CN113743663A - Water network water treatment method, device, terminal and storage medium - Google Patents

Water network water treatment method, device, terminal and storage medium Download PDF

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CN113743663A
CN113743663A CN202111030481.7A CN202111030481A CN113743663A CN 113743663 A CN113743663 A CN 113743663A CN 202111030481 A CN202111030481 A CN 202111030481A CN 113743663 A CN113743663 A CN 113743663A
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water
unit
sewage
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contaminant
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CN113743663B (en
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高燕宁
刘克成
郭晓玲
王颖楠
周慧波
张立军
宫云茜
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State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Hebei Electric Power Co Ltd
State Grid Hebei Energy Technology Service Co Ltd
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Electric Power Research Institute of State Grid Hebei Electric Power Co Ltd
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Abstract

The invention provides a water use network water use treatment method, a water use network water use treatment device, a water use network water use terminal and a storage medium. The water using network comprises a plurality of water using units and a plurality of sewage treatment units; the method comprises the following steps: acquiring input parameters of each water using unit, output parameters of each water using unit and output parameters of each sewage treatment unit; determining a water use treatment model of the water use network by taking the minimum net water consumption and the minimum sewage treatment cost as targets according to the input parameters of each water use unit, the output parameters of each sewage treatment unit and given parameters; and solving the water use treatment model by using a swarm algorithm to obtain the control parameters of the water use network, and controlling the water use network according to the control parameters. The invention can reduce the use cost of the water network.

Description

Water network water treatment method, device, terminal and storage medium
Technical Field
The invention relates to the technical field of water treatment of a water network, in particular to a water treatment method, a water treatment device, a water treatment terminal and a storage medium of the water network.
Background
In order to strictly control the use of water resources, most regions require industrial production to recover and recycle as much as possible the waste water produced during the production process. The main consideration regarding the reuse of waste water is the reuse of waste water in the individual units of the entire water network, depending on the water quality, the water quantity requirements and the variation of the pollutant concentration of the discharged waste water for each water unit, the prior art mostly considers the efficiency of the reuse of waste water in the water network.
However, considering only the wastewater reuse efficiency of the water network is not comprehensive enough, which may result in the increase of the use cost of the water network.
Disclosure of Invention
The embodiment of the invention provides a method, a device, a terminal and a storage medium for treating water consumption of a water consumption network, which aim to solve the problem that the use cost of the water consumption network is possibly increased in the prior art.
In a first aspect, an embodiment of the present invention provides a method for treating water using a water network, where the water network includes a plurality of water using units and a plurality of sewage treating units; each water using unit is used for receiving externally inflowing purified water and recycled wastewater treated by the corresponding sewage treatment unit, and is used for discharging the qualified sewage to the sewage discharge point and discharging the mixed wastewater to the sewage mixing point; each sewage treatment unit is used for treating mixed wastewater of a sewage mixing point; the method comprises the following steps:
acquiring input parameters of each water using unit, output parameters of each water using unit and output parameters of each sewage treatment unit;
determining a water use treatment model of the water use network by taking the minimum net water consumption and the minimum sewage treatment cost as targets according to the input parameters of each water use unit, the output parameters of each sewage treatment unit and given parameters;
and solving the water use treatment model by using a swarm algorithm to obtain the control parameters of the water use network, and controlling the water use network according to the control parameters.
In one possible implementation, the water treatment model includes an objective function and a plurality of constraints.
In one possible implementation, the plurality of constraints include:
flow rate balance constraint conditions of the sewage treatment unit:
Figure BDA0003245048080000021
wherein, TjFor mixing the flow rate of wastewater to the wastewater treatment unit j, Fj,iThe flow rate of the sewage treatment unit j to the water using unit i, and n is the number of the water using units;
balance constraints with water unit flow rate:
Figure BDA0003245048080000022
wherein, wiFor the amount of purified water flowing to the water-consuming unit i, OiFor the discharge flow rate of the water unit i to the sewage mixing point, LiIs the flow rate of the water using unit i to the sewage discharge point;
and (3) using water network in-out balance constraint conditions:
Figure BDA0003245048080000023
pollutant mass balance constraint conditions:
Figure BDA0003245048080000024
wherein, Δ mi,kThe mass of the pollutant k discharged per unit time with the water unit i,
Figure BDA0003245048080000025
to the concentration of the contaminant k leaving the water use unit i,
Figure BDA0003245048080000026
concentration of contaminant k into the Sewage treatment Unit j, Rj,kThe removal rate of the pollutant k by the sewage treatment unit J, wherein I is a set of water using units, and J is a set of sewage treatment units;
constraint for limitation of the concentration of contaminant k in the water stream entering water use unit i:
Figure BDA0003245048080000031
wherein the content of the first and second substances,
Figure BDA0003245048080000032
to determine the concentration of contaminant k entering the water use cell i,
Figure BDA0003245048080000033
to determine the concentration of contaminant k leaving the wastewater treatment unit j,
Figure BDA0003245048080000034
for maximum concentration limit of contaminant k in the water stream entering the water use unit, m is the sewageThe number of physical units;
constraint for limitation of the concentration of contaminant k in the water stream leaving water unit i:
Figure BDA0003245048080000035
wherein the content of the first and second substances,
Figure BDA0003245048080000036
is the maximum concentration limit of contaminant k in the wastewater discharged by water unit i;
constraint for limitation of the concentration of contaminant k in the water stream entering the wastewater treatment unit j:
Figure BDA0003245048080000037
wherein the content of the first and second substances,
Figure BDA0003245048080000038
is the maximum concentration limit of contaminant k entering the wastewater treatment unit j; and the number of the first and second groups,
constraint for limitation of the concentration of contaminant k in the water stream leaving the sewage treatment unit j:
Figure BDA0003245048080000039
wherein the content of the first and second substances,
Figure BDA00032450480800000310
to determine the concentration of contaminant k leaving the wastewater treatment unit j,
Figure BDA00032450480800000311
is the maximum concentration limit of contaminant k leaving the sewage treatment unit j.
In one possible implementation, the concentration of contaminant k entering the wastewater treatment unit j
Figure BDA00032450480800000312
Expressed as:
Figure BDA00032450480800000313
concentration of contaminant k leaving the Sewage treatment Unit j
Figure BDA00032450480800000314
Expressed as:
Figure BDA00032450480800000315
concentration of contaminant k entering Water Unit i
Figure BDA00032450480800000316
Expressed as:
Figure BDA0003245048080000041
wherein the content of the first and second substances,
Figure BDA0003245048080000042
is the concentration of the contaminant entering the sewage treatment unit;
concentration of contaminant k leaving water use unit i
Figure BDA0003245048080000043
Expressed as:
Figure BDA0003245048080000044
in one possible implementation, the objective function is:
Figure BDA0003245048080000045
wherein the content of the first and second substances,z is an objective function, alpha is the weight between the amount of purified water and the cost of sewage treatment, OiFor the discharge flow rate of the water unit i to the sewage mixing point, TjFor mixing the flow rate of wastewater to the wastewater treatment unit j, Sj,iThe treatment cost of the pollutant k for the jth sewage treatment unit.
In one possible implementation, the control parameters include a weight between the amount of clean water used and the cost of wastewater treatment, a flow rate of the water using unit to the wastewater mixing point, and a flow rate of the mixed wastewater to the wastewater treatment unit.
In a second aspect, the water network comprises a plurality of water usage units and a plurality of sewage treatment units; each water using unit is used for receiving externally inflowing purified water and recycled wastewater treated by the corresponding sewage treatment unit, and is used for discharging the qualified sewage to the sewage discharge point and discharging the mixed wastewater to the sewage mixing point; each sewage treatment unit is used for treating mixed wastewater of a sewage mixing point; the embodiment of the invention provides a water treatment device for a water network, which comprises:
the acquisition module is used for acquiring the input parameters of each water using unit, the output parameters of each water using unit and the output parameters of each sewage treatment unit;
the calculation module is used for determining a water use treatment model of the water use network by taking the minimum net water consumption and the minimum sewage treatment cost as targets according to the input parameters of each water use unit, the output parameters of each sewage treatment unit and given parameters;
and the control module is used for solving the water use treatment model by utilizing a bee colony algorithm to obtain the control parameters of the water use network and controlling the water use network according to the control parameters.
In one possible implementation, in the calculation module, the water treatment model includes an objective function and a plurality of constraints.
In a third aspect, an embodiment of the present invention provides a terminal, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the computer program to implement the steps of the water treatment method for the water network according to the first aspect or any one of the possible implementations of the first aspect.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the computer program implements the steps of the water treatment method for the water network according to the first aspect or any one of the possible implementations of the first aspect.
The embodiment of the invention provides a water using network water using method, a device, a terminal and a storage medium, wherein the input parameters of each water using unit, the output parameters of each water using unit and the output parameters of each sewage treatment unit are obtained; determining a water use treatment model of the water use network by taking the minimum net water consumption and the minimum sewage treatment cost as targets according to the input parameters of each water use unit, the output parameters of each sewage treatment unit and given parameters; and solving the water use treatment model by using a swarm algorithm to obtain the control parameters of the water use network, and controlling the water use network according to the control parameters. The water use model is established by utilizing multiple parameters of the water use network and aiming at the minimum water purification consumption and the minimum sewage treatment cost, the state of the water use network can be comprehensively reflected, the water use model is solved by utilizing the swarm algorithm, and relevant parameters can be obtained so as to control the minimum water purification consumption and the minimum sewage treatment cost of the water use network, thereby reducing the use cost of the water use network.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
FIG. 1 is a flow chart of an implementation of a method for treating water using a water network according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a water network provided by an embodiment of the present invention;
FIG. 3 is a schematic diagram of a water treatment device for a water network according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a terminal according to an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
In order to make the objects, technical solutions and advantages of the present invention more apparent, the following description is made by way of specific embodiments with reference to the accompanying drawings.
Referring to fig. 1, it shows a flow chart of a water treatment method for a water network according to an embodiment of the present invention. As shown in FIG. 1, a method for treating water using a water network, the water network comprising a plurality of water using units and a plurality of sewage treating units; each water using unit is used for receiving externally inflowing purified water and recycled wastewater treated by the corresponding sewage treatment unit, and is used for discharging the qualified sewage to the sewage discharge point and discharging the mixed wastewater to the sewage mixing point; the method comprises the following steps:
s101, acquiring input parameters of each water using unit, output parameters of each water using unit and output parameters of each sewage treatment unit.
Optionally, referring to fig. 2, a schematic diagram of a water network provided by an embodiment of the present invention is shown. As shown in fig. 2, a water network includes a water using unit 1, a water using unit 2, a water using unit 3, a water using unit 4, a sewage treating unit 1, a sewage treating unit 2, a sewage treating unit 3, and a sewage treating unit 4.
The water using unit 1 and the sewage treatment unit 1 are taken as examples for explanation:
for the water use unit, the water source comprises a sewage treatment unit and clean water, and all water streams are mixed and enter the water inlet of the water use unit. The concentration of at least one pollutant in the water flow at the water outlet of the water using unit is increased, and then the water flow is divided into two flows, one flow flows to a sewage discharge point to be discharged, and the other flow enters a sewage mixing point to be mixed with the effluent of other water using units and then flows to a sewage treatment unit.
The input of the instant water unit 1 can have two sources, one is clean water W1 from the outside, and the other is recycled wastewater treated by the sewage treatment unit 1; the output of the water unit 1 has two points, one for discharging the compliant sewage to the sewage discharge point O1 and the other for discharging the mixed wastewater to the sewage mixing point.
For the sewage treatment units, the water inlet sources of all the sewage treatment units are mixed wastewater. The concentration of water inlet pollutants is the same for all sewage treatment units, but the amount of water treated by each sewage treatment unit and the treatment cost for each pollutant are different.
The sewage treatment unit 1 receives the mixed wastewater from the sewage mixing point, treats the mixed wastewater, and then conveys the treated mixed wastewater to the water unit 1 for reuse. The sewage treatment unit 1 and the water utilization unit 1 can correspond to each other, or a plurality of sewage treatment units can concentrate all the recycled wastewater together and then shunt the wastewater to a plurality of water utilization units, and the selection can be carried out according to the actual situation.
In practical applications, the water flow entering the water using unit has a limit on the concentration of impurities, and the concentration of impurities increases after the water flow passes through the water using unit. The water unit outlet can be split into two streams, one stream to the drainage point and the other to the sewage mixing point. The sewage is divided into m streams at the sewage mixing point after being mixed and flows to m sewage treatment units respectively. After the sewage is treated by the sewage treatment unit, the sewage is mixed with purified water to reach the use standard of a water using unit, and then the next cycle is carried out.
And S102, determining a water use treatment model of the water use network by taking the minimum net water consumption and the minimum sewage treatment cost as targets according to the input parameters of each water use unit, the output parameters of each sewage treatment unit and given parameters.
Optionally, the input parameter of the water using unit, the output parameter of the water using unit, and the output parameter of the sewage treatment unit may reflect the dynamic change of water flow of the water using network to some extent.
S103, solving the water use treatment model by using a swarm algorithm to obtain control parameters of the water use network, and controlling the water use network according to the control parameters.
Optionally, the control parameters of the water use network can be solved by solving the water use treatment model, and the control parameters can control the water flow change, flow rate and the like of the water use network, so that the minimum water purification amount and the minimum sewage treatment cost of the water use network are finally achieved. Although the water flow is dynamically changed in the analysis process, the flow and the pollutant concentration of the same water strand in unit time are unchanged after the water treatment model is actually solved, which is consistent with the actual situation.
The embodiment of the invention obtains the input parameters of each water using unit, the output parameters of each water using unit and the output parameters of each sewage treatment unit; determining a water use treatment model of the water use network by taking the minimum net water consumption and the minimum sewage treatment cost as targets according to the input parameters of each water use unit, the output parameters of each sewage treatment unit and given parameters; and solving the water use treatment model by using a swarm algorithm to obtain the control parameters of the water use network, and controlling the water use network according to the control parameters. The water use model is established by utilizing multiple parameters of the water use network and aiming at the minimum water purification consumption and the minimum sewage treatment cost, the state of the water use network can be comprehensively reflected, the water use model is solved by utilizing the swarm algorithm, and relevant parameters can be obtained so as to control the minimum water purification consumption and the minimum sewage treatment cost of the water use network, thereby reducing the use cost of the water use network.
In some embodiments of the present invention, the water treatment model includes an objective function and a plurality of constraints.
Optionally, the objective function may be calculated by using a swarm algorithm, in which each food source is a solution to a problem, and therefore, a feasible solution to the problem is obtained each time a new honey source is obtained. Here, the profitability may be defined as the inverse of the objective function, and the higher the profitability, the smaller the objective function value of the model. The following were used:
Figure BDA0003245048080000081
wherein Z isiThe value of the objective function for the ith solution, fiThe profit is obtained.
According to the income degree of the food source, a greedy mechanism is adopted, and the selection probability is set as:
Figure BDA0003245048080000082
wherein n is the number of water using units.
The algorithm steps can be as follows:
step 1: initializing, wherein all dense bees are scout bees;
step 2: calculating the income degree of the food source;
step 3: selecting a food source for field search by adopting a greedy algorithm;
step 4: determining a search field;
step 5: using a roulette method to recruit following bees to search honey sources nearby;
step 6: reserving a solution with the highest profitability in each search field;
step 7: continuously searching in the field, and recording the optimal solution until the cycle number of the honey source reaches the maximum;
step 8: bees around the abandoned honey source randomly search for a new food source in the whole feasible domain;
step 9: and forming a new scout bee colony until the whole cycle number reaches the maximum.
The water treatment model is solved by utilizing the swarm algorithm, so that the control parameters can be rapidly calculated, the obtained control parameters are approximate to the optimal control parameters, the control efficiency of the water use network can be improved, and the control cost of the water use network can be reduced.
For swarm algorithm, bees are a social insect population, and the swarm can complete very complicated work, such as the process of searching food. The bee colony firstly sends out scout bees to search for food sources, and then selects and updates the food sources according to the food source information brought back by the scout bees. At the beginning of the foraging process, all bees are scout bees that are sent to search all possible food sources. During the search, scout bees are constantly flying from one food source to another. Even during the harvest season, the colony will send a certain number of scout bees to randomly search for food sources. When scout bees find that the profitability of the food source (such as the sugar content) exceeds a certain amount, they return to the hive, discharge the honey and "rock" in the dance area. Magical "waggle" is a necessary tool for bee colonies to communicate information, enabling the entire bee colony to know which food sources are relatively profitable and their orientation. The reconnaissance bee after dancing takes the following bee outside the bee nest to fly to the corresponding food source for honey collection, and more following bees will fly to the food source with high profitability for honey collection.
At the time of honey collection, bees must evaluate the profitability of the food source they are collecting, because when returning to the hive, they take off the honey and then "rock" in the dance area, giving the fellow partner information on the profitability of the current food source. If the food source profitability is still high, more bees will be recruited to follow to honey. If the food source earnings are low, the current food source will be abandoned as a follower bee or a scout bee. The bee colony algorithm is a clustering algorithm simulating living beings according to the principle.
The leading bee has the function of keeping good food source and has the characteristics of elite; the number of bees corresponding to a better food source is increased along with the bees, and the convergence of the algorithm is accelerated; the reconnaissance bees search new food sources at will to help the algorithm jump out of local optimality.
In some embodiments of the invention, the plurality of constraints comprises:
flow rate balance constraint conditions of the sewage treatment unit:
Figure BDA0003245048080000101
wherein, TjFor mixing the flow rate of wastewater to the wastewater treatment unit j, Fj,iThe flow rate of the sewage treatment unit j to the water using unit i, and n is the number of the water using units;
balance constraints with water unit flow rate:
Figure BDA0003245048080000102
wherein, wiFor the amount of purified water flowing to the water-consuming unit i, OiFor the discharge flow rate of the water unit i to the sewage mixing point, LiIs the flow rate of the water using unit i to the sewage discharge point;
and (3) using water network in-out balance constraint conditions:
Figure BDA0003245048080000103
pollutant mass balance constraint conditions:
Figure BDA0003245048080000104
wherein, Δ mi,kThe mass of the pollutant k discharged per unit time with the water unit i,
Figure BDA0003245048080000105
to the concentration of the contaminant k leaving the water use unit i,
Figure BDA0003245048080000106
concentration of contaminant k into the Sewage treatment Unit j, Rj,kThe removal rate of the pollutant k by the sewage treatment unit J, wherein I is a set of water using units, and J is a set of sewage treatment units;
constraint for limitation of the concentration of contaminant k in the water stream entering water use unit i:
Figure BDA0003245048080000107
wherein the content of the first and second substances,
Figure BDA0003245048080000108
to determine the concentration of contaminant k entering the water use cell i,
Figure BDA0003245048080000109
to determine the concentration of contaminant k leaving the wastewater treatment unit j,
Figure BDA00032450480800001010
m is the number of sewage treatment units for the maximum concentration limit of the pollutant k in the water flow entering the water using unit;
constraint for limitation of the concentration of contaminant k in the water stream leaving water unit i:
Figure BDA0003245048080000111
wherein the content of the first and second substances,
Figure BDA0003245048080000112
is the maximum concentration limit of contaminant k in the wastewater discharged by water unit i;
constraint for limitation of the concentration of contaminant k in the water stream entering the wastewater treatment unit j:
Figure BDA0003245048080000113
wherein the content of the first and second substances,
Figure BDA0003245048080000114
is the maximum concentration limit of contaminant k entering the wastewater treatment unit j; and the number of the first and second groups,
constraint for limitation of the concentration of contaminant k in the water stream leaving the sewage treatment unit j:
Figure BDA0003245048080000115
wherein the content of the first and second substances,
Figure BDA0003245048080000116
to determine the concentration of contaminant k leaving the wastewater treatment unit j,
Figure BDA0003245048080000117
is the maximum concentration limit of contaminant k leaving the sewage treatment unit j.
Optionally, the given parameters may include: removal rate R of pollutant k by sewage treatment unit jj,kMaximum concentration limit of contaminant k in water stream entering water use unit
Figure BDA0003245048080000118
Maximum concentration limit of contaminant k in the wastewater discharged from water unit i
Figure BDA0003245048080000119
Maximum concentration limit of contaminant k entering Sewage treatment Unit j
Figure BDA00032450480800001110
Maximum concentration limit of contaminant k leaving the wastewater treatment unit j
Figure BDA00032450480800001111
And the like.
The input parameters of the water usage unit may include: the amount w of purified water flowing to the water unit iiAnd the like.
The output parameters of the water usage unit may include: flow rate L of water discharged to sewage discharge point by water unit iiFlow rate O of water unit i to the mixing point of the sewageiAnd the like.
The output parameters of the sewage treatment unit may include: flow rate F from sewage treatment unit j to water consumption unit ij,iAnd the like.
Also parameters, such as the concentration of contaminant k entering the water use cell i
Figure BDA00032450480800001112
Concentration of contaminant k leaving the Sewage treatment Unit j
Figure BDA00032450480800001113
Concentration of contaminant k leaving water use unit i
Figure BDA00032450480800001114
Etc. can be deduced from known parameters.
In some embodiments of the invention, the concentration of contaminant k entering wastewater treatment unit j
Figure BDA00032450480800001115
Can be expressed as:
Figure BDA0003245048080000121
concentration of contaminant k leaving the Sewage treatment Unit j
Figure BDA0003245048080000122
Can be expressed as:
Figure BDA0003245048080000123
concentration of contaminant k entering Water Unit i
Figure BDA0003245048080000124
Can be expressed as:
Figure BDA0003245048080000125
wherein the content of the first and second substances,
Figure BDA0003245048080000126
is the concentration of the contaminant entering the wastewater treatment unit j;
concentration of contaminant k leaving water use unit i
Figure BDA0003245048080000127
Can be expressed as:
Figure BDA0003245048080000128
alternatively, the mass conservation can be based on the contaminant, and the mass conservation can be expressed by an independent variable and a known quantity
Figure BDA0003245048080000129
Reuse of
Figure BDA00032450480800001210
More amounts are expressed.
In some embodiments of the invention, the objective function is:
Figure BDA00032450480800001211
wherein Z is an objective function, alpha is the weight between the amount of purified water and the cost of sewage treatment, and OiFor the discharge flow rate of the water unit i to the sewage mixing point, TjFor mixing the flow rate of wastewater to the wastewater treatment unit j, Sj,iThe treatment cost of the pollutant k for the jth sewage treatment unit.
Optionally, α is a weight, representing a preference for clean water usage or a preference for wastewater treatment costs.
Optionally, the water treatment model of the embodiment of the present invention may be expressed as:
Figure BDA00032450480800001212
s.t.
Figure BDA0003245048080000131
Figure BDA0003245048080000132
Figure BDA0003245048080000133
Figure BDA0003245048080000134
Figure BDA0003245048080000135
Figure BDA0003245048080000136
Figure BDA0003245048080000137
Figure BDA0003245048080000138
in some embodiments of the invention, the control parameters include a weight between the amount of clean water used and the cost of wastewater treatment, a flow rate of the water unit to the wastewater mixing point, and a flow rate of the mixed wastewater to the wastewater treatment unit.
The embodiment of the invention aims at the multi-impurity industrial water network, and considers the overall optimization of the water utilization unit and the sewage treatment unit. Aiming at the situation, a water treatment model of a water network for industrial water is established, and the water treatment model is solved by utilizing a bee colony algorithm, so that the minimum water purification amount and the minimum sewage treatment cost are realized quickly and at low cost, and industrial water saving is realized.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
The following are embodiments of the apparatus of the invention, reference being made to the corresponding method embodiments described above for details which are not described in detail therein.
Fig. 3 is a schematic structural diagram of a water treatment device of a water network according to an embodiment of the present invention, and for convenience of description, only the parts related to the embodiment of the present invention are shown, and detailed descriptions are as follows:
as shown in fig. 3, a water treatment apparatus 20 for a water network comprising a plurality of water use units and a plurality of sewage treatment units; each water using unit is used for receiving externally inflowing purified water and recycled wastewater treated by the corresponding sewage treatment unit, and is used for discharging the qualified sewage to the sewage discharge point and discharging the mixed wastewater to the sewage mixing point; each sewage treatment unit is used for treating mixed wastewater of a sewage mixing point; the apparatus 20 may include:
an obtaining module 201, configured to obtain an input parameter of each water using unit, an output parameter of each water using unit, and an output parameter of each sewage processing unit;
a calculation module 202, configured to determine a water usage model of the water usage network according to the input parameter of each water usage unit, the output parameter of each sewage treatment unit, and the given parameter, with the minimum amount of purified water and the minimum sewage treatment cost as targets;
and the control module 203 is used for solving the water use processing model by utilizing the swarm algorithm to obtain the control parameters of the water use network and controlling the water use network according to the control parameters.
In some embodiments of the present invention, in the calculation module 202, the water treatment model includes an objective function and a plurality of constraints.
In some embodiments of the invention, the plurality of constraints comprises:
flow rate balance constraint conditions of the sewage treatment unit:
Figure BDA0003245048080000141
wherein, TjFor mixing the flow rate of wastewater to the wastewater treatment unit j, Fj,iThe flow rate of the sewage treatment unit j to the water using unit i, and n is the number of the water using units;
balance constraints with water unit flow rate:
Figure BDA0003245048080000142
wherein, wiFor the amount of purified water flowing to the water-consuming unit i, OiFor the discharge flow rate of the water unit i to the sewage mixing point, LiIs the flow rate of the water using unit i to the sewage discharge point;
and (3) using water network in-out balance constraint conditions:
Figure BDA0003245048080000151
pollutant mass balance constraint conditions:
Figure BDA0003245048080000152
wherein, Δ mi,kThe mass of the pollutant k discharged per unit time with the water unit i,
Figure BDA0003245048080000153
to the concentration of the contaminant k leaving the water use unit i,
Figure BDA0003245048080000154
concentration of contaminant k into the Sewage treatment Unit j, Rj,kThe removal rate of the pollutant k by a sewage treatment unit J, wherein I is a set of water using units, and J is sewageA set of processing units;
constraint for limitation of the concentration of contaminant k in the water stream entering water use unit i:
Figure BDA0003245048080000155
wherein the content of the first and second substances,
Figure BDA0003245048080000156
to determine the concentration of contaminant k entering the water use cell i,
Figure BDA0003245048080000157
to determine the concentration of contaminant k leaving the wastewater treatment unit j,
Figure BDA0003245048080000158
m is the number of sewage treatment units for the maximum concentration limit of the pollutant k in the water flow entering the water using unit;
constraint for limitation of the concentration of contaminant k in the water stream leaving water unit i:
Figure BDA0003245048080000159
wherein the content of the first and second substances,
Figure BDA00032450480800001510
is the maximum concentration limit of contaminant k in the wastewater discharged by water unit i;
constraint for limitation of the concentration of contaminant k in the water stream entering the wastewater treatment unit j:
Figure BDA00032450480800001511
wherein the content of the first and second substances,
Figure BDA00032450480800001512
to the maximum concentration of contaminant k entering the wastewater treatment unit jLimiting; and the number of the first and second groups,
constraint for limitation of the concentration of contaminant k in the water stream leaving the sewage treatment unit j:
Figure BDA00032450480800001513
wherein the content of the first and second substances,
Figure BDA00032450480800001514
to determine the concentration of contaminant k leaving the wastewater treatment unit j,
Figure BDA00032450480800001515
is the maximum concentration limit of contaminant k leaving the sewage treatment unit j.
In some embodiments of the invention, the concentration of contaminant k entering wastewater treatment unit j
Figure BDA0003245048080000161
Expressed as:
Figure BDA0003245048080000162
concentration of contaminant k leaving the Sewage treatment Unit j
Figure BDA0003245048080000163
Expressed as:
Figure BDA0003245048080000164
concentration of contaminant k entering Water Unit i
Figure BDA0003245048080000165
Expressed as:
Figure BDA0003245048080000166
wherein the content of the first and second substances,
Figure BDA0003245048080000167
is the concentration of the contaminant entering the wastewater treatment unit j;
concentration of contaminant k leaving water use unit i
Figure BDA0003245048080000168
Expressed as:
Figure BDA0003245048080000169
in some embodiments of the invention, the objective function is:
Figure BDA00032450480800001610
wherein Z is an objective function, alpha is the weight between the amount of purified water and the cost of sewage treatment, and OiFor the discharge flow rate of the water unit i to the sewage mixing point, TjFor mixing the flow rate of wastewater to the wastewater treatment unit j, Sj,iThe treatment cost of the pollutant k for the jth sewage treatment unit.
In some embodiments of the invention, the control parameters include a weight between the amount of clean water used and the cost of wastewater treatment, a flow rate of the water unit to the wastewater mixing point, and a flow rate of the mixed wastewater to the wastewater treatment unit.
Fig. 4 is a schematic diagram of a terminal according to an embodiment of the present invention. As shown in fig. 4, the terminal 30 of this embodiment includes: a processor 300, a memory 301, and a computer program 302 stored in the memory 301 and executable on the processor 300. The steps in the above-described embodiments of the method for treating water for various water use networks, such as S101 to S103 shown in fig. 1, are implemented when the processor 300 executes the computer program 302. Alternatively, the processor 300, when executing the computer program 302, implements the functions of the modules/units in the above-described device embodiments, such as the modules/units 201 to 203 shown in fig. 3.
Illustratively, the computer program 302 may be partitioned into one or more modules/units, which are stored in the memory 301 and executed by the processor 300 to implement the present invention. One or more of the modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 302 in the terminal 30. For example, the computer program 302 may be divided into the modules/units 201 to 203 shown in fig. 3.
The terminal 30 may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices. The terminal 30 may include, but is not limited to, a processor 300, a memory 301. Those skilled in the art will appreciate that fig. 4 is merely an example of a terminal 30 and does not constitute a limitation of terminal 30 and may include more or fewer components than shown, or some components may be combined, or different components, e.g., the terminal may also include input-output devices, network access devices, buses, etc.
The Processor 300 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The storage 301 may be an internal storage unit of the terminal 30, such as a hard disk or a memory of the terminal 30. The memory 301 may also be an external storage device of the terminal 30, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like provided on the terminal 30. Further, the memory 301 may also include both internal storage units of the terminal 30 and external storage devices. The memory 301 is used to store computer programs and other programs and data required by the terminal. The memory 301 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules, so as to perform all or part of the functions described above. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal and method may be implemented in other ways. For example, the above-described apparatus/terminal embodiments are merely illustrative, and for example, a module or a unit may be divided into only one logical function, and may be implemented in other ways, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the processes in the method of the embodiments of the present invention may be implemented by a computer program, which is stored in a computer readable storage medium and used for instructing related hardware, and when the computer program is executed by a processor, the computer program may implement the steps of the embodiments of the method for treating water in each water network. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may include any suitable increase or decrease as required by legislation and patent practice in the jurisdiction, for example, in some jurisdictions, computer readable media may not include electrical carrier signals and telecommunications signals in accordance with legislation and patent practice.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.

Claims (10)

1. A method of treating water using a water network, the water network comprising a plurality of water using units and a plurality of sewage treating units; each water using unit is used for receiving externally inflowing purified water and recycled wastewater treated by the corresponding sewage treatment unit, and is used for discharging the qualified sewage to the sewage discharge point and discharging the mixed wastewater to the sewage mixing point; each sewage treatment unit is used for treating mixed wastewater of a sewage mixing point; the method comprises the following steps: acquiring input parameters of each water using unit, output parameters of each water using unit and output parameters of each sewage treatment unit; determining a water treatment model of the water network according to the input parameters of each water using unit, the output parameters of each sewage treatment unit and given parameters, and taking the minimum net water consumption and the minimum sewage treatment cost as targets; and solving the water utilization treatment model by utilizing a bee colony algorithm to obtain control parameters of the water utilization network, and controlling the water utilization network according to the control parameters.
2. The method of water treatment for a water utility network of claim 1, wherein the water treatment model comprises an objective function and a plurality of constraints.
3. The method of water treatment for a water utility network of claim 2, wherein the plurality of constraints comprise:
flow rate balance constraint conditions of the sewage treatment unit:
Figure FDA0003245048070000011
wherein, TjFor mixing the flow rate of wastewater to the wastewater treatment unit j, Fj,iThe flow rate of the sewage treatment unit j to the water using unit i, and n is the number of the water using units;
balance constraints with water unit flow rate:
Figure FDA0003245048070000012
wherein, wiFor the amount of purified water flowing to the water-consuming unit i, OiFor the discharge flow rate of the water unit i to the sewage mixing point, LiIs the flow rate of the water using unit i to the sewage discharge point;
and (3) using water network in-out balance constraint conditions:
Figure FDA0003245048070000021
pollutant mass balance constraint conditions:
Figure FDA0003245048070000022
wherein, Δ mi,kThe mass of the pollutant k discharged per unit time with the water unit i,
Figure FDA0003245048070000023
to the concentration of the contaminant k leaving the water use unit i,
Figure FDA0003245048070000024
concentration of contaminant k into the Sewage treatment Unit j, Rj,kThe removal rate of the pollutant k by the sewage treatment unit J, wherein I is a set of water using units, and J is a set of sewage treatment units;
constraint for limitation of the concentration of contaminant k in the water stream entering water use unit i:
Figure FDA0003245048070000025
wherein the content of the first and second substances,
Figure FDA0003245048070000026
to determine the concentration of contaminant k entering the water use cell i,
Figure FDA0003245048070000027
to determine the concentration of contaminant k leaving the wastewater treatment unit j,
Figure FDA0003245048070000028
m is the number of sewage treatment units for the maximum concentration limit of the pollutant k in the water flow entering the water using unit;
constraint for limitation of the concentration of contaminant k in the water stream leaving water unit i:
Figure FDA0003245048070000029
wherein the content of the first and second substances,
Figure FDA00032450480700000210
is the maximum concentration limit of contaminant k in the wastewater discharged by water unit i;
constraint for limitation of the concentration of contaminant k in the water stream entering the wastewater treatment unit j:
Figure FDA00032450480700000211
wherein the content of the first and second substances,
Figure FDA00032450480700000212
is the maximum concentration limit of contaminant k entering the wastewater treatment unit j; and the number of the first and second groups,
constraint for limitation of the concentration of contaminant k in the water stream leaving the sewage treatment unit j:
Figure FDA00032450480700000213
wherein the content of the first and second substances,
Figure FDA00032450480700000214
to determine the concentration of contaminant k leaving the wastewater treatment unit j,
Figure FDA00032450480700000215
is the maximum concentration limit of contaminant k leaving the sewage treatment unit j.
4. The method of claim 3,
concentration of contaminant k entering Sewage treatment Unit j
Figure FDA0003245048070000031
Expressed as:
Figure FDA0003245048070000032
concentration of contaminant k leaving the Sewage treatment Unit j
Figure FDA0003245048070000033
Expressed as:
Figure FDA0003245048070000034
concentration of contaminant k entering Water Unit i
Figure FDA0003245048070000035
Expressed as:
Figure FDA0003245048070000036
wherein the content of the first and second substances,
Figure FDA0003245048070000037
is the concentration of the contaminant entering the sewage treatment unit;
concentration of contaminant k leaving water use unit i
Figure FDA0003245048070000038
Expressed as:
Figure FDA0003245048070000039
5. the method of claim 2, wherein the objective function is:
Figure FDA00032450480700000310
wherein Z is an objective function, alpha is the weight between the amount of purified water and the cost of sewage treatment, and OiFor the discharge flow rate of the water unit i to the sewage mixing point, TjFor mixing waste water to a sewage treatment unit jFlow rate, Sj,iThe treatment cost of the pollutant k for the jth sewage treatment unit.
6. The method of any of claims 1 to 5, wherein the control parameters include a weight between a net water usage and a wastewater treatment cost, a flow rate of the water unit to the wastewater mixing point, and a flow rate of the mixed wastewater to the wastewater treatment unit.
7. A water treatment installation for a water network, said water network comprising a plurality of water use units and a plurality of sewage treatment units; each water using unit is used for receiving externally inflowing purified water and recycled wastewater treated by the corresponding sewage treatment unit, and is used for discharging the qualified sewage to the sewage discharge point and discharging the mixed wastewater to the sewage mixing point; each sewage treatment unit is used for treating mixed wastewater of a sewage mixing point; the water treatment device of the water network comprises:
the acquisition module is used for acquiring the input parameters of each water using unit, the output parameters of each water using unit and the output parameters of each sewage treatment unit;
the calculation module is used for determining a water use treatment model of the water use network according to the input parameters of each water use unit, the output parameters of each sewage treatment unit and given parameters by taking the minimum net water consumption and the minimum sewage treatment cost as targets;
and the control module is used for solving the water utilization treatment model by utilizing a bee colony algorithm to obtain control parameters of the water utilization network and controlling the water utilization network according to the control parameters.
8. The water treatment device of claim 7, wherein in the calculation module the water treatment model comprises an objective function and a plurality of constraints.
9. A terminal comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor when executing the computer program realizes the steps of the method of water treatment for a water network according to any of the above claims 1 to 6.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method for water treatment of a water network as claimed in any one of the preceding claims 1 to 6.
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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104765950A (en) * 2015-03-10 2015-07-08 大连理工大学 Optimization model of printing and dyeing industrial park water network
CN110569958A (en) * 2019-09-04 2019-12-13 长江水利委员会长江科学院 High-dimensional complex water distribution model solving method based on hybrid artificial bee colony algorithm

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104765950A (en) * 2015-03-10 2015-07-08 大连理工大学 Optimization model of printing and dyeing industrial park water network
CN110569958A (en) * 2019-09-04 2019-12-13 长江水利委员会长江科学院 High-dimensional complex water distribution model solving method based on hybrid artificial bee colony algorithm

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
于金巧;张芸;陈郁;刘素玲;李金花;: "印染集中区水网络优化研究", 环境科学学报, no. 12 *
周有荣;崔东文;: "基于最优觅食算法-投影寻踪-云模型的最严格水资源管理评价", 水资源与水工程学报, no. 05 *
郑建鄂;谭建军;鄂翔宇;邹蕾;宋池;: "基于人工蜂群算法改进BP神经网络的光伏发电量预测", 湖北民族学院学报(自然科学版), no. 01 *
龚国勇;: "基于神经网络和人工蜂群算法的污水处理水质预测模型研究", 宜春学院学报, no. 12 *

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