OOV_in, OAV_out, T_in, T_out) = (OAV_out * k_out * T_out) / {OOV_in * k_in * T_in + (T_out – T_in) * x_e + y_e}; When the frog population fitness value F(OOV_in, OAV_out, T_in, T_out) is the smallest, determine the optimal frog population fitness value, and output the opening degree OOV_in of the oxygen inlet valve, the opening degree OAV_out of the gas outlet valve, the oxygen input duration T_in, and the gas output duration T_out corresponding to the optimal frog population fitness value; wherein, k_out and k_in are proportionality coefficients; x_e is the first linear relationship coefficient; y_e is the second linear relationship coefficient.

6. The control method of the oxygen supply system for the incinerator according to claim 1, characterized in that After determining the valve opening degree scheme of the oxygen supply system according to the average value of the frog population fitness value, it further includes: Save the algorithm parameters and the valve opening degree scheme of the oxygen supply system corresponding to the algorithm parameters.

7. A control device for an oxygen supply system of an incinerator, characterized in that, It includes: An optimal frog population fitness value module, which is used to determine the optimal frog population fitness value for each experiment under the constraint conditions based on the shuffled frog leaping algorithm, according to the algorithm parameters of the shuffled frog leaping algorithm, the basic data in the incinerator database, and the cache data generated during the incineration operation; An average value module, which is used to determine the average value of the frog population fitness value according to the optimal frog population fitness value of each experiment; A valve opening degree scheme module, which is used to determine the valve opening degree scheme of the oxygen supply system according to the average value of the frog population fitness value, and control the oxygen supply system of the incinerator according to the valve opening degree scheme; wherein, the control parameters of the valve opening degree scheme of the oxygen supply system include the opening degree of the oxygen inlet valve, the opening degree of the gas outlet valve, the oxygen input duration, and the gas output duration; wherein, the constraint conditions include: The cumulative oxygen input time of the furnace chamber is less than the incineration constant temperature holding time of the furnace chamber; The difference between the oxygen input amount into the furnace chamber and the gas output amount from the furnace chamber is greater than or equal to the oxygen content requirement in the furnace chamber; The duration coefficient is greater than or equal to the incineration constant temperature holding time, wherein the duration coefficient is related to the oxygen input duration, the gas output duration, the first constant temperature holding time, and the second constant temperature holding time; The negative pressure in the furnace chamber during the incineration process is equal to or less than the furnace chamber air pressure standard amount; The heating energy consumption of the incinerator is less than or equal to the expected energy consumption, wherein the heating energy consumption of the incinerator is related to the duration of the gas outlet, the duration of oxygen inlet, the first linear relationship coefficient, and the second linear relationship coefficient.

8. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the control method for the oxygen supply system of the incinerator according to any one of claims 1 to 6.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the control method for the oxygen supply system of the incinerator according to any one of claims 1 to 6.

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