A petrochemical wastewater treatment device and method based on in-situ production of targeted bacterial strains

Abstract

The present invention provides a petrochemical wastewater treatment device and method based on in-situ production of targeted bacterial strains, belonging to the technical field of wastewater treatment. On the basis of not changing the original petrochemical wastewater treatment system, a targeted bacterial strain in-situ production device that can be directly connected and installed at the sewage biochemical system treatment site is added. Specifically, the device comprises: an anaerobic tank and an aerobic tank of a bacterial strain fermentation unit and a control and monitoring unit biochemical pool, and a targeted bacterial strain in-situ production device. The targeted bacterial strain in-situ production device continuously adds the cultured targeted bacterial strain into the biochemical pool based on real-time monitoring data analysis of the sewage biochemical system, ensuring that there is a sufficient number of exclusive bacteria in the biochemical pool and maintaining a high removal efficiency of pollutants.

Description

Technical Field

[0001] The present invention belongs to the technical field of sewage treatment, and in particular relates to a petrochemical sewage treatment device and method based on in-situ production of targeted bacteria. Background Art

[0002] To purify petroleum wastewater, invention patent application CN201510572031.9, "A Biochemical System Auxiliary Equipment and Its Application," cultivates targeted bacteria online within the biochemical system. Fuel cells eliminate the toxicity of charge accumulation in the biochemical system, ultimately enabling efficient and stable operation of the biochemical system. This increases COD degradation capacity by more than 2 times, and improves biochemical effluent indicators by more than 50%. However, the following technical issues exist:

[0003] During the treatment of petrochemical wastewater, the bacterial quantity of the targeted strain has a great influence on the treatment efficiency of the petrochemical wastewater. Therefore, if the investment control treatment of the targeted strain in-situ production device cannot be carried out according to the treatment data of the petrochemical wastewater, the efficiency of the wastewater treatment cannot be guaranteed.

[0004] In response to the above technical problems, the present invention provides a petrochemical wastewater treatment device and method based on in-situ production of targeted bacteria. Summary of the Invention

[0005] To achieve the purpose of the present invention, the present invention adopts the following technical solutions:

[0006] According to one aspect of the present invention, a petrochemical wastewater treatment device based on in-situ production of targeted bacteria is provided, specifically comprising:

[0007] The targeted bacterial strain in-situ production device includes a bacterial strain fermentation unit and a control and monitoring unit. The control and monitoring unit is connected to multiple sets of probes and placed in a biochemical pool to detect the COD, ammonia nitrogen and turbidity of the water in the biochemical pool. At the same time, the parameters are fed back to the control and monitoring unit. The bacterial strain fermentation unit continuously adds the cultured targeted bacterial strains to the anaerobic pool and aerobic pool of the biochemical pool through a conveying pipeline.

[0008] On the other hand, the present application provides a method for treating petrochemical wastewater based on in-situ production of targeted bacteria, which is applied to the above-mentioned petrochemical wastewater treatment device based on in-situ production of targeted bacteria, specifically comprising:

[0009] S1: The control and monitoring unit in the targeted bacterial strain in-situ production device uses online monitoring instrument monitoring data to determine the pollutant indicators of the chemical wastewater at different times, and uses the concentration change data of the indicators to determine that the concentration change of the chemical wastewater meets the requirements, and then proceeds to the next step;

[0010] S2 uses the concentration monitoring data of indicators in different dimensions and the monitoring data of the bacterial concentration of the targeted bacteria to determine the predicted treatment duration of the chemical wastewater in different divided time periods. When it is determined that the bacterial concentration of the targeted bacteria does not meet the requirements based on the predicted treatment duration of the chemical wastewater in different divided time periods, the targeted bacteria fermentation unit is started to expand the targeted bacteria. After the culture is completed, the bacterial liquid is transported to the corresponding biochemical pool;

[0011] S3 determines the minimum value-added concentration target of the targeted bacteria based on the concentration monitoring data of the chemical wastewater indicators, determines the value-added processing time of the targeted bacteria in-situ production device under different value-added strategies based on the minimum value-added concentration target, and determines the matching value-added strategy of the targeted bacteria in-situ production device in combination with the energy consumption data;

[0012] S4 When the minimum concentration value-added target is reached, the concentration monitoring data of the chemical wastewater indicators are used to determine the investment strategy of the targeted bacteria of the targeted bacteria in-situ production device into the chemical wastewater treatment equipment.

[0013] The beneficial effects of the present invention are:

[0014] The matching value-added strategy of the targeted strain in-situ production device is determined based on the value-added processing time and energy consumption data of the targeted strain in-situ production device under different value-added strategies. It takes into account both the time required for value-added under different value-added strategies and the energy consumption under different value-added strategies, thereby realizing the determination of matching value-added strategies from multiple angles. On the basis of ensuring the processing time of value-added processing, the energy consumption of value-added processing is also reduced.

[0015] The concentration monitoring data of chemical wastewater indicators are used to determine the investment strategy of the targeted bacteria of the targeted bacteria in-situ production device into the chemical wastewater treatment equipment. This not only avoids the impact of frequent investment treatment on the efficiency of the value-added treatment of the targeted bacteria in-situ production device, but also ensures the efficiency and reliability of the concentration treatment of chemical wastewater indicators by using the concentration monitoring data to determine the investment strategy.

[0016] A further technical solution is to determine whether the concentration change of chemical wastewater meets the requirements, including:

[0017] Determine the concentration variation of indicators of different dimensions at different moments and adjacent moments within a preset time period using the concentration variation data of the indicators, and determine the change moment within the moments using the concentration variation;

[0018] determining a change index among the indicators according to the number of change moments of different indicators;

[0019] Based on the number of the change indicators, it is determined whether the concentration change of the chemical wastewater meets the requirements.

[0020] A further technical solution is that the change moment is a moment at which the concentration change amount compared with the adjacent moments is not within a preset change amount range.

[0021] A further technical solution is that the change indicator is an indicator that the number of change moments is not within a preset time range.

[0022] A further technical solution is that when the number of the change indicators is not within a preset indicator number range, it is determined that the concentration change of the chemical wastewater does not meet the requirements.

[0023] A further technical solution is to directly start the targeted bacterial strain in-situ production device when the concentration variation of the chemical wastewater does not meet the requirements, and determine the matching value-added strategy of the targeted bacterial strain in-situ production device.

[0024] A further technical solution is that the method for determining the investment strategy is:

[0025] Determining the treatment duration of the chemical wastewater at different times using the concentration monitoring data of the indicators of the chemical wastewater and the concentration of the targeted bacteria in the treatment equipment;

[0026] Determine whether there is a moment when the treatment time is longer than the preset treatment time based on the treatment time at different times. If so, proceed to the next step. If not, there is no need to add the targeted bacteria to the chemical wastewater treatment equipment.

[0027] The moment when the treatment time is longer than the preset treatment time is taken as the deviation treatment moment, and the number of the deviation treatment moments is used to determine the input amount of the targeted bacteria of the targeted bacteria in-situ production device into the chemical wastewater treatment equipment.

[0028] A further technical solution is to use the number of the deviation treatment moments to determine the input amount of the targeted bacteria of the targeted bacteria in-situ production device into the chemical wastewater treatment equipment, specifically including:

[0029] When the number of the deviation treatment moments is greater than the preset number of deviation moments, all the targeted bacteria in the targeted bacteria in-situ production device are put into the chemical wastewater treatment equipment;

[0030] When the number of the deviation treatment moments is not greater than the preset number of deviation moments, the proportion of the number of the deviation moments is used to determine the proportion of the targeted bacteria in the targeted bacteria in-situ production device to be put into the chemical wastewater treatment equipment.

[0031] Other features and advantages will be described in the following description. The objectives and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description and drawings.

[0032] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the accompanying drawings.

[0034] Figure 1 This is a framework diagram of a petrochemical wastewater treatment device based on in-situ production of targeted bacteria;

[0035] Figure 2 This is a flow chart of a petrochemical wastewater treatment method based on in-situ production of targeted bacteria;

[0036] Figure 3 It is a flow chart of a method for determining whether the concentration change of chemical wastewater meets the requirements;

[0037] Figure 4 is a flow chart of a method for determining the duration of a governance forecast;

[0038] Figure 5 Flowchart of a method for determining a matching value-added strategy for an in situ production device of a targeted bacterial strain. DETAILED DESCRIPTION

[0039] To help those skilled in the art better understand the technical solutions in this specification, the following will provide a clear and complete description of the technical solutions in the embodiments of this specification, in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of this specification, not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this specification without creative work should fall within the scope of protection of this specification.

[0040] The bacterial amount of targeted strains has a great influence on the treatment efficiency of petrochemical wastewater. Therefore, it is necessary to carry out investment control treatment of the targeted strain in-situ production device based on the treatment data of petrochemical wastewater, so as to ensure the reliability of wastewater treatment and the reliability of the targeted strain value-added treatment.

[0041] Determine whether the concentration change of chemical wastewater meets the requirements: Determine whether the concentration change of chemical wastewater meets the requirements based on the proportion of the number of concentration change moments within the preset time period. When the proportion of the number of concentration change moments within the preset time period is greater than 0.6, it is determined that the concentration change of chemical wastewater does not meet the requirements.

[0042] Determine whether the bacterial concentration of the targeted bacteria does not meet the requirements: Based on the predicted treatment duration of chemical wastewater in different divided time periods, determine the number of divided time periods in which the predicted treatment duration is greater than the preset time threshold. When the proportion of the divided time periods in which the predicted treatment duration is greater than the preset time threshold is greater than 0.5, it is determined that the bacterial concentration of the targeted bacteria does not meet the requirements.

[0043] Matching value-added strategy for in-situ production equipment of targeted strains: Use the energy consumption data of the in-situ production equipment of targeted strains under the value-added strategy to determine the energy consumption under the value-added strategy, determine the adaptation coefficient of the value-added strategy based on the energy consumption and the time taken for value-added processing, and use the adaptation coefficient to determine the matching value-added strategy in the value-added strategy.

[0044] The investment strategy of the targeted bacteria of the in-situ production device of the targeted bacteria strain into the chemical wastewater treatment equipment: using the concentration monitoring data of the chemical wastewater indicators and the bacterial concentration of the targeted bacteria in the treatment equipment, determine the treatment time of the chemical wastewater at different times, and use the treatment time at different times to determine whether there is a moment when the treatment time is longer than the preset treatment time. If so, the moment when the treatment time is longer than the preset treatment time is used as the deviation treatment moment, and use the number of the deviation treatment moments to determine the investment amount of the targeted bacteria of the in-situ production device of the targeted bacteria strain into the chemical wastewater treatment equipment. If not, there is no need to invest the targeted bacteria into the chemical wastewater treatment equipment.

[0045] like Figure 1 As shown, the present application provides a petrochemical wastewater treatment device based on in-situ production of targeted bacteria, specifically comprising:

[0046] The targeted bacterial strain in-situ production device includes a bacterial strain fermentation unit and a control and monitoring unit. The control and monitoring unit is connected to multiple sets of probes and placed in a biochemical pool to detect the COD, ammonia nitrogen and turbidity of the water in the biochemical pool. At the same time, the parameters are fed back to the control and monitoring unit. The bacterial strain fermentation unit continuously adds the cultured targeted bacterial strains to the anaerobic pool and aerobic pool of the biochemical pool through a conveying pipeline.

[0047] On the other hand, Figure 2 As shown, a petrochemical wastewater treatment method based on in-situ production of targeted bacteria is provided, which specifically includes:

[0048] S1: The control and monitoring unit in the targeted bacterial strain in-situ production device uses online monitoring instrument monitoring data, uses the monitoring data of the chemical wastewater to determine the indicators of pollutants in the chemical wastewater at different times, and uses the concentration change data of the indicators to determine that the concentration change of the chemical wastewater meets the requirements, and then proceeds to the next step;

[0049] Optionally, the pollutant indicators include water COD, ammonia nitrogen and turbidity.

[0050] Further, such as Figure 3 As shown, it is determined that the concentration change of chemical wastewater meets the requirements, including:

[0051] Determine the concentration variation of indicators of different dimensions at different moments and adjacent moments within a preset time period using the concentration variation data of the indicators, and determine the change moment within the moments using the concentration variation;

[0052] determining a change index among the indicators according to the number of change moments of different indicators;

[0053] Based on the number of the change indicators, it is determined whether the concentration change of the chemical wastewater meets the requirements.

[0054] Optionally, the change moment is a moment at which the concentration change amount at an adjacent moment is not within a preset change amount range.

[0055] It should be noted that the change index is an index that the number of change moments is not within the preset time range.

[0056] Furthermore, when the number of the change indicators is not within a preset indicator number range, it is determined that the concentration change of the chemical wastewater does not meet the requirements.

[0057] It should also be noted that when the concentration variation of the chemical wastewater does not meet the requirements, the targeted bacterial strain in-situ production device is directly started, and a matching value-added strategy for the targeted bacterial strain in-situ production device is determined.

[0058] Optionally, confirm that the concentration change of chemical wastewater meets the requirements, including:

[0059] Determine the concentration variation of indicators of different dimensions at different moments and adjacent moments within a preset time period using the concentration variation data of the indicators, and determine the change moment within the moments using the concentration variation;

[0060] The total number of change moments is determined by the number of change moments of different indicators, and the total number of change moments is used to determine whether the concentration change of the chemical wastewater meets the requirements.

[0061] Optionally, confirm that the concentration change of chemical wastewater meets the requirements, including:

[0062] S11 determines the concentration variation of the indicators of different dimensions at different moments and adjacent moments within a preset time period using the concentration variation data of the indicators, and determines the variation moment in the moments using the concentration variation;

[0063] Optionally, the above step S11 includes the following contents:

[0064] S111 determines the concentration changes of indicators of different dimensions at different moments and adjacent moments within a preset time period using the concentration change data of the indicators, and determines the change moments among the moments using the concentration change data. When the number of the change moments is less than the number of preset moments, it is determined that the concentration change of the chemical wastewater meets the requirements. When the number of the change moments is not less than the number of preset moments, the process proceeds to step S112.

[0065] S112: When the number at the change moment is not within the preset number range, it is determined that the concentration change of the chemical wastewater does not meet the requirements; when the number at the change moment is within the preset number range, the process proceeds to step S113;

[0066] S113: If it is determined based on the number of change moments of different indicators that there is an indicator whose number of change moments is greater than the preset number of change moments, then the process proceeds to step S114; if it is not determined that there is an indicator whose number of change moments is greater than the preset number of change moments, then the process proceeds to step S12;

[0067] S114 takes the indicator whose number of change moments is greater than the preset number of change moments as the change indicator. When the number of change indicators does not meet the requirements, it is determined that the concentration change of the chemical wastewater does not meet the requirements. When the number of change indicators meets the requirements, it goes to step S12.

[0068] S12 determines the index variation coefficients of different indicators according to the number of variation moments in different indicators and the variation conditions between different variation moments and adjacent moments;

[0069] Optionally, the above step S12 includes the following contents:

[0070] S121 determines the index variation coefficients of different indicators based on the number of change moments in different indicators and the change conditions between different change moments and adjacent moments. If there is an index variation coefficient that does not meet the requirements, it is determined that the concentration change of the chemical wastewater does not meet the requirements. If there is no index variation coefficient that does not meet the requirements, the process proceeds to step S122.

[0071] S122 determines the index whose index variation coefficient is within the preset variation coefficient range using the index variation coefficients of different indicators, and uses it as the screening variation index. If the screening variation index exists, the process proceeds to step S123; if the screening variation index does not exist, the process proceeds to step S13;

[0072] S123: When the number of screening change indicators does not meet the requirement, it is determined that the concentration change of the chemical wastewater does not meet the requirement; when the number of screening change indicators meets the requirement, the process proceeds to step S124;

[0073] S124 determines the screening variation coefficient using the index variation coefficients of different screening variation indicators. When the screening variation coefficient does not meet the requirements, it is determined that the concentration variation of the chemical wastewater does not meet the requirements. When the screening variation coefficient meets the requirements, proceed to step S13.

[0074] S13 determines the concentration variation coefficient of the chemical wastewater using the index variation coefficients of different indicators, and uses the concentration coefficient to determine whether the concentration variation of the chemical wastewater meets the requirements.

[0075] S2 uses the concentration monitoring data of indicators in different dimensions and the monitoring data of the bacterial concentration of the targeted bacteria to determine the predicted treatment duration of the chemical wastewater in different divided time periods. When it is determined that the bacterial concentration of the targeted bacteria does not meet the requirements based on the predicted treatment duration of the chemical wastewater in different divided time periods, the in-situ production device of the targeted bacteria is started;

[0076] Specifically, such as Figure 4 As shown, the method for determining the governance prediction duration is:

[0077] Based on the concentration monitoring data of indicators in different dimensions, the monitoring data of the bacterial concentration of the targeted bacteria is used to determine the predicted treatment duration of indicators in different dimensions;

[0078] The predicted duration of treatment of the chemical wastewater is determined based on the predicted duration of treatment of indicators in different dimensions.

[0079] Furthermore, the predicted duration of treatment of the chemical wastewater is determined based on the maximum value of the predicted duration of treatment of indicators in different dimensions.

[0080] In one embodiment, determining that the concentration of the targeted bacteria does not meet the requirement specifically includes:

[0081] Using the predicted treatment durations of chemical wastewater in different divided time periods, an average value of the predicted treatment durations in the different divided time periods is determined;

[0082] The average value of the predicted treatment duration in different divided time periods is taken as the duration average value, and the duration average value is used to determine whether the bacterial concentration of the targeted bacteria meets the requirements.

[0083] Furthermore, when the average duration is greater than a preset duration, it is determined that the bacterial concentration of the targeted bacteria does not meet the requirement.

[0084] Specifically, it is determined that the concentration of the targeted bacteria does not meet the requirements, including:

[0085] Using the predicted treatment duration of chemical wastewater in different divided time periods, the maximum value of the predicted treatment duration of chemical wastewater in different divided time periods is calculated;

[0086] The maximum value of the predicted treatment duration of the chemical wastewater in different divided time periods is taken as the maximum duration, and the maximum duration is used to determine whether the bacterial concentration of the targeted bacteria meets the requirements.

[0087] In another embodiment, determining that the concentration of the targeted bacteria does not meet the requirement specifically includes:

[0088] S21 divides the divided time periods into different predicted time intervals using the predicted treatment durations of the chemical wastewater in the different divided time periods;

[0089] Optionally, the above step S21 includes the following contents:

[0090] S211 uses the predicted treatment time of the chemical wastewater in different divided time periods. When the maximum value of the predicted treatment time of the chemical wastewater in different divided time periods does not meet the requirement, it is determined that the bacterial concentration of the targeted bacteria does not meet the requirement. When the maximum value of the predicted treatment time of the chemical wastewater in different divided time periods meets the requirement, the process proceeds to step S212.

[0091] S212 takes the average value of the predicted treatment duration of the chemical wastewater in different divided time periods as the duration average value. If the duration average value does not meet the requirement, it is determined that the bacterial concentration of the target bacteria does not meet the requirement. If the duration average value meets the requirement, the process proceeds to step S213.

[0092] S213 divides the divided time periods into different predicted time intervals. When the number of divided time periods in the preset predicted time interval does not meet the requirements, it is determined that the bacterial concentration of the targeted bacteria does not meet the requirements. When the number of divided time periods in the preset predicted time interval meets the requirements, proceed to step S22.

[0093] S22 determines the distribution clustering coefficients of the different prediction duration intervals based on the number of divided time periods within the different prediction duration intervals and the interval lengths of the different divided time periods, and determines the weight coefficients of the different prediction duration intervals based on the prediction durations corresponding to the different prediction duration intervals;

[0094] Optionally, the above step S22 includes the following contents:

[0095] The distribution clustering coefficients of different prediction duration intervals are determined by the number of divided time periods in different prediction duration intervals and the interval lengths of different divided time periods. The weight coefficients of different prediction duration intervals are determined based on the prediction durations corresponding to different prediction duration intervals.

[0096] S221 determines the distribution clustering coefficients of different prediction time intervals based on the number of divided time periods within the different prediction time intervals and the interval lengths of the different divided time periods. When the distribution clustering coefficients of the preset prediction time intervals do not meet the requirements, it is determined that the bacterial concentration of the target bacteria does not meet the requirements. When the distribution clustering coefficients of the preset prediction time intervals meet the requirements, the process proceeds to step S222.

[0097] S222 determines weight coefficients of different prediction duration intervals based on the prediction durations corresponding to the different prediction duration intervals, and determines a modified clustering coefficient based on the distribution clustering coefficients of the different prediction duration intervals. If there is a prediction duration interval whose modified clustering coefficient does not meet the requirements, the process proceeds to step S223. If there is no prediction duration interval whose modified clustering coefficient does not meet the requirements, the process proceeds to step S23.

[0098] S223 When the number of predicted time intervals in which the corrected clustering coefficient does not meet the requirements is greater than the preset number of intervals, it is determined that the bacterial concentration of the targeted bacteria does not meet the requirements. When the number of predicted time intervals in which the corrected clustering coefficient does not meet the requirements is not greater than the preset number of intervals, proceed to step S23.

[0099] S23 determines the treatment reliability coefficient of the target bacteria according to the weight coefficients and distribution clustering coefficients of different prediction time intervals, and uses the treatment reliability coefficient to determine whether the bacterial concentration of the target bacteria meets the requirements.

[0100] S3 determines the minimum value-added concentration target of the targeted bacteria based on the concentration monitoring data of the chemical wastewater indicators, determines the value-added processing time of the targeted bacteria in-situ production device under different value-added strategies based on the minimum value-added concentration target, and determines the matching value-added strategy of the targeted bacteria in-situ production device in combination with the energy consumption data;

[0101] Specifically, the method for determining the minimum value-added concentration target of the targeted bacteria is:

[0102] Based on the concentration monitoring data of chemical wastewater indicators, determine the treatment time with different bacterial concentrations in different time periods;

[0103] The average value of the processing time in different divided time periods is calculated according to the processing time in different divided time periods, and the minimum value of the bacterial concentration corresponding to the average processing time being less than the preset processing time threshold is used as the minimum value-added concentration target of the targeted bacteria.

[0104] Specifically, such as Figure 5 As shown, the method for determining the matching value-added strategy of the targeted bacterial strain in situ production device is:

[0105] Determining the energy consumption under the value-added strategy based on the energy consumption data of the targeted bacterial strain in-situ production device under the value-added strategy;

[0106] An adaptation coefficient of the value-added strategy is determined according to the energy consumption and the time taken for value-added processing, and a matching value-added strategy in the value-added strategy is determined using the adaptation coefficient.

[0107] Furthermore, determining the adaptation coefficient of the value-added strategy according to the energy consumption and the value-added processing time specifically includes:

[0108] The adaptation coefficient of the value-added strategy is determined by the ratio of the energy consumption to the preset energy consumption and the ratio of the value-added processing time to the preset time length.

[0109] It should also be noted that the matching value-added strategy is the value-added strategy with the largest adaptation coefficient.

[0110] S4 When the minimum concentration value-added target is reached, the concentration monitoring data of the chemical wastewater indicators are used to determine the investment strategy of the targeted bacteria of the targeted bacteria in-situ production device into the chemical wastewater treatment equipment.

[0111] Optionally, the method for determining the investment strategy is:

[0112] Determining the treatment duration of the chemical wastewater at different times using the concentration monitoring data of the indicators of the chemical wastewater and the concentration of the targeted bacteria in the treatment equipment;

[0113] Determine whether there is a moment when the treatment time is longer than the preset treatment time based on the treatment time at different times. If so, proceed to the next step. If not, there is no need to add the targeted bacteria to the chemical wastewater treatment equipment.

[0114] The moment when the treatment time is longer than the preset treatment time is taken as the deviation treatment moment, and the number of the deviation treatment moments is used to determine the input amount of the targeted bacteria of the targeted bacteria in-situ production device into the chemical wastewater treatment equipment.

[0115] Furthermore, the number of the deviation treatment moments is used to determine the input amount of the targeted bacteria of the targeted bacteria in-situ production device into the chemical wastewater treatment equipment, specifically including:

[0116] When the number of the deviation treatment moments is greater than the preset number of deviation moments, all the targeted bacteria in the targeted bacteria in-situ production device are put into the chemical wastewater treatment equipment;

[0117] When the number of the deviation treatment moments is not greater than the preset number of deviation moments, the proportion of the number of the deviation moments is used to determine the proportion of the targeted bacteria in the targeted bacteria in-situ production device to be put into the chemical wastewater treatment equipment.

[0118] Optionally, the method for determining the investment strategy is:

[0119] The concentration monitoring data of the chemical wastewater indicators and the concentration of the targeted bacteria in the treatment equipment are used to determine the treatment duration of the chemical wastewater at different times. If there is no time when the treatment duration is longer than the preset treatment duration, there is no need to add the targeted bacteria to the chemical wastewater treatment equipment.

[0120] When there is a moment when the governance duration is longer than the preset governance duration:

[0121] The moment when the treatment time is longer than the preset treatment time is used as the deviation treatment moment. When the number of the deviation treatment moments does not meet the requirement, all the targeted bacteria in the targeted bacteria in-situ production device are put into the chemical wastewater treatment equipment;

[0122] When the number of deviation management moments meets the requirement:

[0123] Determine the distribution data of the deviation treatment moments within different unit time lengths based on different intervals of the deviation treatment moments, and use the distribution data to determine the aggregation period in the unit time length. When the number of the aggregation period does not meet the requirement, all the targeted bacteria in the in-situ production device of the targeted bacteria are put into the chemical wastewater treatment equipment;

[0124] When the number of aggregation periods meets the requirement:

[0125] The governance deviation coefficients of different aggregation periods are determined by the number of deviation governance moments in different aggregation periods and the governance duration of different deviation governance moments. When there is an aggregation period where the governance deviation coefficient does not meet the requirements:

[0126] When the number of aggregation periods where the governance deviation coefficient does not meet the requirements does not meet the requirements:

[0127] All the targeted bacteria in the targeted bacteria in-situ production device are put into the chemical wastewater treatment equipment;

[0128] When there is no aggregation period where the governance deviation coefficient does not meet the requirements or the number of aggregation periods where the governance deviation coefficient does not meet the requirements meets the requirements:

[0129] The comprehensive deviation coefficient is determined by the treatment deviation coefficient within different unit time periods, and the comprehensive deviation coefficient is used as the setting ratio. The proportion of the targeted bacteria in the targeted bacteria in-situ production device is determined by the setting ratio and put into the chemical wastewater treatment equipment.

[0130] The various embodiments in this specification are described in a progressive manner. Similar portions between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the device, apparatus, and non-volatile computer storage medium embodiments are generally similar to the method embodiments, so their descriptions are relatively simplified. For relevant details, refer to the descriptions of the method embodiments.

[0131] The foregoing description of this specification describes specific embodiments. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different from that described in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order shown or the sequential order to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0132] The foregoing description is merely one or more embodiments of this specification and is not intended to limit this specification. It will be apparent to those skilled in the art that various modifications and variations may be made to one or more embodiments of this specification. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of one or more embodiments of this specification are intended to be within the scope of the claims of this specification.

Claims

1. A method for treating petrochemical wastewater based on in-situ production of targeted bacteria, characterized in that: The devices used specifically include: The targeted bacterial strain in-situ production device includes a bacterial strain fermentation unit and a control and monitoring unit. The control and monitoring unit is connected to multiple sets of probes and placed in the biochemical pool to detect COD, ammonia nitrogen and turbidity in the water of the biochemical pool. The parameters are fed back to the control and monitoring unit. The bacterial strain fermentation unit continuously adds the cultured targeted bacterial strain to the anaerobic and aerobic tanks of the biochemical pool through a conveying pipeline. The steps of the method include: The control and monitoring unit in the targeted bacterial strain in-situ production device uses online monitoring instrument monitoring data to determine the indicators of pollutants in the chemical wastewater at different times, and uses the concentration change data of the indicators to determine that the concentration change of the chemical wastewater meets the requirements, and then proceeds to the next step; The concentration monitoring data of indicators in different dimensions and the monitoring data of the bacterial concentration of the targeted bacteria are used to determine the predicted treatment duration of chemical wastewater in different time periods. When the bacterial concentration of the targeted bacteria does not meet the requirements based on the predicted treatment duration of petrochemical wastewater in different time periods, the bacterial fermentation unit is started to expand the culture of the targeted bacteria. After the culture is completed, the bacterial liquid is transported to the corresponding biochemical pool; Determine the minimum value-added concentration target of the targeted bacteria based on the concentration monitoring data of the chemical wastewater indicators, determine the value-added processing time of the targeted bacteria in-situ production device under different value-added strategies based on the minimum value-added concentration target, and determine the matching value-added strategy of the targeted bacteria in-situ production device in combination with the energy consumption data; When the minimum concentration value-added target is reached, the concentration monitoring data of the chemical wastewater index is used to determine the investment strategy of the targeted bacteria of the targeted bacteria in-situ production device into the chemical wastewater treatment equipment; The method for determining the minimum value-added concentration target of the targeted bacteria is: Based on the concentration monitoring data of chemical wastewater indicators, determine the treatment time with different bacterial concentrations in different time periods; Determine the average value of the treatment time in different divided time periods according to the treatment time in different divided time periods, and use the minimum value of the bacterial concentration corresponding to the average treatment time being less than the preset treatment time threshold as the minimum value-added concentration target of the targeted bacteria; The method for determining the matching value-added strategy of the targeted bacterial strain in-situ production device is as follows: Determining the energy consumption under the value-added strategy based on the energy consumption data of the targeted bacterial strain in-situ production device under the value-added strategy; Determining an adaptation coefficient of the value-added strategy according to the energy consumption and the value-added processing time, and determining a matching value-added strategy in the value-added strategy using the adaptation coefficient; The method for determining the investment strategy of the targeted bacteria of the targeted bacteria in-situ production device into the chemical wastewater treatment equipment is as follows: The concentration monitoring data of the chemical wastewater indicators and the bacterial concentration of the targeted bacteria in the treatment equipment are used to determine the treatment time of the chemical wastewater at different times. The treatment time at different times is used to determine whether there is a moment when the treatment time is longer than the preset treatment time. If so, the moment when the treatment time is longer than the preset treatment time is used as the deviation treatment time, and the number of the deviation treatment moments is used to determine the input amount of the targeted bacteria of the targeted bacteria in-situ production device into the chemical wastewater treatment equipment. If not, there is no need to input the targeted bacteria into the chemical wastewater treatment equipment.

2. The petrochemical wastewater treatment method based on in-situ production of targeted bacteria according to claim 1, characterized in that: Determine whether the concentration change of chemical wastewater meets the requirements, including: Determine the concentration variation of indicators of different dimensions at different moments and adjacent moments within a preset time period using the concentration variation data of the indicators, and determine the change moment within the moments using the concentration variation; determining a change index among the indicators according to the number of change moments of different indicators; Based on the number of the change indicators, it is determined whether the concentration change of the chemical wastewater meets the requirements.

3. The method for treating petrochemical wastewater based on in-situ production of targeted bacteria according to claim 2, characterized in that: The change moment is a moment at which the concentration change amount relative to the adjacent moments is not within a preset change amount range.

4. The petrochemical wastewater treatment method based on in-situ production of targeted bacteria according to claim 2, characterized in that: The change index is an index that the number of change moments is not within a preset time range.

5. The petrochemical wastewater treatment method based on in-situ production of targeted bacteria according to claim 1, characterized in that: When the concentration variation of the chemical wastewater does not meet the requirements, the bacterial strain fermentation unit of the targeted bacterial strain in-situ production device is directly started, and a matching value-added strategy of the targeted bacterial strain in-situ production device is determined.

6. The petrochemical wastewater treatment method based on in-situ production of targeted bacteria according to claim 1, characterized in that: The method for determining the governance prediction duration is: Based on the concentration monitoring data of indicators in different dimensions, the monitoring data of the bacterial concentration of the targeted bacteria is used to determine the predicted treatment duration of indicators in different dimensions; The predicted duration of treatment of the chemical wastewater is determined based on the predicted duration of treatment of indicators in different dimensions.

7. The petrochemical wastewater treatment method based on in-situ production of targeted bacteria according to claim 6, characterized in that: The predicted treatment time of the chemical wastewater is determined based on the maximum value of the predicted treatment time of indicators in different dimensions.

8. The petrochemical wastewater treatment method based on in-situ production of targeted bacteria according to claim 1, characterized in that: Determine that the concentration of the targeted bacteria does not meet the requirements, specifically including: Using the predicted treatment durations of chemical wastewater in different divided time periods, an average value of the predicted treatment durations in the different divided time periods is determined; The average value of the predicted treatment duration in different divided time periods is taken as the duration average value, and the duration average value is used to determine whether the bacterial concentration of the targeted bacteria meets the requirements.

9. The petrochemical wastewater treatment method based on in-situ production of targeted bacteria according to claim 8, characterized in that: When the average time duration is greater than the preset time duration, it is determined that the bacterial concentration of the target bacteria does not meet the requirements.

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