A wastewater monitoring system based on big data

Abstract

The present invention relates to a wastewater monitoring system based on big data, and in particular to the field of wastewater treatment monitoring technology, an information collection module for collecting production monitoring information, transportation monitoring information and treatment monitoring information; a production monitoring module for monitoring the production process according to the wastewater conversion ratio; a transportation monitoring module for monitoring the transport wastewater capacity and calculating the recommended control amount of the production speed; a treatment monitoring module for monitoring the wastewater treatment effect according to the wastewater utilization rate; a monitoring feedback module for providing feedback on the transportation process and also for providing feedback on the treatment effect; an information push module for pushing the production process monitoring results, the recommended control amount of the production speed, the adjustment information of the wastewater treatment process, the optimization information of the transportation equipment and the optimization information of the treatment equipment. The present invention improves the wastewater monitoring efficiency by monitoring the industrial production process and the wastewater treatment process.

Description

Technical Field

[0001] The present invention relates to the technical field of wastewater treatment monitoring, and in particular to a wastewater monitoring system based on big data. Background Art

[0002] Industrial wastewater refers to wastewater generated in the process of industrial production, including process wastewater, cooling water, equipment washing water, etc. These wastewaters contain various chemicals, heavy metals, oils and other pollutants, which are harmful to the environment and human health. Industrial wastewater treatment can effectively reduce the content of pollutants in wastewater, thereby preventing pollutants from polluting the environment. Through effective wastewater treatment, harmful substances in wastewater can be removed, water resources can be protected, water pollution can be prevented, and the healthy development of ecology and society can be guaranteed. Wastewater treatment can improve production efficiency and reduce production costs, while reducing environmental accidents caused by improper wastewater treatment, and avoiding enterprises from suffering major losses due to environmental problems. Wastewater treatment can remove harmful substances in wastewater, protect environmental hygiene, and avoid pollutants from causing harm to the human body. Effective wastewater treatment technology can improve the quality of water resources, create a good environment for economic development, and provide more possibilities for social and economic development. However, the current industrial wastewater treatment process mostly relies on workers' experience, the treatment cost is less controllable, and the wastewater monitoring efficiency is low.

[0003] Chinese Patent Publication No.: CN115093001B discloses a sewage treatment system and method based on big data, particularly related to the field of sewage treatment technology, including a monitoring module to monitor the waste discharge information of each waste discharge pipe in real time and upload the waste discharge information to a large database; a matching module to perform data analysis on the waste discharge information and match the waste discharge pipe according to the analysis results, connected to the monitoring module; an adjustment module to adjust the pipe matching method when there are multiple target pipes to be matched, connected to the matching module; a processing module to use the corresponding processing method to treat the discharged wastewater according to the matching results adjusted by the adjustment module, connected to the adjustment module. However, this solution only matches and processes the wastewater pipes for acid-base neutralization, and cannot be applied to other industrial wastewater scenarios, and does not monitor the production process and wastewater treatment process, and cannot improve the monitoring efficiency of wastewater treatment. Summary of the invention

[0004] To this end, the present invention provides a wastewater monitoring system based on big data to overcome the problem of low wastewater monitoring efficiency in the prior art.

[0005] To achieve the above object, the present invention provides a wastewater monitoring system based on big data, which is characterized by comprising:

[0006] An information collection module is used to collect production monitoring information, transportation monitoring information and processing monitoring information;

[0007] The production monitoring module is used to monitor the production process according to the wastewater conversion ratio, to establish a production model, and to input the expected production range into the production model to output the optimal conversion ratio to adjust the monitoring process, and to optimize the production model according to the historical conversion ratio variance;

[0008] The transport monitoring module is used to monitor the transport wastewater capacity and calculate the recommended control amount of the production speed. It is also used to establish a transport model and input the current production status data into the transport model to obtain the optimal conversion time output by the transport model to adjust the recommended control amount of the production speed. It is also used to optimize the transport model according to the historical production time variance;

[0009] A treatment monitoring module is used to monitor the wastewater treatment effect according to the wastewater utilization rate;

[0010] Monitoring and feedback module, used to provide feedback on the transportation process according to the adjustment of the production speed control process, and also used to provide feedback on the processing effect according to the monitoring results of the processing process;

[0011] The information push module is used to push the production process monitoring results, the recommended control amount of the production speed, the adjustment information of the wastewater treatment process, the optimization information of the transportation equipment and the optimization information of the processing equipment.

[0012] Furthermore, the production monitoring module is provided with a production monitoring unit for monitoring the production process according to the wastewater conversion ratio;

[0013] The production monitoring unit compares the wastewater conversion ratio A with the preset wastewater conversion ratio A0, and monitors the production process according to the comparison result, wherein:

[0014] When A≤A0, the production monitoring unit determines that the wastewater conversion ratio does not meet the standard, and the production process is in a continuous production state;

[0015] When A>A0, the production monitoring unit determines that the wastewater conversion ratio meets the standard and the production process is in a state where production can be stopped.

[0016] Furthermore, the production monitoring module is provided with a production model monitoring unit for establishing a production model and inputting the expected production interval into the production model to output an optimal conversion ratio so as to adjust the monitoring process;

[0017] The model monitoring unit establishes a production model based on historical production data and historical wastewater conversion ratios, and inputs the expected production interval into the production model to obtain the optimal conversion ratio A1, and compares the optimal conversion ratio A1 with the preset wastewater conversion ratio A0, and judges the adjustment of the monitoring process based on the comparison results, wherein:

[0018] When A1>A0, the model monitoring unit determines not to adjust the monitoring process;

[0019] When A1≤A0, the model monitoring unit determines to adjust the monitoring process, and adjusts the value of the preset wastewater conversion ratio A0 to the value of the optimal conversion ratio A1.

[0020] Furthermore, the production monitoring module is provided with a production model optimization unit for judging the distortion of the production model according to the historical conversion ratio variance and optimizing the production model;

[0021] The model optimization unit compares the historical conversion ratio variance S with the preset model conversion ratio variance S0, determines the distortion of the production model according to the comparison result, and optimizes the production model, wherein:

[0022] When S<S0, the model optimization unit determines that the output result of the production model is normal and does not optimize the production model;

[0023] When S≥S0, the model optimization unit determines that the output result of the production model is distorted, and optimizes the production model, using the historical output data and historical wastewater conversion ratio data of each production completion in the past three months as the model optimization training set to optimize the production model.

[0024] Furthermore, the transport monitoring module is provided with a transport monitoring unit, which is used to monitor the transport wastewater capacity according to the pre-stored wastewater capacity, the stored wastewater capacity and the treated wastewater capacity when the production process monitoring result is to continue production, and calculate the recommended control amount of the production speed;

[0025] The transport monitoring unit calculates the wastewater occupation capacity B according to the pre-stored wastewater capacity B1, the stored wastewater capacity B2 and the treated wastewater capacity B3, sets B=B1+B2-B3, and compares it with the preset wastewater occupation capacity B0, monitors the transport wastewater capacity according to the comparison result, and calculates the recommended control amount of the production speed, where:

[0026] When B<B0, the transport monitoring unit determines that the transport wastewater capacity is normal;

[0027] When B≥B0, the transport monitoring unit determines that the transport wastewater capacity is abnormal, and calculates the recommended control amount C of the production speed, setting C=[0.7×e −0.2（B-B0） +0.3 ]×C0, C0 is the current production speed.

[0028] Furthermore, the transportation monitoring module is provided with a transportation model monitoring unit, which is used to establish a transportation model according to historical production status data and the optimal conversion time, and input the current production status data into the transportation model to obtain the optimal conversion time output by the transportation model, so as to adjust the recommended control amount of the production speed;

[0029] When the transport wastewater capacity is abnormal, the transport model monitoring unit inputs the current production status data into the transport model to obtain the optimal conversion time D output by the transport model. The transport model monitoring unit compares the optimal conversion time D with each preset optimal conversion time, monitors the future transport status according to the comparison result, and adjusts the recommended control amount of the production speed, wherein:

[0030] When D≤D1, the transport model monitoring unit determines that the future transport state is normal and does not adjust the recommended control amount of the production speed;

[0031] When D1<D≤D2, the transportation model monitoring unit determines that the future transportation state needs to be adjusted, and the recommended control amount of the adjusted production speed is Ca, and Ca=0.9×C is set;

[0032] When D2<D, the transportation model monitoring unit determines that the future transportation state is abnormal, and adjusts the recommended control amount of the production speed. The adjusted recommended control amount of the production speed is Ca, and Ca=0 is set.

[0033] Furthermore, the transport monitoring module is provided with a transport model optimization unit for judging the distortion of the transport model according to the historical production duration variance and optimizing the transport model;

[0034] The transportation model optimization unit compares the historical production time variance F with the preset historical production time variance F0, determines the distortion of the transportation model according to the comparison result, and optimizes the transportation model, wherein:

[0035] When F≤F0, the transportation model optimization unit determines that the transportation model prediction result is normal;

[0036] When F>F0, the transportation model optimization unit determines that the prediction result of the transportation model is distorted and optimizes the transportation model.

[0037] Furthermore, the treatment monitoring module calculates the wastewater utilization rate M according to the wastewater recovery volume K1 and the new water consumption K2, sets M=K1 / (K1+K2), and compares the wastewater utilization rate M with the preset wastewater utilization rate M0, and monitors the wastewater treatment effect according to the comparison result, wherein:

[0038] When M≥M0, the treatment monitoring module determines that the wastewater treatment efficiency is high;

[0039] When M<M0, the treatment monitoring module determines that the wastewater treatment efficiency is low.

[0040] Furthermore, the monitoring and feedback module is provided with a transport monitoring and feedback unit for providing feedback on the transport process according to the adjustment of the production speed control process;

[0041] The transport monitoring feedback unit obtains the number of abnormal transport status H in the future within the feedback cycle, and compares it with the preset number of abnormal transport status H0, and provides feedback on the transport process according to the comparison result, wherein:

[0042] When H≤H0, the transport monitoring feedback unit feedbacks that the transport process is normal;

[0043] When H>H0, the transport monitoring feedback unit feedbacks that the transport process is abnormal;

[0044] The monitoring feedback module is provided with a processing monitoring feedback unit for providing feedback on the processing effect according to the monitoring result of the processing process;

[0045] The processing monitoring feedback unit obtains the duration U of low wastewater treatment efficiency within the feedback cycle, compares the duration U of low wastewater treatment efficiency with the preset duration U0, and provides feedback on the treatment effect according to the comparison result, wherein:

[0046] When U≤U0, the processing monitoring feedback unit feedback processing effect is normal;

[0047] When U>U0, the processing monitoring feedback unit feedbacks that the processing effect is abnormal.

[0048] Furthermore, when the production process monitoring result is that the production can be stopped, the information push module pushes the production can be stopped status to the user end;

[0049] The information push module obtains the recommended control amount of the production speed by the transportation monitoring module and pushes it to the user end;

[0050] The information push module pushes adjustment information to speed up the wastewater treatment speed when the treatment monitoring module determines that the wastewater treatment efficiency is low.

[0051] The information push module pushes optimization information of the transportation equipment to the user when the monitoring feedback module reports that the transportation process is abnormal;

[0052] When the monitoring feedback module finds that the processing effect is abnormal, the information push module pushes the processing device optimization information to the user.

[0053] Compared with the prior art, the beneficial effect of the present invention lies in that the system collects production monitoring information, transportation monitoring information and processing monitoring information through an information collection module, so as to facilitate subsequent wastewater monitoring based on the production monitoring information, transportation monitoring information and processing monitoring information; the system monitors the production process through a production monitoring module to perform digital monitoring of the generation process based on the wastewater conversion ratio, and outputs the optimal conversion ratio based on the production model to adjust the monitoring process, and also judges the distortion of the production model based on the historical conversion ratio variance to optimize the production model, thereby improving the accuracy of the wastewater conversion ratio judgment and further improving the wastewater monitoring efficiency; the system monitors the transport wastewater capacity through a transportation monitoring module, and monitors the optimal conversion time based on the transportation model, thereby adjusting the recommended control amount of the production speed, thereby further improving the monitoring of wastewater conversion, thereby improving the wastewater monitoring efficiency. The system also judges the distortion of the transportation model according to the variance of the historical production time, and optimizes the transportation model to ensure the accuracy of the transportation model prediction and further improve the wastewater monitoring efficiency. The system monitors the wastewater treatment effect through the processing monitoring module to digitize the wastewater treatment effect, thereby improving the wastewater monitoring efficiency. The system feeds back the transportation process through the monitoring feedback module to feedback and optimize the wastewater treatment process according to the monitoring results to improve the wastewater treatment efficiency. The system feeds back the treatment effect through the monitoring feedback module to further improve the wastewater monitoring efficiency. The information push module pushes the production process monitoring results, the recommended control amount of the production speed, the adjustment information of the wastewater treatment process, the optimization information of the transportation equipment and the optimization information of the treatment equipment, so that users can conveniently receive the wastewater monitoring information, and digitize the effects of wastewater generation, transportation and treatment in the product production process, thereby improving the wastewater monitoring efficiency.

[0054] In particular, the model monitoring unit obtains the optimal conversion ratio by inputting the expected production range into the production model, so as to plan the conversion ratio according to the expected production volume, so as to accurately monitor the production; the model monitoring unit does not adjust the monitoring process when the optimal conversion ratio is greater than the preset wastewater conversion ratio, and uses the preset wastewater conversion ratio as the minimum conversion limit so that the production process meets the minimum conversion requirement; and when the optimal conversion ratio is less than or equal to the preset wastewater conversion ratio, the value of the preset wastewater conversion ratio is adjusted to the value of the optimal conversion ratio, so as to reduce the value of the preset wastewater conversion ratio according to the actual planned output, thereby realizing flexible and dynamic production monitoring, thereby improving wastewater monitoring efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 This is a schematic diagram of the structure of the wastewater monitoring system based on big data in this embodiment;

[0056] Figure 2This is a schematic diagram of the structure of the production monitoring module of this embodiment;

[0057] Figure 3 This is a schematic diagram of the structure of the transport monitoring module of this embodiment;

[0058] Figure 4 It is a schematic diagram of the structure of the monitoring feedback module of this embodiment. Implementation

[0059] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0060] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0061] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0062] See also Figure 1 As shown, it is a schematic diagram of the structure of the wastewater monitoring system based on big data in this embodiment, and the system includes:

[0063] An information collection module is used to collect production monitoring information, transportation monitoring information and processing monitoring information;

[0064] The production monitoring module is used to monitor the production process according to the wastewater conversion ratio, to establish a production model, and to input the expected production range into the production model to output the optimal conversion ratio to adjust the monitoring process, and to judge the distortion of the production model according to the historical conversion ratio variance and optimize the production model. The production monitoring module is connected to the information collection module;

[0065] The transport monitoring module is used to monitor the transport wastewater capacity when the production process monitoring result indicates that production will continue, and calculate the recommended control amount for the production speed. It is also used to establish a transport model based on historical production status data and the optimal conversion time, and input the current production status data into the transport model to obtain the optimal conversion time output by the transport model to adjust the recommended control amount for the production speed. It is also used to judge the distortion of the transport model based on the variance of the historical production time, and optimize the transport model. The transport monitoring module is connected to the production monitoring module.

[0066] A treatment monitoring module is used to monitor the wastewater treatment effect according to the wastewater utilization rate, and the treatment monitoring module is connected to the transportation monitoring module;

[0067] A monitoring feedback module is used to provide feedback on the transportation process according to the adjustment of the production speed control process, and is also used to provide feedback on the processing effect according to the monitoring results of the processing process. The monitoring feedback module is connected to the processing monitoring module;

[0068] The information push module is used to push the production process monitoring results, the recommended control amount of the production speed, the adjustment information of the wastewater treatment process, the optimization information of the transportation equipment and the optimization information of the treatment equipment. The information push module is connected with the production monitoring module, the transportation monitoring module, the treatment monitoring module and the monitoring feedback module.

[0069] Specifically, the system is set in an industrial wastewater production and treatment system, and collects industrial wastewater production and treatment data in real time, and uses big data technology to analyze the collected data to achieve real-time monitoring of industrial wastewater, balance wastewater treatment and wastewater generation, minimize wastewater treatment costs, monitor wastewater through big data, and improve wastewater monitoring efficiency. The system collects production monitoring information, transportation monitoring information, and treatment monitoring information through an information collection module, so as to facilitate subsequent wastewater monitoring based on the production monitoring information, transportation monitoring information, and treatment monitoring information. The system monitors the production process through a production monitoring module to perform data-based monitoring of the generation process based on the wastewater conversion ratio, and outputs the optimal conversion ratio based on the production model to adjust the monitoring process. The distortion of the production model is judged based on the historical conversion ratio variance to optimize the production model, thereby improving the accuracy of wastewater conversion ratio judgment and further improving wastewater monitoring efficiency. The system monitors the transportation wastewater capacity through a transportation monitoring module, and outputs the optimal conversion ratio based on the transportation model. The system monitors the production time and adjusts the recommended control amount of the production speed to further improve the monitoring of wastewater conversion, thereby improving the wastewater monitoring efficiency. The system also judges the distortion of the transportation model according to the historical production time variance, and optimizes the transportation model to ensure the accuracy of the transportation model prediction, thereby further improving the wastewater monitoring efficiency. The system monitors the wastewater treatment effect through the processing monitoring module to digitize the wastewater treatment effect, thereby improving the wastewater monitoring efficiency. The system feeds back the transportation process through the monitoring feedback module to feedback and optimize the wastewater treatment process according to the monitoring results to improve the wastewater treatment efficiency. The system feeds back the treatment effect through the monitoring feedback module, thereby further improving the wastewater monitoring efficiency. The information push module pushes the production process monitoring results, the recommended control amount of the production speed, the adjustment information of the wastewater treatment process, the optimization information of the transportation equipment and the optimization information of the treatment equipment, so that users can conveniently receive wastewater monitoring information, and digitize the effects of wastewater generation, transportation and treatment in the product production process, thereby improving the wastewater monitoring efficiency.

[0070] Specifically, the production monitoring information includes wastewater utilization, wastewater generation and expected production range. The wastewater utilization refers to the amount of wastewater recycled for secondary use, and the wastewater generation refers to the amount of wastewater generated in the production process. This embodiment does not limit the acquisition process of wastewater utilization and wastewater generation. Those skilled in the art can set it freely, as long as the precise collection requirements of wastewater utilization and wastewater generation are met. For example, a flow sensor can be set in the wastewater recycling pipeline, and the information collection module collects the flow in the wastewater recycling pipeline within a unit time, such as 5 minutes, through the flow collection sensor, and uses it as the wastewater utilization. A flow sensor is set in the untreated wastewater transportation pipeline, and the information collection module is The flow collection sensor collects the flow in the wastewater transport pipeline within a unit time, such as 5 minutes, and uses it as the wastewater generation. The expected production interval refers to the product output expected to be produced in this production. This embodiment does not limit the method for obtaining the expected production interval. Technical personnel in this field can set it freely, as long as they meet the needs of obtaining the product output plan. For example, it can be set to push the expected production interval window on the user side, and the user selects the product output. After the user selects, the information collection module obtains the feedback product output through the push window, and uses it as the expected production interval. For example, if the minimum production is 1 ton of product and the maximum production is 3 tons of product, 1-3 tons of product will be used as the production interval. The transportation monitoring information includes the pre-stored wastewater capacity and the stored wastewater capacity. and treated wastewater capacity, the pre-stored wastewater capacity refers to the amount of water that will be stored in the wastewater storage container through the transportation pipeline within a unit time such as 5 minutes, the wastewater storage container refers to a storage container that temporarily stores wastewater after it is generated in the production process, waiting for wastewater treatment, the stored wastewater capacity refers to the average amount of water stored in the wastewater storage container within a unit time such as 5 minutes, the treated wastewater capacity refers to the amount of water transported from the wastewater storage container to the wastewater treatment container within a unit time such as 5 minutes. This embodiment does not limit the collection method of the pre-stored wastewater capacity, the stored wastewater capacity and the treated wastewater capacity. Those skilled in the art can set them according to actual needs. They only need to meet the environmental requirements during the collection process and accurately analyze the data. For example, the information collection module can be set to collect the pre-stored wastewater capacity and the treated wastewater capacity through a flow sensor, and the stored wastewater capacity can be collected through a pressure sensor. The processing monitoring information includes the wastewater recovery volume and the new water consumption. The wastewater recovery volume refers to the wastewater volume that is used after the wastewater is treated, and the new water consumption refers to the amount of water that is used for the same purpose as the recycled wastewater and has not been industrially produced as wastewater. This embodiment does not limit the collection method of the wastewater recovery volume and the new water consumption. Those skilled in the art can set it freely, and only need to meet the collection requirements of the wastewater recovery volume and the new water consumption. For example, the information collection module can be set to collect the wastewater recovery volume through a flow sensor set in the wastewater recovery pipeline.The new water consumption is collected through the flow sensor installed in the new water consumption pipeline.

[0071] Specifically, the treatment monitoring module calculates the wastewater utilization rate M according to the wastewater recovery volume K1 and the new water consumption K2, sets M=K1 / (K1+K2), and compares the wastewater utilization rate M with the preset wastewater utilization rate M0, and monitors the wastewater treatment effect according to the comparison result, wherein:

[0072] When M≥M0, the treatment monitoring module determines that the wastewater treatment efficiency is high;

[0073] When M<M0, the treatment monitoring module determines that the wastewater treatment efficiency is low.

[0074] Specifically, the preset wastewater utilization rate refers to a preset value indicating a high wastewater treatment efficiency. In this embodiment, the preset wastewater utilization rate M0=0.7.

[0075] Specifically, when the production process monitoring result indicates that the production can be stopped, the information push module pushes the production can be stopped status to the user end;

[0076] The information push module obtains the recommended control amount of the production speed by the transportation monitoring module and pushes it to the user end;

[0077] The information push module pushes adjustment information to speed up the wastewater treatment speed when the treatment monitoring module determines that the wastewater treatment efficiency is low.

[0078] The information push module pushes optimization information of the transportation equipment to the user when the monitoring feedback module reports that the transportation process is abnormal;

[0079] When the monitoring feedback module finds that the processing effect is abnormal, the information push module pushes the processing device optimization information to the user.

[0080] It can be understood that the present embodiment does not limit the push method of the production stop status, and those skilled in the art can freely set it according to actual conditions, and only need to meet the obvious prompting needs of the user. For example, the push method can be set to set the production stop status content as a pop-up window content, and the user is prompted with a pop-up window for 30 seconds. The present embodiment does not limit the push method of the recommended control amount of the production speed, and those skilled in the art can freely set it, and only need to meet the obvious prompting needs of the user. For example, the user can be prompted by a flashing warning light and the specific value of the recommended control amount of the production speed can be pushed to the user end. The user controls the generation speed by controlling the product raw materials, product catalysts or reaction temperature. The present embodiment does not limit the push method of the adjustment information for accelerating the wastewater treatment speed, and those skilled in the art can freely set it according to actual conditions, and only need to meet the obvious prompting needs of the user. Personnel can set it freely, and only need to meet the user's need to be prompted for adjustments to the wastewater treatment process. For example, a pop-up window with adjustment information as the content can be set to push to the user to speed up the wastewater treatment speed, such as adjusting the wastewater transmission pump speed, etc. This embodiment does not limit the way of pushing the optimization information of the transportation equipment. Technical personnel in this field can freely set it according to actual needs, and only need to meet the user's need to pay attention to the optimization of the transportation equipment. For example, a water drop prompt sound can be set, and the content of pushing is a pop-up window information to expand the rated capacity of the wastewater storage container. This embodiment does not limit the way of pushing the optimization information of the processing equipment. Technical personnel in this field can set it freely, and only need to meet the user's need to be prompted for optimizing the processing equipment. For example, the push content can be set to be a pop-up window for optimizing the processing equipment, such as expanding the capacity of the wastewater treatment equipment, adding new wastewater treatment equipment, etc.

[0081] See also Figure 2 As shown, it is a schematic diagram of the structure of the production monitoring module of this embodiment, and the production monitoring module includes:

[0082] Production monitoring unit, used to monitor the production process according to the wastewater conversion ratio;

[0083] A production model monitoring unit is used to establish a production model and input the expected production range into the production model to output the optimal conversion ratio so as to adjust the monitoring process. The production model monitoring unit is connected to the production monitoring unit;

[0084] The production model optimization unit is used to judge the distortion of the production model according to the historical conversion ratio variance and optimize the production model. The production model optimization unit is connected to the production model monitoring unit.

[0085] Specifically, the production monitoring unit compares the wastewater conversion ratio A with the preset wastewater conversion ratio A0, and monitors the production process according to the comparison result, wherein:

[0086] When A≤A0, the production monitoring unit determines that the wastewater conversion ratio does not meet the standard, and the production process is in a continuous production state;

[0087] When A>A0, the production monitoring unit determines that the wastewater conversion ratio meets the standard and the production process is in a state where production can be stopped.

[0088] Specifically, the wastewater conversion ratio refers to the proportion of generated wastewater converted into secondary utilization production water, which is a ratio that reflects the recycling of wastewater. The value of the wastewater conversion ratio is the ratio of wastewater utilization to wastewater generation per unit time, such as 5 minutes. The preset wastewater conversion ratio refers to a preset ratio indicating that the wastewater conversion ratio meets the standard. In this embodiment, the preset wastewater conversion ratio A0=0.7. The continued production state refers to the state in which industrial production continues to maintain production, and the stoppable production state refers to the state in which industrial production can stop production.

[0089] Specifically, the model monitoring unit establishes a production model based on historical production data and historical wastewater conversion ratios, and inputs the expected production range into the production model to obtain the optimal conversion ratio A1, and compares the optimal conversion ratio A1 with the preset wastewater conversion ratio A0, and judges the adjustment of the monitoring process based on the comparison results, wherein:

[0090] When A1>A0, the model monitoring unit determines not to adjust the monitoring process;

[0091] When A1≤A0, the model monitoring unit determines to adjust the monitoring process, and adjusts the value of the preset wastewater conversion ratio A0 to the value of the optimal conversion ratio A1.

[0092] Specifically, the historical production data refers to the output at each time point in the factory production process within a preset modeling training cycle, such as 5 months; the historical wastewater conversion ratio refers to the wastewater conversion ratio corresponding to the output at each time point in the factory production process; the production model refers to a big data model trained by historical production data and historical wastewater conversion ratios. This embodiment does not limit the modeling process of the production model, and technicians in this field can set it freely as long as the prediction function requirements of the production model are met. For example, it can be set to use the historical production data and historical wastewater conversion ratio data of each production end within nearly 5 months as the model training set to train the production model. The historical output data and historical wastewater conversion ratio of each production within 1 month are used as detection data. After the historical output data of each production within 1 month is input into the production model, the wastewater conversion ratio is output and compared with the corresponding historical wastewater conversion ratio. When the difference of the comparison result is less than 0.1, the model is used as the generation model for numerical prediction. This embodiment does not limit the prediction process of the generation model, and technical personnel in this field can set it freely. It only needs to meet the prediction requirements for the optimal wastewater conversion ratio. The production range of 1-3 tons of products is input into the production model as the output data to obtain the wastewater conversion ratio with the largest value, which is used as the optimal wastewater conversion ratio.

[0093] Specifically, the model monitoring unit obtains the optimal conversion ratio by inputting the expected production range into the production model, so as to plan the conversion ratio according to the expected production volume, so as to accurately monitor the production. When the optimal conversion ratio is greater than the preset wastewater conversion ratio, the model monitoring unit does not adjust the monitoring process, and uses the preset wastewater conversion ratio as the minimum conversion limit to make the production process meet the minimum conversion requirements. When the optimal conversion ratio is less than or equal to the preset wastewater conversion ratio, the value of the preset wastewater conversion ratio is adjusted to the value of the optimal conversion ratio, so as to reduce the value of the preset wastewater conversion ratio according to the actual planned output, thereby realizing flexible and dynamic production monitoring, thereby improving wastewater monitoring efficiency.

[0094] Specifically, the model optimization unit compares the historical conversion ratio variance S with the preset model conversion ratio variance S0, determines the distortion of the production model according to the comparison result, and optimizes the production model, wherein:

[0095] When S<S0, the model optimization unit determines that the output result of the production model is normal and does not optimize the production model;

[0096] When S≥S0, the model optimization unit determines that the output result of the production model is distorted, and optimizes the production model, using the historical output data and historical wastewater conversion ratio data of each production completion in the past three months as the model optimization training set to optimize the production model.

[0097] Specifically, the historical conversion ratio variance refers to a value indicating the fluctuation between the wastewater conversion ratio predicted by the production model and the actual wastewater conversion ratio. The value of the historical conversion ratio variance is the variance value of the wastewater conversion ratio output by the production model under the same production data in the past month and the historical wastewater conversion ratio. The preset model conversion ratio variance refers to a preset value indicating that the output result of the production model is normal. In this embodiment, the preset model conversion ratio variance is 0.1. It can be understood that this embodiment does not limit the specific method of optimization training, and technical personnel in this field can set it freely as long as the optimization training requirements of the production model are met. For example, the historical production data and historical wastewater conversion ratio data of each production end in the past three months can be set as the model optimization training set to optimize the production model until the maximum difference between the wastewater conversion ratio output by the production model and the historical wastewater conversion ratio is less than or equal to 0.1.

[0098] See also Figure 3 As shown, it is a schematic diagram of the structure of the transport monitoring module of this embodiment, and the transport monitoring module includes:

[0099] The transport monitoring unit is used to monitor the transport wastewater capacity according to the pre-stored wastewater capacity, the stored wastewater capacity and the treated wastewater capacity when the production process monitoring result indicates that production should continue, and calculate the recommended control amount of the production speed;

[0100] The transport model monitoring unit is used to establish a transport model according to historical production status data and the optimal conversion time, and input the current production status data into the transport model to obtain the optimal conversion time output by the transport model so as to adjust the recommended control amount of the production speed. The transport model monitoring unit is connected to the transport monitoring unit;

[0101] The transportation model optimization unit is used to judge the distortion of the transportation model according to the historical production time variance and optimize the transportation model. The transportation model optimization unit is connected to the transportation model monitoring unit.

[0102] Specifically, the transport monitoring unit calculates the wastewater occupation capacity B according to the pre-stored wastewater capacity B1, the stored wastewater capacity B2 and the treated wastewater capacity B3, sets B=B1+B2-B3, and compares it with the preset wastewater occupation capacity B0, monitors the transport wastewater capacity according to the comparison result, and calculates the recommended control amount of the production speed, where:

[0103] When B<B0, the transport monitoring unit determines that the transport wastewater capacity is normal;

[0104] When B≥B0, the transport monitoring unit determines that the transport wastewater capacity is abnormal, and calculates the recommended control amount C of the production speed, setting C=[0.7×e −0.2（B-B0）+0.3 ]×C0, C0 is the current production speed.

[0105] Specifically, the preset wastewater occupied capacity is a preset value indicating the safe state of wastewater occupying the wastewater storage container. The preset wastewater occupied capacity B0 is determined by the rated capacity Ba of the wastewater storage container. This embodiment does not specifically limit the setting process of the preset wastewater occupied capacity, and those skilled in the art can set it freely as long as the safety state requirements for wastewater occupying the wastewater storage container are met. For example, B0 can be set to 0.8×Ba. The recommended control amount of the production speed refers to the production speed value that recommends the user to control the product production speed.

[0106] Specifically, when the transport wastewater capacity is abnormal, the transport model monitoring unit inputs the current production status data into the transport model to obtain the optimal conversion time D output by the transport model. The transport model monitoring unit compares the optimal conversion time D with each preset optimal conversion time, monitors the future transport status according to the comparison result, and adjusts the recommended control amount of the production speed, wherein:

[0107] When D≤D1, the transport model monitoring unit determines that the future transport state is normal and does not adjust the recommended control amount of the production speed;

[0108] When D1<D≤D2, the transportation model monitoring unit determines that the future transportation state needs to be adjusted, and the recommended control amount of the adjusted production speed is Ca, and Ca=0.9×C is set;

[0109] When D2<D, the transportation model monitoring unit determines that the future transportation state is abnormal, and adjusts the recommended control amount of the production speed. The adjusted recommended control amount of the production speed is Ca, and Ca=0 is set;

[0110] D1 is the preset first optimal conversion duration, D2 is the preset second optimal conversion duration, and D1<D2.

[0111] Specifically, the production status data refers to data that determines the production speed and wastewater conversion, including product raw materials, product catalysts, reaction temperature, production speed and stored wastewater capacity. The transportation model refers to a model for predicting the optimal conversion time. The optimal conversion time refers to the time from the current time point to the time point when the optimal wastewater conversion ratio is reached. This embodiment does not limit the modeling process of the transportation model. Those skilled in the art can set it according to actual conditions. For example, the transportation model can be set to a convolutional neural network model, the production status data is used as the input value, and the optimal conversion time is used as the output value. The convolutional neural network model is trained using nearly 5 months of production status data and the optimal conversion time as a training set until the convolutional neural network model is used for nearly When the difference between the output result of the test on the production status data for one month and the actual optimal conversion time is less than 0.5, the convolutional neural network is used as a transportation model to predict the optimal conversion time. The preset optimal conversion time is a preset safety time for reaching the optimal wastewater conversion ratio when the transport wastewater capacity is abnormal. The preset optimal conversion time is determined by the wastewater occupied capacity B, the current production speed C0 and the rated capacity Ba of the wastewater storage container. This embodiment does not limit the setting method of each preset optimal conversion time. Those skilled in the art can set it freely as long as the response requirements for the preset safety time are met. For example, D1=0.7×[(Ba-B) / C0] and D2=0.9×[(Ba-B) / C0] can be set.

[0112] Specifically, the transportation model optimization unit compares the historical production time variance F with the preset historical production time variance F0, determines the distortion of the transportation model according to the comparison result, and optimizes the transportation model, wherein:

[0113] When F≤F0, the transportation model optimization unit determines that the transportation model prediction result is normal;

[0114] When F>F0, the transportation model optimization unit determines that the prediction result of the transportation model is distorted and optimizes the transportation model.

[0115] Specifically, the historical production time variance refers to a value representing the fluctuation between the optimal conversion time predicted by the transportation model and the actual optimal conversion time. The value of the historical production time variance is the variance value between the optimal conversion time output by the transportation model within the past month and the actual optimal conversion time. This embodiment does not limit the optimization method of the transportation model, and those skilled in the art can set it freely. For example, the production status data within the past month and the optimal conversion time can be set as the optimization training set to optimize the convolutional neural network model. When the difference between the output result of the convolutional neural network model when tested with the production status data of the past month and the actual optimal conversion time is less than 0.5, the convolutional neural network is used as the optimized transportation model to continue to predict the optimal conversion time.

[0116] See also Figure 4 As shown, it is a schematic diagram of the structure of the monitoring feedback module of this embodiment, and the monitoring feedback module includes:

[0117] Transport monitoring feedback unit, used to provide feedback on the transport process based on the adjustment of the production speed control process;

[0118] The processing monitoring feedback unit is used to provide feedback on the processing effect according to the monitoring result of the processing process, and the processing monitoring feedback unit is connected to the transportation monitoring feedback unit.

[0119] Specifically, the transport monitoring feedback unit obtains the number of abnormal transport states H in the future within the feedback cycle, and compares it with the preset number of abnormal transport states H0, and provides feedback on the transport process according to the comparison result, wherein:

[0120] When H≤H0, the transport monitoring feedback unit feedbacks that the transport process is normal;

[0121] When H>H0, the transport monitoring feedback unit feeds back that the transport process is abnormal.

[0122] Specifically, the feedback cycle refers to the cycle for feedback on the monitoring process, such as setting the feedback cycle to 1 month. The number of future transport status abnormalities refers to the number of times the transport model monitoring unit determines that the future transport status is abnormal within the feedback cycle. The preset number of transport status abnormalities refers to the preset value indicating that the monitoring process is normal, such as setting the preset number of transport status abnormalities to 5 times.

[0123] Specifically, the processing monitoring feedback unit obtains the duration U of low wastewater treatment efficiency within the feedback cycle, compares the duration U of low wastewater treatment efficiency with the preset duration U0, and provides feedback on the treatment effect according to the comparison result, wherein:

[0124] When U≤U0, the processing monitoring feedback unit feedback processing effect is normal;

[0125] When U>U0, the processing monitoring feedback unit feedbacks that the processing effect is abnormal.

[0126] Specifically, the duration of low wastewater treatment efficiency refers to the duration of the state in which the processing monitoring module determines that the wastewater treatment efficiency is low. The preset duration refers to the preset value indicating that the treatment effect is normal. In this embodiment, the preset duration U0=0.9×Y, where Y is the duration of the feedback cycle.

[0127] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

Claims

1. A wastewater monitoring system based on big data, characterized in that: include: An information collection module is used to collect production monitoring information, transportation monitoring information and processing monitoring information; The production monitoring module is used to monitor the production process according to the wastewater conversion ratio, to establish a production model, and to input the expected production range into the production model to output the optimal conversion ratio to adjust the monitoring process, and to optimize the production model according to the historical conversion ratio variance; The transport monitoring module is used to monitor the transport wastewater capacity and calculate the recommended control amount of the production speed. It is also used to establish a transport model and input the current production status data into the transport model to obtain the optimal conversion time output by the transport model to adjust the recommended control amount of the production speed. It is also used to optimize the transport model according to the historical production time variance; A treatment monitoring module is used to monitor the wastewater treatment effect according to the wastewater utilization rate; Monitoring and feedback module, used to provide feedback on the transportation process according to the adjustment of the production speed control process, and also used to provide feedback on the processing effect according to the monitoring results of the processing process; Information push module, used to push the production process monitoring results, the recommended control amount of production speed, the adjustment information of the wastewater treatment process, the optimization information of the transportation equipment and the optimization information of the treatment equipment; The production monitoring module includes: Production monitoring unit, used to monitor the production process according to the wastewater conversion ratio; A production model monitoring unit is used to establish a production model and input the expected production range into the production model to output the optimal conversion ratio so as to adjust the monitoring process. The production model monitoring unit is connected to the production monitoring unit; The production model optimization unit is used to judge the distortion of the production model according to the historical conversion ratio variance and optimize the production model. The production model optimization unit is connected to the production model monitoring unit; The transport monitoring module comprises: The transport monitoring unit is used to monitor the transport wastewater capacity according to the pre-stored wastewater capacity, the stored wastewater capacity and the treated wastewater capacity when the production process monitoring result indicates that production should continue, and calculate the recommended control amount of the production speed; The transport model monitoring unit is used to establish a transport model according to historical production status data and the optimal conversion time, and input the current production status data into the transport model to obtain the optimal conversion time output by the transport model so as to adjust the recommended control amount of the production speed. The transport model monitoring unit is connected to the transport monitoring unit; The transportation model optimization unit is used to judge the distortion of the transportation model according to the historical production time variance and optimize the transportation model. The transportation model optimization unit is connected to the transportation model monitoring unit. The monitoring feedback module comprises: Transport monitoring feedback unit, used to provide feedback on the transport process based on the adjustment of the production speed control process; The processing monitoring feedback unit is used to provide feedback on the processing effect according to the monitoring result of the processing process, and the processing monitoring feedback unit is connected to the transportation monitoring feedback unit.

2. The wastewater monitoring system based on big data according to claim 1 is characterized in that: The production monitoring module is provided with a production monitoring unit for monitoring the production process according to the wastewater conversion ratio; The production monitoring unit compares the wastewater conversion ratio A with the preset wastewater conversion ratio A0, and monitors the production process according to the comparison result, wherein: When A≤A0, the production monitoring unit determines that the wastewater conversion ratio does not meet the standard, and the production process is in a continuous production state; When A>A0, the production monitoring unit determines that the wastewater conversion ratio meets the standard and the production process is in a state where production can be stopped.

3. The wastewater monitoring system based on big data according to claim 2 is characterized in that: The production monitoring module is provided with a production model monitoring unit for establishing a production model and inputting the expected production interval into the production model to output the optimal conversion ratio so as to adjust the monitoring process; The model monitoring unit establishes a production model based on historical production data and historical wastewater conversion ratios, and inputs the expected production interval into the production model to obtain the optimal conversion ratio A1, and compares the optimal conversion ratio A1 with the preset wastewater conversion ratio A0, and judges the adjustment of the monitoring process based on the comparison results, wherein: When A1>A0, the model monitoring unit determines not to adjust the monitoring process; When A1≤A0, the model monitoring unit determines to adjust the monitoring process, and adjusts the value of the preset wastewater conversion ratio A0 to the value of the optimal conversion ratio A1.

4. The wastewater monitoring system based on big data according to claim 3 is characterized in that: The production monitoring module is provided with a production model optimization unit for judging the distortion of the production model according to the historical conversion ratio variance and optimizing the production model; The model optimization unit compares the historical conversion ratio variance S with the preset model conversion ratio variance S0, determines the distortion of the production model according to the comparison result, and optimizes the production model, wherein: When S<S0, the model optimization unit determines that the output result of the production model is normal and does not optimize the production model; When S≥S0, the model optimization unit determines that the output result of the production model is distorted, and optimizes the production model, using the historical output data and historical wastewater conversion ratio data of each production completion in the past three months as the model optimization training set to optimize the production model.

5. The wastewater monitoring system based on big data according to claim 1 is characterized in that: The transport monitoring module is provided with a transport monitoring unit, which is used to monitor the transport wastewater capacity according to the pre-stored wastewater capacity, the stored wastewater capacity and the treated wastewater capacity when the production process monitoring result indicates that production should continue, and calculate the recommended control amount of the production speed; The transport monitoring unit calculates the wastewater occupation capacity B according to the pre-stored wastewater capacity B1, the stored wastewater capacity B2 and the treated wastewater capacity B3, sets B=B1+B2-B3, and compares it with the preset wastewater occupation capacity B0, monitors the transport wastewater capacity according to the comparison result, and calculates the recommended control amount of the production speed, where: When B<B0, the transport monitoring unit determines that the transport wastewater capacity is normal; When B≥B0, the transport monitoring unit determines that the transport wastewater capacity is abnormal, and calculates the recommended control amount C of the production speed, setting C=[0.7×e −0.2（B-B0） +0.3 ]×C0, C0 is the current production speed.

6. The wastewater monitoring system based on big data according to claim 5 is characterized in that: The transport monitoring module is provided with a transport model monitoring unit, which is used to establish a transport model according to historical production status data and the optimal conversion time, and input the current production status data into the transport model to obtain the optimal conversion time output by the transport model, so as to adjust the recommended control amount of the production speed; When the transport wastewater capacity is abnormal, the transport model monitoring unit inputs the current production status data into the transport model to obtain the optimal conversion time D output by the transport model. The transport model monitoring unit compares the optimal conversion time D with each preset optimal conversion time, monitors the future transport status according to the comparison result, and adjusts the recommended control amount of the production speed, wherein: When D≤D1, the transport model monitoring unit determines that the future transport state is normal and does not adjust the recommended control amount of the production speed; When D1<D≤D2, the transportation model monitoring unit determines that the future transportation state needs to be adjusted, and the recommended control amount of the adjusted production speed is Ca, and Ca=0.9×C is set; When D2<D, the transportation model monitoring unit determines that the future transportation state is abnormal, and adjusts the recommended control amount of the production speed. The adjusted recommended control amount of the production speed is Ca, and Ca=0 is set.

7. The wastewater monitoring system based on big data according to claim 6 is characterized in that: The transport monitoring module is provided with a transport model optimization unit for judging the distortion of the transport model according to the historical production duration variance and optimizing the transport model; The transportation model optimization unit compares the historical production time variance F with the preset historical production time variance F0, determines the distortion of the transportation model according to the comparison result, and optimizes the transportation model, wherein: When F≤F0, the transportation model optimization unit determines that the transportation model prediction result is normal; When F>F0, the transportation model optimization unit determines that the prediction result of the transportation model is distorted and optimizes the transportation model.

8. The wastewater monitoring system based on big data according to claim 1 is characterized in that: The processing monitoring module calculates the wastewater utilization rate M according to the wastewater recovery volume K1 and the new water consumption K2, sets M=K1 / (K1+K2), and compares the wastewater utilization rate M with the preset wastewater utilization rate M0, and monitors the wastewater treatment effect according to the comparison result, wherein: When M≥M0, the treatment monitoring module determines that the wastewater treatment efficiency is high; When M<M0, the treatment monitoring module determines that the wastewater treatment efficiency is low.

9. The wastewater monitoring system based on big data according to claim 1 is characterized in that: The monitoring feedback module is provided with a transport monitoring feedback unit for providing feedback on the transport process according to the adjustment of the production speed control process; The transport monitoring feedback unit obtains the number of future transport state abnormalities H within the feedback cycle, and compares it with the preset number of transport state abnormalities H0, and provides feedback on the transport process according to the comparison result, wherein: When H≤H0, the transport monitoring feedback unit feedbacks that the transport process is normal; When H>H0, the transport monitoring feedback unit feedbacks that the transport process is abnormal; The monitoring feedback module is provided with a processing monitoring feedback unit for providing feedback on the processing effect according to the monitoring result of the processing process; The processing monitoring feedback unit obtains the duration U of low wastewater treatment efficiency within the feedback cycle, compares the duration U of low wastewater treatment efficiency with the preset duration U0, and provides feedback on the treatment effect according to the comparison result, wherein: When U≤U0, the processing monitoring feedback unit feedback processing effect is normal; When U>U0, the processing monitoring feedback unit feedbacks that the processing effect is abnormal.

10. The wastewater monitoring system based on big data according to claim 1, characterized in that: When the production process monitoring result indicates that the production can be stopped, the information push module pushes the production can be stopped status to the user end; The information push module obtains the recommended control amount of the production speed by the transportation monitoring module and pushes it to the user end; The information push module pushes adjustment information to speed up the wastewater treatment speed when the treatment monitoring module determines that the wastewater treatment efficiency is low. The information push module pushes optimization information of the transportation equipment to the user when the monitoring feedback module reports that the transportation process is abnormal; When the monitoring feedback module finds that the processing effect is abnormal, the information push module pushes the processing device optimization information to the user.

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