Petrochemical sewage treatment device and method based on targeted strain in-situ production

Abstract

The invention provides a petrochemical sewage treatment device and method based on targeted strain in-situ production, belongs to the technical field of sewage treatment, and is characterized in that on the basis of not changing an original petrochemical sewage treatment system, a targeted strain in-situ production device which can be directly connected and mounted on a sewage biochemical system treatment site is added; the system specifically comprises a strain fermentation unit, an anaerobic tank for controlling and monitoring a biochemical tank of the unit, an aerobic tank and a targeted strain in-situ production device, and the targeted strain in-situ production device continuously feeds cultured targeted strains into the biochemical tank according to real-time monitoring data analysis of a sewage biochemical system; enough quantity of exclusive bacteria in the biochemical pool is ensured, and relatively high removal efficiency on pollutants is kept.

Description

Technical Field

[0001] The 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] In order to achieve the purification of petroleum wastewater, in the invention patent application CN201510572031.9 "A biochemical system auxiliary equipment and its application", targeted bacteria are cultivated online in the biochemical system, and the fuel cell can eliminate the charge accumulation toxicity of the biochemical system, and finally make the biochemical system run efficiently and stably, and the COD digestion capacity is increased by more than 2 times, and the biochemical effluent index is increased by more than 50%. However, there are the following technical problems: In the process of treating petrochemical wastewater, the bacterial quantity of targeted strains has a great influence on the treatment efficiency of 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 petrochemical wastewater, the efficiency of wastewater treatment cannot be guaranteed.

[0003] 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

[0004] To achieve the purpose of the present invention, the present invention adopts the following technical solutions: According to one aspect of the present invention, a petrochemical wastewater treatment device based on in-situ production of targeted bacteria is provided, which specifically comprises: 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 COD, ammonia nitrogen and turbidity in the water body of 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.

[0005] On the other hand, the present application provides a petrochemical wastewater treatment method 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: S1: The control and monitoring unit in the targeted bacterial strain in-situ production device uses the online monitoring instrument to monitor the data, determines the index of the pollutants in the chemical wastewater at different times, and uses the concentration change data of the index to determine that the concentration change of the chemical wastewater meets the requirements, and then proceeds to the next step; S2 determines the predicted duration of chemical wastewater treatment in different time periods based on the concentration monitoring data of indicators in different dimensions and the monitoring data of the bacterial concentration of the targeted bacteria. When the predicted duration of chemical wastewater treatment in different time periods is used to determine that the bacterial concentration of the targeted bacteria does not meet the requirements, the targeted bacteria fermentation unit is started to expand the targeted bacteria, and the bacterial solution is transported to the corresponding biochemical pool after the cultivation is completed; S3 determines the minimum value-added concentration target of the targeted bacteria based on the concentration monitoring data of the indicators of the chemical wastewater, 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; S4 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.

[0006] The beneficial effects of the present invention are: 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. This 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. While ensuring the processing time of the value-added processing, it also reduces the energy consumption of the value-added processing.

[0007] 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 determining the investment strategy based on the concentration monitoring data.

[0008] A further technical solution is to determine whether the concentration change of chemical wastewater meets the requirements, including: Determine the concentration variation of the indicators of different dimensions at different moments and adjacent moments within a preset period of time using the concentration variation data of the indicators, and determine the variation moment in the moments using the concentration variation; Determining the change index among the indicators according to the number of change moments of different indicators; Based on the quantity of the change index, determine whether the concentration change of the chemical wastewater meets the requirements.

[0009] A further technical solution is that the change moment is a moment when the concentration change amount at an adjacent moment is not within a preset change amount range.

[0010] A further technical solution is that the change index is an index that the number of change moments is not within a preset time range.

[0011] 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.

[0012] A further technical solution is 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.

[0013] A further technical solution is that the method for determining the investment strategy is: Determine the treatment duration of the chemical wastewater at different times by using the concentration monitoring data of the indicators of the chemical wastewater and the concentration of the targeted bacteria in the treatment equipment; 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 put the targeted bacteria into the chemical wastewater treatment equipment. 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.

[0014] 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: 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; 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.

[0015] Other features and advantages will be described in the following description. The objects and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description and drawings.

[0016] 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

[0017] 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 attached drawings.

[0018] Figure 1 It is a framework diagram of a petrochemical wastewater treatment device based on in-situ production of targeted bacteria; Figure 2 It is a flow chart of a method for treating petrochemical wastewater based on in-situ production of targeted bacteria; Figure 3 It is a flow chart of a method for determining whether the concentration variation of chemical wastewater meets the requirements; Figure 4 is a flow chart of a method for determining the duration of a governance forecast; Figure 5 It is a flow chart of a method for determining a matching value-added strategy for an in situ production device of a targeted bacterial strain. DETAILED DESCRIPTION

[0019] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on the embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this specification.

[0020] The bacterial quantity 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 according to the treatment data of petrochemical wastewater, which not only ensures the reliability of wastewater treatment, but also ensures the reliability of targeted strain value-added treatment.

[0021] 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.

[0022] Determine that 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.

[0023] Matching value-added strategy for targeted bacterial strain in-situ production equipment: Determine the energy consumption under the value-added strategy based on the energy consumption data of the targeted bacterial strain in-situ production equipment, determine the adaptation coefficient of the value-added strategy based on the energy consumption and the time required for value-added processing, and use the adaptation coefficient to determine the matching value-added strategy in the value-added strategy.

[0024] The investment strategy of the targeted bacteria of the in-situ production device of the targeted bacteria strains 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 duration of the chemical wastewater at different times, and use the treatment duration at different times to determine whether there is a moment when the treatment duration is longer than the preset treatment duration. If so, the moment when the treatment duration 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 strains into the chemical wastewater treatment equipment. If not, there is no need to invest the targeted bacteria into the chemical wastewater treatment equipment.

[0025] like Figure 1 As shown, the present application provides a petrochemical wastewater treatment device based on in-situ production of targeted bacteria, specifically comprising: 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 COD, ammonia nitrogen and turbidity in the water body of 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.

[0026] On the other hand, Figure 2 As shown, a method for treating petrochemical wastewater based on in-situ production of targeted bacteria is provided, which specifically includes: S1: The control and monitoring unit in the targeted bacterial strain in-situ production device uses the online monitoring instrument to monitor the 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 when the concentration change of the chemical wastewater meets the requirements, proceed to the next step; Optionally, the pollutant indicators include water COD, ammonia nitrogen and turbidity.

[0027] Further, such as Figure 3 As shown, it is determined that the concentration change of chemical wastewater meets the requirements, including: Determine the concentration variation of the indicators of different dimensions at different moments and adjacent moments within a preset period of time using the concentration variation data of the indicators, and determine the variation moment in the moments using the concentration variation; Determining the change index among the indicators according to the number of change moments of different indicators; Based on the quantity of the change index, determine whether the concentration change of the chemical wastewater meets the requirements.

[0028] Optionally, the change moment is a moment at which the concentration change amount between adjacent moments is not within a preset change amount range.

[0029] It should be noted that the change index is an index that the number of change moments is not within the preset time range.

[0030] 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.

[0031] 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.

[0032] Optionally, determine whether the concentration change of chemical wastewater meets the requirements, including: Determine the concentration variation of the indicators of different dimensions at different moments and adjacent moments within a preset period of time using the concentration variation data of the indicators, and determine the variation moment in the moments using the concentration variation; 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.

[0033] Optionally, determine whether the concentration change of chemical wastewater meets the requirements, including: S11 determines the concentration changes of the indicators of different dimensions at different moments and adjacent moments within a preset period of time using the concentration change data of the indicators, and determines the change moment in the moments using the concentration change; Optionally, the above step S11 includes the following contents: S111 determines the concentration changes of the indicators of different dimensions at different moments and adjacent moments within a preset period of time using the concentration change data of the indicators, and determines the change moments in the moments using the concentration change. 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, it proceeds to step S112. S112: when the number at the change time 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 time is within the preset number range, it proceeds to step S113; S113: If it is determined based on the number of change moments of different indicators that there is an indicator with a number of change moments greater than the preset number of change moments, then the process goes to step S114; if there is no indicator with a number of change moments greater than the preset number of change moments, then the process goes to step S12; 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.

[0034] S12 determines the index change coefficients of different indicators according to the number of change moments in different indicators and the change conditions between different change moments and adjacent moments; Optionally, the above step S12 includes the following contents: S121 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. When there is an indicator whose index variation coefficient does not meet the requirement, it is determined that the concentration variation of the chemical wastewater does not meet the requirement. When there is no indicator whose index variation coefficient does not meet the requirement, it proceeds to step S122. S122 determines the index whose index change coefficient is within the preset change coefficient interval using the index change coefficients of different indexes, and uses it as the screening change index. When the screening change index exists, the process proceeds to step S123; when the screening change index does not exist, the process proceeds to step S13; S123: When the number of the 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 the screening change indicators meets the requirement, it proceeds to step S124; 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.

[0035] S13 determines the concentration variation coefficient of the chemical wastewater by 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.

[0036] S2 determines the predicted duration of chemical wastewater treatment in different time periods based on the concentration monitoring data of indicators in different dimensions and the monitoring data of the bacterial concentration of the targeted bacteria. When the predicted duration of chemical wastewater treatment in different time periods is used to determine that the bacterial concentration of the targeted bacteria does not meet the requirements, the in-situ production device of the targeted bacteria is started; Specifically, Figure 4As shown, 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 duration of governance 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.

[0037] 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.

[0038] In one embodiment, determining that the concentration of the targeted bacteria does not meet the requirement specifically includes: Using the predicted duration of treatment of chemical wastewater in different divided time periods, an average value of the predicted duration of treatment in different divided time periods is determined; The average value of the predicted duration of treatment 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.

[0039] Furthermore, when the average duration is greater than a preset duration, it is determined that the bacterial concentration of the target bacteria does not meet the requirement.

[0040] Specifically, it is determined that the concentration of the targeted bacteria does not meet the requirements, including: Using the predicted duration of chemical wastewater treatment in different divided time periods, the maximum value of the predicted duration of chemical wastewater treatment in different divided time periods is calculated; 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.

[0041] In another embodiment, determining that the concentration of the targeted bacteria does not meet the requirement specifically includes: S21 utilizes the predicted duration of treatment of chemical wastewater in different divided time periods to divide the divided time periods into different predicted duration intervals; Optionally, the above step S21 includes the following contents: S211 uses the predicted treatment time of chemical wastewater in different divided time periods. When the maximum value of the predicted treatment time of 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 chemical wastewater in different divided time periods meets the requirement, the process proceeds to step S212. S212 takes the average value of the predicted treatment duration of the chemical wastewater in different divided time periods as the duration average value. When 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. When the duration average value meets the requirement, the process proceeds to step S213. 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.

[0042] S22 determines the distribution clustering coefficients of different prediction duration intervals according to the number of divided time periods in different prediction duration intervals and the intervals between the different divided time periods, and determines the weight coefficients of different prediction duration intervals based on the prediction durations corresponding to the different prediction duration intervals; Optionally, the above step S22 includes the following contents: 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, and the weight coefficients of different prediction duration intervals are determined based on the prediction durations corresponding to different prediction duration intervals. S221 determines the distribution clustering coefficients of different prediction time intervals according to the number of divided time periods in different prediction time intervals and the interval lengths of 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; S222 determines the weight coefficients of different prediction duration intervals based on the prediction durations corresponding to the different prediction duration intervals, and determines the modified clustering coefficients in combination with the distribution clustering coefficients of the different prediction duration intervals. When there is a prediction duration interval whose modified clustering coefficient does not meet the requirements, the process proceeds to step S223. When there is no prediction duration interval whose modified clustering coefficient does not meet the requirements, the process proceeds to step S23. 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.

[0043] S23 determines the treatment reliability coefficient of the targeted 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 targeted bacteria meets the requirements.

[0044] S3 determines the minimum value-added concentration target of the targeted bacteria based on the concentration monitoring data of the indicators of the chemical wastewater, 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; Specifically, 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; 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 value that is less than the preset processing time threshold is used as the minimum value-added concentration target of the targeted bacteria.

[0045] Specifically, Figure 5 As shown, the method for determining the matching value-added strategy of the targeted strain in-situ production device is: Determine the energy consumption under the value-added strategy using the energy consumption data of the targeted bacterial strain in-situ production device under the value-added strategy; The adaptation coefficient of the value-added strategy is determined according to the energy consumption and the time taken for value-added processing, and the matching value-added strategy in the value-added strategy is determined using the adaptation coefficient.

[0046] Further, the adaptation coefficient of the value-added strategy is determined according to the energy consumption and the value-added processing time, specifically including: 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.

[0047] It should also be noted that the matching value-added strategy is a value-added strategy with the largest adaptation coefficient.

[0048] S4 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.

[0049] Optionally, the method for determining the investment strategy is: Determine the treatment duration of the chemical wastewater at different times by using the concentration monitoring data of the indicators of the chemical wastewater and the concentration of the targeted bacteria in the treatment equipment; 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 put the targeted bacteria into the chemical wastewater treatment equipment. 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.

[0050] Furthermore, the amount of the targeted bacteria of the targeted bacteria in-situ production device put into the chemical wastewater treatment equipment is determined by using the number of the deviation treatment moments, specifically including: 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; 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.

[0051] Optionally, the method for determining the investment strategy is: The treatment time of the chemical sewage at different times is determined by using the concentration monitoring data of the indicators of the chemical sewage and the concentration of the targeted bacteria in the treatment equipment. When there is no time when the treatment time is longer than the preset treatment time, there is no need to put the targeted bacteria into the treatment equipment for the chemical sewage; When there is a moment when the governance duration is longer than the preset governance duration: The moment when the treatment time is longer than the preset treatment time is taken 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; When the number of deviation management moments meets the requirement: Determine the distribution data of the deviation treatment time in different unit time lengths according to the intervals of different deviation treatment time lengths, and use the distribution data to determine the aggregation time period in the unit time length. When the number of the aggregation time period does not meet the requirements, all the targeted bacteria in the in-situ production device of the targeted bacteria are put into the treatment equipment for chemical wastewater; When the number of aggregation periods meets the requirement: 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 whose governance deviation coefficient does not meet the requirements: When the number of aggregation periods where the governance deviation coefficient does not meet the requirements does not meet the requirements: Then all the targeted bacteria in the targeted bacteria in-situ production device are put into the chemical wastewater treatment equipment; 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: The comprehensive deviation coefficient is determined by the treatment deviation coefficient within different unit time lengths, and the comprehensive deviation coefficient is used as the setting ratio. The setting ratio is used to determine the proportion of targeted bacteria in the targeted bacteria in-situ production device to be put into the chemical wastewater treatment equipment.

[0052] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0053] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0054] The above description is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included in the scope of the claims of this specification.

Claims

1. A petrochemical wastewater treatment device based on in-situ production of targeted bacteria, characterized in that: 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 a biochemical pool to detect COD, ammonia nitrogen and turbidity in the water body of 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.

2. A method for treating petrochemical wastewater based on in-situ production of targeted bacteria, applied to a petrochemical wastewater treatment device based on targeted bacteria according to claim 1, characterized in that: Specifically include: The control and monitoring unit in the targeted strain in-situ production device uses the online monitoring instrument to monitor the data, determines the index of the pollutants in the chemical wastewater at different times, and uses the concentration change data of the index to determine that the concentration change of the chemical wastewater meets the requirements, and then proceeds to the next step; The predicted duration of chemical wastewater treatment in different time periods is determined based on the concentration monitoring data of indicators in different dimensions and the monitoring data of the bacterial concentration of the targeted bacteria. When the predicted duration of petrochemical wastewater treatment in different time periods is used to determine that the bacterial concentration of the targeted bacteria does not meet the requirements, the bacterial fermentation unit is started to expand the culture of the targeted bacteria, and the bacterial solution is transported to the corresponding biochemical pool after the culture is completed; Determine the minimum value-added concentration target of the targeted bacteria based on the concentration monitoring data of the indicators of chemical wastewater, 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 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.

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

4. The method for treating petrochemical wastewater based on in-situ production of targeted bacteria as claimed in claim 3, characterized in that: The change moment is a moment when the concentration change amount at the adjacent moment is not within the preset change amount range.

5. The method for treating petrochemical wastewater based on in-situ production of targeted bacteria as claimed in claim 3, characterized in that: The change index is an index that the number of change moments is not within a preset time range.

6. 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.

7. The method for treating petrochemical wastewater 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 duration of governance 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.

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

9. The method for treating petrochemical wastewater 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, including: Using the predicted duration of treatment of chemical wastewater in different divided time periods, an average value of the predicted duration of treatment in different divided time periods is determined; The average value of the predicted duration of treatment 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.

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

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