Target agent treatment method, device and equipment in water treatment process

Abstract

The invention provides a target agent treatment method, device and equipment in a water treatment process. The method comprises the following steps: acquiring basic data of target water treatment equipment; according to the basic data, multiple alternative agent adding schemes are determined, and the agent adding schemes comprise the target agent adding proportion, the target agent solution concentration and the sludge treatment time interval; obtaining a fitness function; according to the fitness function, processing the plurality of alternative medicament adding schemes to obtain a target medicament adding scheme; and controlling target water treatment equipment to treat the sludge according to the target agent adding scheme. According to the scheme, an accurate agent adding scheme can be determined according to actual equipment conditions, and the sludge treatment efficiency and stability are improved.

Description

Technical Field

[0001] The present invention relates to the field of computer information technology processing technology, and in particular to a method, device and equipment for treating a target agent in a water treatment process. Background Art

[0002] Dosing technology is widely used in the field of water treatment. However, the existing dosing technology has the following problems in practical application:

[0003] 1. Due to the different raw water treatment processes, it is difficult to confirm the process parameters such as the type of reagent, the dissolution method, the ratio of reagent and the dosage ratio according to the raw water related data (the raw water quality and water volume fluctuate greatly). Taking the sludge treatment dosing as an example, the sludge is produced irregularly, the output and the sludge moisture content are uncontrollable, and the treatment time is uncertain. Therefore, the relevant parameters of the reagent dosing cannot be determined, and the dosing can only rely on the operator's work experience;

[0004] 2. Uncertainty of the properties of the reagent. Taking PAM reagents used in water treatment as an example, there are many types of PAM (polyacrylamide), such as anionic, cationic and non-ionic. The corresponding PAM type needs to be used according to the properties of the raw water; at the same time, water temperature, mud pH value, solution ratio concentration, whether the reagent is dissolved evenly, mixer speed during dissolution, stirring time, aging time, solution addition speed, etc. will affect the flocculation effect; excessive use of the third reagent may lead to increased costs and even environmental pollution; while too little use may not achieve the expected treatment effect. Summary of the invention

[0005] The technical problem to be solved by the present invention is to provide a method, device and equipment for treating a target agent in a water treatment process, which can determine an accurate agent dosing plan according to the actual equipment conditions and improve the sludge treatment efficiency and stability.

[0006] In order to solve the above technical problems, the technical solution of the present invention is as follows:

[0007] A method for treating a target agent in a water treatment process, comprising:

[0008] Obtain basic data of target water treatment equipment;

[0009] Determine a plurality of alternative reagent dosing schemes according to the basic data, wherein the reagent dosing schemes include: a target reagent dosing ratio, a target reagent solution concentration, and a sludge treatment time interval;

[0010] Get the fitness function;

[0011] According to the fitness function, the plurality of candidate drug dosing schemes are processed to obtain a target drug dosing scheme;

[0012] According to the target reagent dosing scheme, the target water treatment equipment is controlled to treat the sludge.

[0013] Optionally, multiple alternative drug administration schemes are determined based on the basic data, including:

[0014] Determine, based on the basic data, a first value range of the target reagent dosage ratio, a second value range of the target reagent solution concentration, and a third value range of the sludge treatment time interval;

[0015] Randomly generate a plurality of optional target agent dosage ratios, target agent solution concentrations and sludge treatment time intervals within the first value range, the second value range and the third value range;

[0016] The multiple optional target agent dosage ratios, target agent solution concentrations and sludge treatment time intervals are combined to obtain multiple alternative agent dosage schemes.

[0017] Optionally, obtain the fitness function, including:

[0018] Obtaining the sludge treatment cost according to the target agent dosage ratio, the target agent solution concentration and the sludge treatment time interval;

[0019] Obtaining the sludge treatment effect according to the target agent dosage ratio, the target agent solution concentration and the sludge treatment time interval;

[0020] According to the sludge treatment cost and the sludge treatment effect, a fitness function is obtained; the fitness function is: , where Fitness is fitness, Effect is sludge treatment effect, Cost is total The cost of sludge treatment.

[0021] Optionally, the sludge treatment cost is obtained according to the target agent dosage ratio, the target agent solution concentration and the sludge treatment time interval, including:

[0022] Determining a target drug cost according to the target drug dosage ratio;

[0023] According to the target reagent addition ratio, the target reagent solution concentration and the sludge treatment time interval, determine the running time of the sludge mixing tank agitator, the power of the sludge mixing tank agitator, the target reagent solution maturation time, the target reagent solution maturation equipment power, the running time of the sludge dewatering machine, and the running power of the sludge dewatering machine;

[0024] Determine the equipment operation cost according to the running time of the sludge mixing tank agitator, the power of the sludge mixing tank agitator, the target reagent solution maturation time, the power of the target reagent solution maturation equipment, the running time of the sludge dewatering machine, and the running power of the sludge dewatering machine;

[0025] The sludge treatment cost is obtained according to the target reagent cost and equipment operation cost.

[0026] Optionally, the sludge treatment effect is obtained according to the target agent dosage ratio, the target agent solution concentration and the sludge treatment time interval, including:

[0027] Determining the moisture content of the sludge after treatment according to the target agent dosage ratio, the target agent solution concentration and the sludge treatment time interval;

[0028] The sludge treatment effect is obtained according to the sludge moisture content after treatment and the target moisture content.

[0029] Optionally, the plurality of candidate drug dosing schemes are processed according to the fitness function to obtain a target drug dosing scheme, including:

[0030] Determining the fitness of each alternative agent dosing scheme according to the fitness function;

[0031] According to the fitness, selecting a plurality of genetic individuals for iteration from a plurality of alternative drug administration schemes;

[0032] Performing a round of iteration on the multiple genetic individuals to obtain offspring individuals;

[0033] According to the fitness of the offspring individuals, multiple rounds of iterations are repeated on the offspring individuals until a preset number of iterations is reached to obtain a target drug dosing plan.

[0034] Optionally, performing a round of iteration on the plurality of genetic individuals to obtain offspring individuals includes:

[0035] Randomly selecting two individuals from the multiple genetic individuals to perform crossover to obtain crossover individuals;

[0036] The crossover individuals are mutated within the first value range, the second value range and the third value range according to the mutation probability to obtain offspring individuals.

[0037] The present invention also provides a target agent treatment device in a water treatment process, comprising:

[0038] An acquisition module, used to acquire basic data of target water treatment equipment;

[0039] A processing module is used to determine multiple alternative agent addition schemes based on the basic data, and the agent addition schemes include: a target agent addition ratio, a target agent solution concentration and a sludge treatment time interval; obtain a fitness function; according to the fitness function, process the multiple alternative agent addition schemes to obtain a target agent addition scheme; according to the target agent addition scheme, control the target water treatment equipment to treat the sludge.

[0040] The present invention also provides a computing device, comprising: a processor and a memory storing a computer program, wherein when the computer program is run by the processor, the method as described above is executed.

[0041] The present invention also provides a computer-readable storage medium storing instructions, which, when executed on a computer, enable the computer to execute the above method.

[0042] The above solution of the present invention includes at least the following beneficial effects:

[0043] The above scheme of the present invention obtains the basic data of the target water treatment equipment; determines multiple alternative reagent dosing schemes based on the basic data, and the reagent dosing schemes include: target reagent dosing ratio, target reagent solution concentration and sludge treatment time interval; obtains the fitness function; processes the multiple alternative reagent dosing schemes according to the fitness function to obtain the target reagent dosing scheme; and controls the target water treatment equipment to treat the sludge according to the target reagent dosing scheme. The accurate reagent dosing scheme can be determined according to the actual equipment conditions to improve the sludge treatment efficiency and stability. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 is a schematic flow chart of a target reagent treatment method in a water treatment process according to an embodiment of the present invention;

[0045] Figure 2 It is a structural diagram of a target reagent treatment device in a water treatment process according to an embodiment of the present invention. DETAILED DESCRIPTION

[0046] The exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present invention and to enable the scope of the present invention to be fully communicated to those skilled in the art.

[0047] like Figure 1 As shown, an embodiment of the present invention provides a method for treating a target agent in a water treatment process, comprising:

[0048] Step 11, obtaining basic data of the target water treatment equipment;

[0049] Here, the basic data include: daily processing capacity of the water plant, relevant parameters of the sludge pool (height, diameter, mud level, maximum operating water level, etc.), relevant parameters of the sludge dewatering machine (type, sludge feeding method, processing capacity per unit time), relevant parameters of the PAM solution preparation machine (capacity of the solution tank and the drug storage tank), relevant parameters of the sludge mixing tank (height, diameter, maximum operating water level, filling time), etc. The data are obtained through the design drawings of the water plant, equipment manuals and on-site measurements;

[0050] Raw water quality related parameters (water temperature, pH value, turbidity, COD, ammonia nitrogen), which are collected in real time by online water quality monitoring instruments;

[0051] Step 12, determining a plurality of alternative reagent dosing schemes according to the basic data, wherein the reagent dosing schemes include: a target reagent dosing ratio, a target reagent solution concentration, and a sludge treatment time interval;

[0052] Step 13, obtaining the fitness function;

[0053] Step 14, processing the plurality of candidate drug dosing schemes according to the fitness function to obtain a target drug dosing scheme;

[0054] Step 15: According to the target reagent dosing scheme, control the target water treatment equipment to treat the sludge.

[0055] In this embodiment, the relevant basic data of the target water treatment equipment is obtained, and multiple feasible reagent dosing schemes for the target water treatment equipment are determined based on the basic data. The feasible reagent dosing scheme refers to a feasible scheme that can be implemented on the target water treatment equipment in theory, but may not be able to achieve the optimal effect in terms of economy and treatment effect. The reagent can be a variety of reagents such as PAM (polyacrylamide) reagent. The fitness function is determined, and the multiple alternative reagent dosing schemes are iteratively updated according to the fitness function, and finally the target reagent dosing scheme with the highest fitness is obtained. The fitness function is used to evaluate the economy and practicality of the reagent dosing scheme, and the economical and practical reagent dosing scheme has a relatively high fitness score. Finally, according to the obtained target reagent dosing scheme, the reagent is added on the target water treatment equipment, the sludge is treated, and the sludge with a low water content after the reagent treatment and in compliance with relevant regulations is obtained, and the sludge treatment is completed.

[0056] In an optional embodiment of the present invention, step 12 may include:

[0057] Step 121, determining a first value range of the target reagent dosage ratio, a second value range of the target reagent solution concentration, and a third value range of the sludge treatment time interval according to the basic data;

[0058] Step 122, randomly generating a plurality of optional target agent dosage ratios, target agent solution concentrations and sludge treatment time intervals within the first value range, the second value range and the third value range;

[0059] Step 123, combining the multiple optional target agent dosage ratios, target agent solution concentrations and sludge treatment time intervals to obtain multiple alternative agent dosage plans.

[0060] In this embodiment, the target agent addition ratio, target agent solution concentration and sludge treatment time interval are determined according to the relevant conditions of the basic data. Preferably, the first value range of the target agent addition ratio is 1.2-3.0, the second value range of the target agent solution concentration is 0.05%-0.3%, and the third value range of the sludge treatment time interval is 12-72, in hours. The target agent addition ratio is k, the target agent solution concentration is C PAM , the sludge treatment time interval is T interval , using real number coding, the target agent dosage ratio k, target agent solution concentration C PAM , sludge treatment time interval T interval As decision variables, the target agent dosage ratio k and the target agent solution concentration C PAM and sludge treatment time interval T interval The values ​​of are randomly generated within their respective value ranges, and finally a plurality of alternative drug dosing schemes are obtained.

[0061] In an optional embodiment of the present invention, step 13 may include:

[0062] Step 131, obtaining the sludge treatment cost according to the target reagent addition ratio, the target reagent solution concentration and the sludge treatment time interval;

[0063] Step 132, obtaining the sludge treatment effect according to the target reagent addition ratio, the target reagent solution concentration and the sludge treatment time interval;

[0064] Step 133, obtaining a fitness function according to the sludge treatment cost and the sludge treatment effect; the fitness function is: , where Fitness is fitness, Effect is sludge treatment effect, Cost is total The cost of sludge treatment.

[0065] In this embodiment, in order to evaluate the pros and cons of each alternative agent dosing scheme, the agent dosing scheme with better performance is selected, and a fitness function is set. The fitness function includes two aspects: sludge treatment cost and sludge treatment effect. Among them, the sludge treatment cost is affected by the target agent dosing ratio, target agent solution concentration and sludge treatment time interval in different agent dosing schemes.

[0066] Specifically, step 131 may include:

[0067] Step 1311, determining a target drug cost according to the target drug dosage ratio;

[0068] Step 1312, according to the target reagent addition ratio, the target reagent solution concentration and the sludge treatment time interval, determine the running time of the sludge mixing tank agitator, the power of the sludge mixing tank agitator, the target reagent solution maturation time, the target reagent solution maturation equipment power, the running time of the sludge dewatering machine, and the running power of the sludge dewatering machine;

[0069] Step 1313, determining the equipment operation cost according to the running time of the sludge mixing tank agitator, the power of the sludge mixing tank agitator, the target reagent solution maturation time, the target reagent solution maturation equipment power, the running time of the sludge dewatering machine, and the running power of the sludge dewatering machine;

[0070] Step 1314, obtaining the sludge treatment cost according to the target reagent cost and the equipment operation cost.

[0071] Here, the sludge treatment cost includes the cost of reagents and the cost of equipment operation. The sludge treatment cost can be expressed as: Cost total =Cost PAM +Cost equipment , where Cost total Cost is the sludge treatment cost. PAM Cost equipment Cost of equipment operation. PAM Can be expressed as Cost PAM =u*Price PAM , where u is the dosage of the reagent, u=Mo*k, where k is the target dosage ratio of the reagent, Mo is the dry weight of the sludge treated this time, Mo=v o *ρ*W / 100, where v o is the volume of the sludge balance tank or sludge storage tank, ρ is the sludge density, which is 1000kg / m 3 , W is the sludge concentration. PAM It is the unit price of the medicine, unit: Yuan / gram.

[0072] Equipment operating costequipment Including: sludge mixing tank mixer, PAM solution preparation equipment (such as dissolving tank mixer, storage tank mixer, etc.) and sludge dewatering equipment operating costs. Equipment operating costs are related to equipment operating time and power. Specifically, equipment operating costs Cost equipment It can be expressed as: Cost equipment =(Tst*Pst+Tmat*Pmat+Tde*Pde)*Price electricity .

[0073] Where Tst is the running time of the mixing tank mixer, , where C PAM is the target drug solution concentration, T st0 is the running time of the mixing tank mixer at the reference pharmaceutical solution concentration, C PAM0 is the concentration of the benchmark pharmaceutical solution, b is the empirical coefficient, which is obtained through experiments, for example, by conducting stirring tests at different pharmaceutical solution concentrations, measuring the time required to reach a uniformly mixed state, and then performing data fitting.

[0074] Pst is the power of the sludge mixing tank mixer, , where T interval is the sludge treatment time interval, T interval0 is the benchmark sludge treatment time interval, P st0 is the power of the agitator in the mixing tank at the benchmark sludge treatment time interval, and d is the empirical coefficient, which is obtained by monitoring the power consumption of the agitator in the mixing tank at different treatment time intervals and by data fitting.

[0075] Tmat is the maturation time of the drug solution, , where C PAM is the target drug solution concentration, T mat0 is the aging time of the drug solution at the reference drug solution concentration, C PAM0 is the benchmark drug solution concentration, c is the empirical coefficient, and it is obtained by performing aging tests on different drug solution concentrations, observing the time required to achieve the optimal performance, and then fitting the data.

[0076] Pmat is the power of related equipment during the maturation of the reagent solution, Tde is the operating time of the dehydrator, and Pde is the operating power of the dehydrator. , where P de0 is the dewatering machine power at the reference sludge treatment time interval, T interval is the sludge treatment time interval, T interval0 is the benchmark sludge treatment time interval, e is the empirical coefficient, and it is obtained by monitoring and analyzing the power data of the dehydrator at different treatment time intervals.

[0077] Priceelectricity It is the electricity price, unit: Yuan / kWh.

[0078] In an optional embodiment of the present invention, step 132 may include:

[0079] Step 1321, determining the moisture content of the sludge after treatment according to the target reagent addition ratio, the target reagent solution concentration and the sludge treatment time interval;

[0080] Step 1322, obtaining the sludge treatment effect according to the moisture content of the treated sludge and the target moisture content.

[0081] In this embodiment, the sludge treatment effect is mainly measured by the moisture content of the treated sludge. Assume that the target moisture content is F target , the value is 60%. The moisture content of the sludge after treatment is F ts According to the target agent dosage ratio, target agent solution concentration and sludge treatment time interval in each alternative agent dosage scheme, the moisture content of the sludge after treatment is F ts It can be expressed as: , where Fts is the moisture content of the treated sludge, Ftarget is the target moisture content, α is the dehydration efficiency coefficient, the synergistic effect strength between the reaction sludge characteristics and the reagent, k is the target reagent dosage ratio, C pam is the target drug solution concentration, T interval The time interval for sludge treatment.

[0082] According to the target moisture content and the moisture content of the treated sludge, the sludge treatment effect can be expressed as: , where Effect is the sludge treatment effect, F ts is the moisture content of the treated sludge, F target is the target moisture content.

[0083] In an optional embodiment of the present invention, step 14 may include:

[0084] Step 141, determining the fitness of each alternative drug dosing scheme according to the fitness function;

[0085] Step 142, selecting a plurality of genetic individuals for iteration from a plurality of alternative drug administration schemes according to the fitness;

[0086] Step 143, performing a round of iteration on the plurality of genetic individuals to obtain offspring individuals;

[0087] Step 144, repeating multiple rounds of iterations on the offspring individuals according to the fitness of the offspring individuals until a preset number of iterations is reached to obtain a target drug dosing plan.

[0088] In the present embodiment, according to the fitness function, the fitness of each alternative drug addition scheme is calculated. According to the fitness of each drug addition scheme obtained, the probability that each drug addition scheme is selected as a genetic individual is determined. The larger the fitness value, the greater the probability that the drug addition scheme is selected as the genetic individual to be iterated. In the selection process of the genetic individual, the probability of each individual is accumulated, and then a random number is generated, and the selected genetic individual is determined according to the probability interval where the random number is located.

[0089] Iterate the selected genetic individuals, and the iteration method includes:

[0090] Step 1431, randomly selecting two individuals from the plurality of genetic individuals for crossover to obtain crossover individuals;

[0091] Step 1432, mutate the crossover individuals according to the mutation probability within the first value range, the second value range and the third value range to obtain offspring individuals.

[0092] First, a single-point crossover method is used to randomly select two genetic individuals as parents, and the codes consisting of their target agent dosage ratio, target agent solution concentration and sludge treatment time interval are used as chromosomes. A crossover point is randomly selected on the chromosome, and the genes of the parent individual after the crossover point are exchanged to generate two crossover individuals. The crossover probability is set to P C =0.7, that is, there is a 70% probability that chromosome crossing will occur between the two selected genetic individuals (parent individuals), and a 30% probability that chromosome crossing will not occur.

[0093] For the crossover individuals after the crossover, or the genetic individuals that were selected as genetic individuals but did not crossover, continue to mutate. The probability of mutation is 0.05, that is, there is a 5% probability of mutation. The mutation method is random change within a certain range of gene values. The specific mutation range is as follows: for the target agent addition ratio k, a new value is randomly generated within the range of ±0.1 of its original value; for the target agent solution concentration, it varies within the range of ±0.02% of its original value; for the sludge treatment time interval, it varies within the range of ±2 hours of its original value. At the same time, it is necessary to ensure that the values ​​of the mutated individuals are within the first value range, the second value range, and the third value range.

[0094] The offspring individuals are obtained according to the individuals that complete the crossover or mutation according to a certain probability, which is used as an iteration from the genetic individual to the offspring individual. The iteration is continued for the offspring individuals after the iteration, that is, the fitness of the offspring individuals is calculated, and new genetic individuals are selected according to the fitness scores. The new genetic individuals are crossover and mutation operations are performed to obtain new offspring individuals. Repeat the above iterative process until the preset number of iterations is reached, then the iteration is stopped. The individual with the highest fitness is selected from the latest offspring individuals as the optimal individual and output. This output result is determined as the target drug addition plan.

[0095] In the above embodiment of the present invention, when the iterative process meets the termination condition, the optimal individual is output. The target agent dosage ratio, target agent solution concentration and sludge treatment time interval corresponding to the optimal individual are the optimized parameters. These optimized parameters are applied to the actual cement plant dosing process and a one-month trial run is carried out. During the trial run, data such as sludge treatment cost, sludge moisture content after treatment, and equipment operation status are recorded every day. By comparing the data during the trial run with the data before optimization, if the treatment cost is reduced by more than [X]% (for example, more than 10%), and the average moisture content of the sludge after treatment is reduced to near the target moisture content (for example, the difference with the target moisture content is within ±5%), and the equipment runs smoothly without abnormalities, then the optimization parameters are verified to be valid. Otherwise, readjust the algorithm parameters or check whether there are loopholes in the model algorithm, and perform the optimization calculation again until effective optimization parameters are obtained.

[0096] The implementation process of the above method is further described below with a specific embodiment:

[0097] Embodiment 1,

[0098] The basic data of the target water treatment equipment is obtained, and the target agent dosing scheme is obtained according to the basic data during the treatment, wherein the target agent is PAM agent. The target agent dosing scheme is: target agent dosing ratio 1.5, target agent solution concentration 0.18% and sludge treatment time interval 36 hours. The sludge is treated according to the final determined target agent dosing scheme, specifically including the following steps:

[0099] According to the volume vo of the sludge source (sludge balance tank or sludge storage tank) and the sludge concentration w, calculate the dry weight Mo of the sludge treated this time: Mo=v o *ρ*W / 100 (assuming ρ=1000kg / m³);

[0100] Calculate the estimated PAM dosage U for sludge treatment: UO=Mo*k;

[0101] According to the water temperature, pH, sludge concentration of the sludge inlet of the sludge mixing tank, the PAM solution concentration recommended by the supplier and the comparison of relevant historical data, the PAM solution concentration CPAM used this time is determined;

[0102] Calculate the estimated amount of PAM solution Qo: Qo=U / (1000CPAM).

[0103] PAM solution configuration:

[0104] According to the water flow Vin and water inlet time Tin of the PAM dissolving chamber, the amount of water entering the dissolving chamber Ve1 is calculated, and then the mass of PAM powder Se1=Ve1*CPAM required to prepare the PAM solution with a concentration of CPAM is calculated;

[0105] Estimate Qo based on the amount of PAM solution used and calculate the number of dissolutions n=Qo / Ve1;

[0106] According to the operation flow of the PAM solution preparation equipment, operations such as loading, dissolving, and solution transfer are performed until the configuration of the PAM solution is completed.

[0107] Dosing and dosage calculation:

[0108] The PAM dosage to be used in calculation is Ue1=Me1*k;

[0109] Calculate the volume of PAM solution added: Qe1=Ue1 / (1000CPAM);

[0110] After obtaining relevant data, the PAM storage bin dosing electric valve is opened, the PAM storage bin dosing metering pump is running, and the sludge mixing tank agitator is running at the same time, until the dosing flow meter dosing amount reaches Qe1, the PAM storage bin dosing metering pump is stopped, and the PAM storage bin dosing electric valve is closed. The dosing speed of the PAM storage bin dosing metering pump, the speed of the sludge mixing tank agitator, and the operation mode are optimized and extracted according to the PAM type, supplier recommendations, and historical records.

[0111] After the mixing of the liquid sludge mixed with the PAM solution is completed, the mud outlet valve of the sludge mixing tank is opened, the mud outlet screw pump of the sludge mixing tank is started, and the sludge is pumped into the sludge dewatering machine until the dehydration sends a stop signal or the water level measured by the sludge mixing tank water level gauge is lower than the operating water level, the mud outlet screw pump of the sludge mixing tank stops running, and the mud outlet valve of the sludge mixing tank is closed. After the sludge is treated by the sludge dewatering machine, the mud cake mass is Be1 and the water content is Fe1.

[0112] The sludge treated according to the above-mentioned target agent dosing scheme has a water content of 62%, close to the target water content; the sludge treatment cost is significantly reduced, and the equipment runs smoothly without obvious abnormalities. The technical effects of reducing drug consumption, reducing sludge water content and sludge volume, and improving sludge treatment efficiency are achieved, while the automation level of the water plant is improved, the workload of operators is reduced, and the stability of water plant system operation is improved, thereby promoting the transformation of water plant operations from experience management to intelligent and refined management mode.

[0113] like Figure 2 As shown, an embodiment of the present invention further provides a target agent treatment device 20 in a water treatment process, comprising:

[0114] An acquisition module 21 is used to acquire basic data of a target water treatment device;

[0115] The processing module 22 is used to determine a plurality of alternative agent dosing schemes according to the basic data, wherein the agent dosing schemes include: a target agent dosing ratio, a target agent solution concentration and a sludge treatment time interval; obtain a fitness function; according to the fitness function, process the plurality of alternative agent dosing schemes to obtain a target agent dosing scheme; according to the target agent dosing scheme, control the target water treatment equipment to treat the sludge.

[0116] Optionally, multiple alternative drug administration schemes are determined based on the basic data, including:

[0117] Determine, based on the basic data, a first value range of the target reagent dosage ratio, a second value range of the target reagent solution concentration, and a third value range of the sludge treatment time interval;

[0118] Randomly generate a plurality of optional target agent dosage ratios, target agent solution concentrations and sludge treatment time intervals within the first value range, the second value range and the third value range;

[0119] The multiple optional target agent dosage ratios, target agent solution concentrations and sludge treatment time intervals are combined to obtain multiple alternative agent dosage schemes.

[0120] Optionally, obtain the fitness function, including:

[0121] Obtaining the sludge treatment cost according to the target agent dosage ratio, the target agent solution concentration and the sludge treatment time interval;

[0122] Obtaining the sludge treatment effect according to the target agent dosage ratio, the target agent solution concentration and the sludge treatment time interval;

[0123] According to the sludge treatment cost and the sludge treatment effect, a fitness function is obtained; the fitness function is: , where Fitness is fitness, Effect is sludge treatment effect, Cost is total The cost of sludge treatment.

[0124] Optionally, the sludge treatment cost is obtained according to the target agent dosage ratio, the target agent solution concentration and the sludge treatment time interval, including:

[0125] Determining a target drug cost according to the target drug dosage ratio;

[0126] According to the target reagent addition ratio, the target reagent solution concentration and the sludge treatment time interval, determine the running time of the sludge mixing tank agitator, the power of the sludge mixing tank agitator, the target reagent solution maturation time, the target reagent solution maturation equipment power, the running time of the sludge dewatering machine, and the running power of the sludge dewatering machine;

[0127] Determine the equipment operation cost according to the running time of the sludge mixing tank agitator, the power of the sludge mixing tank agitator, the target reagent solution maturation time, the power of the target reagent solution maturation equipment, the running time of the sludge dewatering machine, and the running power of the sludge dewatering machine;

[0128] The sludge treatment cost is obtained according to the target reagent cost and equipment operation cost.

[0129] Optionally, the sludge treatment effect is obtained according to the target agent dosage ratio, the target agent solution concentration and the sludge treatment time interval, including:

[0130] Determining the moisture content of the sludge after treatment according to the target agent dosage ratio, the target agent solution concentration and the sludge treatment time interval;

[0131] The sludge treatment effect is obtained according to the sludge moisture content after treatment and the target moisture content.

[0132] Optionally, the plurality of candidate drug dosing schemes are processed according to the fitness function to obtain a target drug dosing scheme, including:

[0133] Determining the fitness of each alternative agent dosing scheme according to the fitness function;

[0134] According to the fitness, selecting a plurality of genetic individuals for iteration from a plurality of alternative drug administration schemes;

[0135] Performing a round of iteration on the multiple genetic individuals to obtain offspring individuals;

[0136] According to the fitness of the offspring individuals, multiple rounds of iterations are repeated on the offspring individuals until a preset number of iterations is reached to obtain a target drug dosing plan.

[0137] Optionally, performing a round of iteration on the plurality of genetic individuals to obtain offspring individuals includes:

[0138] Randomly selecting two individuals from the multiple genetic individuals to perform crossover to obtain crossover individuals;

[0139] The crossover individuals are mutated within the first value range, the second value range and the third value range according to the mutation probability to obtain offspring individuals.

[0140] It should be noted that the device is a device corresponding to the above method, and all implementation methods in the above method embodiments are applicable to the embodiments of the device and can achieve the same technical effects.

[0141] The embodiment of the present invention further provides a computing device, comprising: a processor, a memory storing a computer program, wherein when the computer program is executed by the processor, the method described above is executed. All implementations in the above method embodiment are applicable to this embodiment and can achieve the same technical effect.

[0142] The embodiment of the present invention further provides a computer-readable storage medium storing instructions, which, when executed on a computer, enable the computer to execute the above method. All implementations in the above method embodiment are applicable to this embodiment and can achieve the same technical effect.

[0143] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0144] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0145] In the embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0146] 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 on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0147] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0148] If the functions are 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 this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, ROM, RAM, magnetic disks, or optical disks.

[0149] In addition, it should be pointed out that in the apparatus and method of the present invention, it is obvious that each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations should be regarded as equivalent schemes of the present invention. Moreover, the steps of performing the above series of processing can naturally be performed in chronological order according to the order of description, but it is not necessary to perform them in chronological order, and some steps can be performed in parallel or independently of each other. For those of ordinary skill in the art, it is understandable that all or any steps or components of the method and apparatus of the present invention can be implemented in hardware, firmware, software or a combination thereof in any computing device (including processors, storage media, etc.) or a network of computing devices, which can be achieved by those of ordinary skill in the art using their basic programming skills after reading the description of the present invention.

[0150] Therefore, the purpose of the present invention can also be achieved by running a program or a group of programs on any computing device. The computing device can be a well-known general device. Therefore, the purpose of the present invention can also be achieved by simply providing a program product containing a program code that implements the method or device. That is to say, such a program product also constitutes the present invention, and the storage medium storing such a program product also constitutes the present invention. Obviously, the storage medium can be any well-known storage medium or any storage medium developed in the future. It should also be pointed out that in the device and method of the present invention, it is obvious that each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations should be regarded as equivalent schemes of the present invention. In addition, the steps of performing the above-mentioned series of processing can naturally be performed in chronological order according to the order of description, but it is not necessary to perform them in chronological order. Some steps can be performed in parallel or independently of each other.

[0151] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for treating a target agent in a water treatment process, characterized in that: include: Obtain basic data of target water treatment equipment; Determine a plurality of alternative reagent dosing schemes according to the basic data, wherein the reagent dosing schemes include: a target reagent dosing ratio, a target reagent solution concentration, and a sludge treatment time interval; Get the fitness function; According to the fitness function, the plurality of candidate drug dosing schemes are processed to obtain a target drug dosing scheme; According to the target reagent dosing scheme, the target water treatment equipment is controlled to treat the sludge.

2. The method for treating target reagents in water treatment according to claim 1, characterized in that: Based on the basic data, multiple alternative drug dosing schemes are determined, including: Determine, based on the basic data, a first value range of the target reagent dosage ratio, a second value range of the target reagent solution concentration, and a third value range of the sludge treatment time interval; Randomly generate a plurality of optional target agent dosage ratios, target agent solution concentrations and sludge treatment time intervals within the first value range, the second value range and the third value range; The multiple optional target agent dosage ratios, target agent solution concentrations and sludge treatment time intervals are combined to obtain multiple alternative agent dosage schemes.

3. The method for treating target reagents in a water treatment process according to claim 1, characterized in that: Get the fitness function, including: Obtaining the sludge treatment cost according to the target agent dosage ratio, the target agent solution concentration and the sludge treatment time interval; Obtaining the sludge treatment effect according to the target agent dosage ratio, the target agent solution concentration and the sludge treatment time interval; According to the sludge treatment cost and the sludge treatment effect, a fitness function is obtained; the fitness function is: , where Fitness is fitness, Effect is sludge treatment effect, Cost is total The cost of sludge treatment.

4. The method for treating a target agent in a water treatment process according to claim 3, characterized in that: According to the target reagent dosage ratio, target reagent solution concentration and sludge treatment time interval, the sludge treatment cost is obtained, including: Determining a target drug cost according to the target drug dosage ratio; According to the target reagent addition ratio, the target reagent solution concentration and the sludge treatment time interval, determine the running time of the sludge mixing tank agitator, the power of the sludge mixing tank agitator, the target reagent solution maturation time, the target reagent solution maturation equipment power, the running time of the sludge dewatering machine, and the running power of the sludge dewatering machine; Determine the equipment operation cost according to the running time of the sludge mixing tank agitator, the power of the sludge mixing tank agitator, the target reagent solution maturation time, the power of the target reagent solution maturation equipment, the running time of the sludge dewatering machine, and the running power of the sludge dewatering machine; The sludge treatment cost is obtained according to the target reagent cost and equipment operation cost.

5. The method for treating target reagents in a water treatment process according to claim 3, characterized in that: According to the target reagent dosage ratio, target reagent solution concentration and sludge treatment time interval, the sludge treatment effect is obtained, including: Determining the moisture content of the sludge after treatment according to the target agent dosage ratio, the target agent solution concentration and the sludge treatment time interval; The sludge treatment effect is obtained according to the sludge moisture content after treatment and the target moisture content.

6. The method for treating target reagents in a water treatment process according to claim 1, characterized in that: According to the fitness function, the plurality of candidate drug dosing schemes are processed to obtain a target drug dosing scheme, including: Determining the fitness of each alternative agent dosing scheme according to the fitness function; According to the fitness, selecting a plurality of genetic individuals for iteration from a plurality of alternative drug administration schemes; Performing a round of iteration on the multiple genetic individuals to obtain offspring individuals; According to the fitness of the offspring individuals, multiple rounds of iterations are repeated on the offspring individuals until a preset number of iterations is reached to obtain a target drug dosing plan.

7. The method for treating a target agent in a water treatment process according to claim 6, characterized in that: Performing a round of iteration on the plurality of genetic individuals to obtain offspring individuals, including: Randomly selecting two individuals from the multiple genetic individuals to perform crossover to obtain crossover individuals; The crossover individuals are mutated within the first value range, the second value range and the third value range according to the mutation probability to obtain offspring individuals.

8. A target agent treatment device in a water treatment process, characterized in that: include: An acquisition module, used to acquire basic data of target water treatment equipment; A processing module is used to determine multiple alternative agent addition schemes based on the basic data, and the agent addition schemes include: a target agent addition ratio, a target agent solution concentration and a sludge treatment time interval; obtain a fitness function; according to the fitness function, process the multiple alternative agent addition schemes to obtain a target agent addition scheme; according to the target agent addition scheme, control the target water treatment equipment to treat the sludge.

9. A computing device, characterized in that include: A processor and a memory storing a computer program, wherein when the computer program is executed by the processor, the method according to any one of claims 1 to 7 is performed.

10. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are executed on a computer, the computer is caused to execute the method according to any one of claims 1 to 7.

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