Antibiotic pollution treatment risk control system

Abstract

The invention relates to the technical field of antibiotic pollution treatment, in particular to an antibiotic pollution treatment risk control system which comprises a pollution treatment supervision center, a treatment information unit, a water flow supervision unit, a time period operation unit, a regulation and control supervision unit, a treatment refining unit and a facility management unit. According to the invention, analysis is carried out from two perspectives of work and regulation of the target processing equipment, so that the operation safety risk and antibiotic pollution processing efficiency risk conditions of the target processing equipment can be known, and reasonable operation management can be carried out on the target processing equipment according to information feedback conditions; water treatment impact risk supervision analysis is carried out on the inlet water treatment data, so that the situation that the treatment effect is reduced due to the fact that the water flow impact is too large is reduced, and on the premise that the water flow is normal and operation regulation is normal, treatment blocking risk assessment analysis is carried out on the treatment blocking data in an information feedback mode. The antibiotic pollution wastewater treatment efficiency and the treatment performance stability of target treatment equipment are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of antibiotic pollution treatment, and in particular to an antibiotic pollution treatment risk control system. Background Art

[0002] People or animals often cannot fully absorb the antibiotics they take, resulting in a large amount of antibiotics being discharged into the environment as metabolites or even in their original form, which is called antibiotic pollution. Long-term discharge of low-dose antibiotics into the environment will increase the drug resistance of sensitive bacteria, and drug-resistant genes can expand and evolve in the environment, posing a potential threat to the ecological environment and human health. In addition to causing bacterial resistance, antibiotics may also have a certain degree of toxicity to other organisms.

[0003] Antibiotic wastewater treatment refers to the treatment of wastewater containing antibiotics to reduce the potential harm of antibiotics to the environment and human health. However, in the existing antibiotic wastewater treatment technology, it is impossible to safely supervise the treatment process of antibiotic wastewater treatment equipment, which leads to an increase in the risk of abnormal antibiotic wastewater treatment, which is not conducive to timely early warning management, and reduces the treatment stability and efficiency of antibiotic wastewater treatment equipment.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide an antibiotic pollution treatment risk control system to solve the above-mentioned technical defects. The present invention analyzes from the two perspectives of the operation and regulation of the target treatment equipment to understand the operation safety risk and antibiotic pollution treatment efficiency risk of the target treatment equipment, so as to reasonably manage the operation of the target treatment equipment according to the information feedback, and conduct water treatment impact risk supervision analysis on the incoming water treatment data to reduce the treatment effect caused by excessive water flow impact. Under the premise that the water flow is normal and the operation regulation is normal, the processing obstruction risk assessment analysis is conducted on the processing obstruction data through information feedback, so as to maintain and clean the internal processing components of the target treatment equipment according to the information feedback, so as to improve the antibiotic contaminated wastewater treatment efficiency and treatment performance stability of the target treatment equipment.

[0006] The object of the present invention can be achieved by the following technical solutions: an antibiotic contamination treatment risk control system, comprising a pollution treatment supervision center, a treatment information unit, a water flow supervision unit, a time period operation unit, a control supervision unit, a treatment refinement unit and a facility management unit;

[0007] The processing information unit is used to collect the work processing data of the target processing equipment, the work processing data includes work parameters and state performance parameters, and send the work processing data to the time period operation unit. After receiving the work processing data, the time period operation unit immediately performs a processing risk supervision feedback operation on the work processing data, and performs a discriminant analysis on the processing risk coefficient to obtain a stable signal and an alarm signal;

[0008] The control and supervision unit is used to collect the working deviation data of the target processing equipment, the working deviation data includes the processing efficiency value and the total number of controls, and perform control performance safety supervision analysis on the working deviation data, send the obtained qualified signal to the processing refinement unit, and send the obtained optimization signal to the facility management unit;

[0009] The water flow supervision unit is used to collect water inlet processing data of the water inlet end of the target treatment equipment, the water inlet processing data represents a water flow velocity characteristic curve, and performs water treatment impact risk supervision analysis on the water inlet processing data, sends the obtained water treatment signal to the processing refinement unit, and sends the obtained interference signal to the facility management unit through the processing refinement unit;

[0010] The processing refinement unit is used to collect the processing obstruction data of the target processing equipment, the processing obstruction data includes the solid-liquid separation rate and the antibiotic treatment value, and to perform processing obstruction risk assessment analysis on the processing obstruction data, and send the obtained maintenance signal to the facility management unit.

[0011] Preferably, the risk supervision feedback operation process of the time period operation unit is as follows:

[0012] Set a monitoring period and set it as a time threshold, divide the time threshold into i sub-time periods, i is a natural number greater than zero, obtain the time threshold antibiotic contaminated wastewater treatment equipment, and set it as the target treatment equipment, obtain the working parameters of the target treatment equipment in each sub-time period, the working parameters include the actual operating voltage average, the actual voltage fluctuation frequency, obtain the maximum value of the duration corresponding to the value corresponding to the working parameter exceeding the preset threshold, and set it as the deviation risk value, compare and analyze the deviation risk value with the preset deviation risk value threshold stored internally, set the sub-time period corresponding to the deviation risk value greater than the preset deviation risk value threshold as the deviation period, and construct a set A of deviation periods;

[0013] The state performance parameters of the target processing equipment in each sub-time period are obtained. The state performance parameters include temperature change value, vibration amplitude mean value, and abnormal sound value. The temperature change value represents the difference between the maximum operating temperature and the initial operating temperature value. The number of times that the value corresponding to the state performance parameter exceeds the preset threshold value is obtained, and it is set as the interference parameter value. The sub-time period corresponding to the interference parameter value greater than the preset interference parameter value threshold is set as the abnormal time period, and a set B of abnormal time periods is constructed.

[0014] Preferably, the same sub-time periods in set A and set B are obtained and set as overlapping time periods, and the ratio of the number of overlapping time periods to the total number of sub-time periods is obtained and set as the processing risk coefficient;

[0015] Compare and analyze the processing risk factor with the preset processing risk factor threshold value stored in the internal storage:

[0016] If the ratio between the processing risk factor and the preset processing risk factor threshold is less than 1, a stable signal is generated;

[0017] If the ratio between the processing risk coefficient and the preset processing risk coefficient threshold is greater than or equal to 1, an alarm signal is generated.

[0018] Preferably, the control performance safety supervision analysis process of the control supervision unit is as follows:

[0019] S1: Obtain the processing efficiency value of the target processing device within the time threshold, compare and analyze the processing efficiency value with the stored preset processing efficiency value threshold, if the duration corresponding to the processing efficiency value being less than the preset processing efficiency value threshold is greater than the preset processing efficiency value threshold, determine the target processing device demand regulation, obtain the number of target processing device demand regulation within the time threshold, and set it as the total number of regulation, obtain the parameter deviation value corresponding to a single regulation of the target processing device, the parameter deviation value indicates the number of deviations of the actual value corresponding to the regulation parameter from the set regulation value, the regulation parameter includes operating power and working current, compare and analyze the parameter deviation value with the stored preset parameter deviation value threshold, and set the ratio between the number of times the parameter deviation value is greater than the preset parameter deviation value threshold and the total number of regulation as the regulation error rate;

[0020] S2: Obtain the proportion of delay times in the total number of controls of the target processing equipment within the time threshold, and set it as the response risk value. The number of delay times indicates the number of times that the maximum value of the duration between the completion of the control parameter setting and the execution of all parameters is greater than the preset threshold.

[0021] Preferably, the control error rate and the response risk value are labeled TW and XF respectively;

[0022] According to the formula The control deviation risk rate is obtained, where a1 and a2 are the preset proportional factor coefficients of the control error rate and the response risk value, respectively, a3 is the preset correction factor coefficient, a1, a2 and a3 are all greater than zero, K is the control deviation risk rate, and the control deviation risk rate K is compared and analyzed with the preset control deviation risk rate threshold value stored in the internal input:

[0023] If the ratio between the control deviation risk rate K and the preset control deviation risk rate threshold is less than 1, a qualified signal is generated;

[0024] If the ratio between the control deviation risk rate K and the preset control deviation risk rate threshold is greater than or equal to 1, an optimization signal is generated.

[0025] Preferably, the water treatment impact risk supervision and analysis process of the water flow supervision unit is as follows:

[0026] Obtain the water flow velocity characteristic curve at the water inlet end of the target treatment equipment in each sub-time period, obtain the maximum peak value and the minimum trough value from the water flow velocity characteristic curve, and set the average of the difference between the maximum peak value and the minimum trough value as the water flow treatment mean value. Establish a rectangular coordinate system with the number of sub-time periods as the X-axis and the water flow treatment mean value as the Y-axis. Draw the water flow treatment mean value curve by plotting points. Collect the water flow treatment mean value corresponding to the water flow treatment mean value curve once every t1 time period to construct a set SL1 of water flow treatment mean values. Collect the water flow treatment mean value corresponding to the water flow treatment mean value curve once every t2 time period to construct a set SL2 of water flow treatment mean values. Collect the water flow treatment mean value corresponding to the water flow treatment mean value curve once every tg time period to construct a set SLg of water flow treatment mean values, where g is a natural number greater than zero. Obtain the discrete coefficient of the set SL1…SLg within the time threshold, obtain the average of the discrete coefficient of the set SL1…SLg, and set it as the water flow impact risk coefficient.

[0027] Compare and analyze the water flow impact risk factor with the preset water flow impact risk factor threshold value stored in the internal data entry:

[0028] If the ratio between the water flow impact risk coefficient and the preset water flow impact risk coefficient threshold is less than 1, a water treatment signal is generated;

[0029] If the ratio between the water flow impact risk coefficient and the preset water flow impact risk coefficient threshold is greater than or equal to 1, an interference signal is generated.

[0030] Preferably, the processing obstruction risk assessment and analysis process of the processing refinement unit is as follows:

[0031] T1: Obtain the duration corresponding to the solid-liquid separation rate of the target processing equipment being lower than the preset solid-liquid separation rate threshold in each sub-time period, and set it as the interference duration. At the same time, obtain the proportion of the number of blocked meshes in the total number of filter meshes of the target processing equipment in each sub-time period, and set it as the filtration resistance value. The value obtained by multiplying the interference duration by the value corresponding to the filtration resistance value is set as the interference risk value.

[0032] T2: Obtain the antibiotic treatment value of the target treatment equipment in each sub-time period. The antibiotic treatment value means the value obtained by subtracting the average antibiotic pollution concentration in the wastewater corresponding to the target treatment equipment from the average antibiotic pollution concentration in the wastewater corresponding to the target treatment equipment. The interference risk value and the antibiotic treatment value are labeled GFi and KCi respectively;

[0033] T3: According to the formula, the dynamic processing evaluation coefficient Li of each sub-time period is obtained, and a rectangular coordinate system is established with the sub-time period as the independent variable X-axis and the dynamic processing evaluation coefficient Li as the dependent variable Y-axis. The dynamic processing evaluation coefficient curve is drawn by plotting points, and the area of ​​the area enclosed by the dynamic processing evaluation coefficient curve and the X-axis is obtained, and it is set as the dynamic processing value. The dynamic processing value is compared and analyzed with the preset dynamic processing value threshold value stored in the internal input:

[0034] If the dynamic processing value is less than the preset dynamic processing value threshold, no signal is generated;

[0035] If the dynamic processing value is greater than or equal to the preset dynamic processing value threshold, a maintenance signal is generated.

[0036] The beneficial effects of the present invention are as follows:

[0037] (1) The present invention analyzes the operation and regulation of the target treatment equipment to understand the operation safety risk and antibiotic contamination treatment efficiency risk of the target treatment equipment, so as to reasonably manage the operation of the target treatment equipment according to the information feedback, that is, to perform processing risk supervision feedback operation on the working processing data to improve the operation stability and processing efficiency of the target treatment equipment, and to perform regulation performance safety supervision analysis on the working deviation data under the premise of normal operation, so as to reasonably optimize and adjust the target treatment equipment according to the information feedback to improve the operation regulation accuracy of the target treatment equipment;

[0038] (2) The present invention conducts water treatment impact risk supervision and analysis on the inlet water treatment data to determine whether the water flow impact risk at the water inlet end of the target treatment equipment is too high, so as to make timely water inlet adjustments to reduce the water flow impact that is too large and reduces the treatment effect. Under the premise that the water flow and operation regulation are normal, the processing obstruction risk assessment and analysis is performed on the processing obstruction data through information feedback, so as to maintain and clean the internal processing components of the target treatment equipment according to the information feedback, so as to improve the antibiotic contaminated wastewater treatment efficiency and treatment performance stability of the target treatment equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The present invention will be further described below in conjunction with the accompanying drawings;

[0040] Figure 1 It is a flowchart of the system of the present invention;

[0041] Figure 2 It is a reference diagram of Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] Embodiment 1:

[0044] See also Figure 1 to Figure 2 As shown, the present invention is a risk control system for antibiotic pollution treatment, including a pollution treatment supervision center, a treatment information unit, a water flow supervision unit, a time period operation unit, a regulation and supervision unit, a treatment refinement unit and a facility management unit, the pollution treatment supervision center is connected to the treatment information unit and the water flow supervision unit in a one-way communication, the treatment information unit is connected to the time period operation unit in a one-way communication, the time period operation unit is connected to the regulation and supervision unit, the treatment refinement unit and the facility management unit in a one-way communication, the regulation and supervision unit is connected to the treatment refinement unit and the facility management unit in a one-way communication, the water flow supervision unit is connected to the treatment refinement unit in a one-way communication, and the treatment refinement unit is connected to the facility management unit in a one-way communication;

[0045] When the pollution treatment supervision center generates a supervision instruction, it sends the supervision instruction to the processing information unit and the water flow supervision unit. After receiving the supervision instruction, the processing information unit immediately collects the working processing data of the target treatment equipment, including working parameters and state performance parameters, and sends the working processing data to the time period operation unit. After receiving the working processing data, the time period operation unit immediately performs a processing risk supervision feedback operation on the working processing data to understand whether the abnormal risk of the target treatment equipment during operation is too high, so as to conduct early warning feedback management in a timely manner to improve the operating stability and processing efficiency of the target treatment equipment. The specific processing risk supervision feedback operation process is as follows:

[0046] Set a monitoring period and set it as a time threshold, divide the time threshold into i sub-time periods, i is a natural number greater than zero, obtain the time threshold antibiotic contaminated wastewater treatment equipment, and set it as the target treatment equipment, obtain the working parameters of the target treatment equipment in each sub-time period, the working parameters include the actual operating voltage average, the actual voltage fluctuation frequency, etc., obtain the maximum value of the duration corresponding to the value corresponding to the working parameter exceeding the preset threshold, and set it as the deviation risk value, compare and analyze the deviation risk value with the preset deviation risk value threshold stored internally, set the sub-time period corresponding to the deviation risk value greater than the preset deviation risk value threshold as the deviation period, and construct a set A of deviation periods. It should be noted that the working condition of the target treatment equipment is analyzed from the perspective of working parameters to ensure the working stability of the target treatment equipment and improve the effectiveness of the selected analysis data;

[0047] The state performance parameters of the target processing equipment in each sub-time period are obtained. The state performance parameters include temperature change value, vibration amplitude mean value, abnormal sound value, etc. The temperature change value represents the difference between the maximum operating temperature and the initial operating temperature value. The number of times the value corresponding to the state performance parameter exceeds the preset threshold value is obtained, and it is set as the interference parameter value. The sub-time period corresponding to the interference parameter value greater than the preset interference parameter value threshold is set as the abnormal time period, and a set B of abnormal time periods is constructed. It should be noted that the working performance of the target processing equipment is analyzed from the perspective of the state performance parameters, so as to analyze the abnormal operation risk of the target processing equipment;

[0048] The same sub-time periods in set A and set B are obtained and set as the superposition period. The ratio of the number of superposition periods to the total number of sub-time periods is obtained and set as the processing risk coefficient. It should be noted that the larger the value of the processing risk coefficient, the greater the risk of abnormal working efficiency of the target processing equipment.

[0049] Compare and analyze the processing risk factor with the preset processing risk factor threshold value stored in the internal storage:

[0050] If the ratio between the processing risk coefficient and the preset processing risk coefficient threshold is less than 1, a stabilization signal is generated and sent to the control and supervision unit and the processing refinement unit;

[0051] If the ratio between the treatment risk coefficient and the preset treatment risk coefficient threshold is greater than or equal to 1, an alarm signal is generated and sent to the facility management unit. After receiving the alarm signal, the facility management unit immediately performs the preset early warning operation corresponding to the alarm signal, so as to reasonably manage the operation of the target treatment equipment according to the information feedback, so as to ensure the operation safety of the target treatment equipment and the efficiency of antibiotic contamination treatment;

[0052] After receiving the stable signal, the control and supervision unit immediately collects the working deviation data of the target processing equipment. The working deviation data includes the processing efficiency value and the total number of controls, and performs control performance safety supervision analysis on the working deviation data to determine whether the control performance of the target processing equipment is qualified during operation, so as to make reasonable optimization and adjustment to the target processing equipment according to the information feedback, so as to improve the control accuracy and stability of the target processing equipment. The specific control performance safety supervision analysis process is as follows:

[0053] The processing efficiency value of the target processing device within the time threshold is obtained, and the processing efficiency value is compared and analyzed with the stored preset processing efficiency value threshold. If the duration corresponding to the processing efficiency value being less than the preset processing efficiency value threshold is greater than the preset processing efficiency value threshold, the target processing device is determined to be required to be regulated, and the number of times the target processing device is required to be regulated within the time threshold is obtained, and it is set as the total number of regulations, and the parameter deviation value corresponding to a single regulation of the target processing device is obtained. The parameter deviation value indicates the number of deviations of the actual value corresponding to the regulation parameter from the set regulation value. The regulation parameters include operating power, working current, etc. The parameter deviation value is compared and analyzed with the stored preset parameter deviation value threshold, and the ratio between the number of times the parameter deviation value is greater than the preset parameter deviation value threshold and the total number of regulations is set as the regulation error rate. It should be noted that the larger the value of the regulation error rate, the greater the risk of abnormal processing of the target processing device;

[0054] The proportion of the number of delays in the total number of controls of the target processing equipment within the time threshold is obtained, and it is set as the response risk value. The number of delays indicates the number of times that the maximum value of the time between the completion of the control parameter setting and the execution of all parameters is greater than the preset threshold. It should be noted that the larger the value of the response risk value, the greater the risk of abnormal processing of the target processing equipment. The control error rate and the response risk value are labeled TW and XF respectively;

[0055] According to the formula The control deviation risk rate is obtained, where a1 and a2 are the preset proportional factor coefficients of the control error rate and the response risk value, respectively. The proportional factor coefficient is used to correct the deviation of various parameters in the formula calculation process, so as to make the calculation result more accurate. A3 is the preset correction factor coefficient. A1, a2 and a3 are all greater than zero. K is the control deviation risk rate. The control deviation risk rate K is compared with the preset control deviation risk rate threshold value stored in the internal input:

[0056] If the ratio between the control deviation risk rate K and the preset control deviation risk rate threshold is less than 1, a qualified signal is generated and sent to the processing refinement unit;

[0057] If the ratio between the control deviation risk rate K and the preset control deviation risk rate threshold is greater than or equal to 1, an optimization signal is generated and sent to the facility management unit. After receiving the optimization signal, the facility management unit immediately performs the preset early warning operation corresponding to the optimization signal, so as to make reasonable optimization adjustments to the target processing equipment according to the information feedback, so as to improve the operation and control accuracy and stability of the target processing equipment.

[0058] Embodiment 2:

[0059] After receiving the supervision instruction, the water flow supervision unit immediately collects the water inlet treatment data of the target treatment equipment. The water inlet treatment data represents the water flow velocity characteristic curve, and performs water treatment impact risk supervision analysis on the water inlet treatment data to determine whether the water flow impact risk at the water inlet of the target treatment equipment is too high, so as to make timely water inlet adjustments to reduce the water flow impact and reduce the treatment effect. The specific water treatment impact risk supervision analysis process is as follows:

[0060] The water flow velocity characteristic curve at the water inlet of the target treatment equipment in each sub-time period is obtained, the maximum peak value and the minimum trough value are obtained from the water flow velocity characteristic curve, and the average of the difference between the maximum peak value and the minimum trough value is set as the water flow treatment mean value. A rectangular coordinate system is established with the number of sub-time periods as the X-axis and the water flow treatment mean value as the Y-axis. The water flow treatment mean value curve is drawn by plotting points. The water flow treatment mean value corresponding to the water flow treatment mean value curve is collected once every t1 time period, and a set SL1 of water flow treatment mean values ​​is constructed. The water flow treatment mean value corresponding to the water flow treatment mean value curve is collected once every t2 time period. The corresponding water flow treatment mean is collected to construct the set SL2 of water flow treatment mean. Similarly, the water flow treatment mean corresponding to the water flow treatment mean curve is collected every tg time, and the set SLg of water flow treatment mean is constructed, where g is a natural number greater than zero. The discrete coefficients of the set SL1…SLg within the time threshold are obtained, and the mean of the discrete coefficients of the set SL1…SLg is obtained, and it is set as the water flow impact risk coefficient. It should be noted that the larger the value of the water flow impact risk coefficient, the greater the risk of excessive wastewater flow rate at the water inlet end of the target treatment equipment, and t1, t2…tg are not equal.

[0061] Compare and analyze the water flow impact risk factor with the preset water flow impact risk factor threshold value stored in the internal data entry:

[0062] If the ratio between the water flow impact risk coefficient and the preset water flow impact risk coefficient threshold is less than 1, a water treatment signal is generated and sent to the processing refinement unit;

[0063] If the ratio between the water flow impact risk coefficient and the preset water flow impact risk coefficient threshold is greater than or equal to 1, an interference signal is generated, and the interference signal is sent to the facility management unit through the processing refinement unit. After receiving the interference signal, the facility management unit immediately performs a preset warning operation corresponding to the interference signal, so as to adjust the water flow rate at the water inlet end of the target treatment equipment according to the information feedback, so as to reduce the influence of the water flow rate on the treatment efficiency of the antibiotic contaminated wastewater;

[0064] After receiving the stable signal, qualified signal and water treatment signal, the processing refinement unit immediately collects the processing obstacle data of the target processing equipment, including the solid-liquid separation rate and the antibiotic treatment value, and performs processing obstacle risk assessment and analysis on the processing obstacle data, so as to understand the antibiotic contaminated wastewater treatment efficiency risk of the target processing equipment from the perspective of treatment, and at the same time, maintain and clean the internal processing components of the target processing equipment according to the information feedback, thereby reducing the impact of the target processing equipment on the antibiotic contaminated wastewater treatment efficiency, so as to improve the antibiotic contaminated wastewater treatment efficiency. The specific processing obstacle risk assessment and analysis process is as follows:

[0065] The duration corresponding to the solid-liquid separation rate of the target processing equipment being lower than the preset solid-liquid separation rate threshold value in each sub-time period is obtained, and it is set as the interference duration. At the same time, the proportion of the number of blocked meshes in the total number of filter meshes of the target processing equipment in each sub-time period is obtained, and it is set as the filtration resistance value. The value obtained by multiplying the interference duration by the value corresponding to the filtration resistance value is set as the interference risk value. It should be noted that the larger the value of the interference risk value is, the greater the risk of abnormal processing of the target processing equipment is.

[0066] The antibiotic treatment value of the target treatment equipment in each sub-time period is obtained. The antibiotic treatment value represents the value obtained by subtracting the average antibiotic pollution concentration in the wastewater corresponding to the target treatment equipment from the average antibiotic pollution concentration in the wastewater corresponding to the target treatment equipment. It should be noted that the larger the value of the antibiotic treatment value, the smaller the abnormal treatment risk of the target treatment equipment. The interference risk value and the antibiotic treatment value are labeled GFi and KCi respectively;

[0067] According to the formula The dynamic processing evaluation coefficient of each sub-time period is obtained, where fv1 and fv2 are the preset weight factor coefficients of the interference risk value and the antibiotic treatment value, respectively, and fv3 is the preset fault tolerance factor coefficient. fv1, fv2 and fv3 are all greater than zero. Li is the dynamic processing evaluation coefficient of each sub-time period. A rectangular coordinate system is established with the sub-time period as the independent variable X-axis and the dynamic processing evaluation coefficient Li as the dependent variable Y-axis. The dynamic processing evaluation coefficient curve is drawn by plotting points, and the area of ​​the area enclosed by the dynamic processing evaluation coefficient curve and the X-axis is obtained and set as the dynamic processing value. The dynamic processing value is compared and analyzed with the preset dynamic processing value threshold value stored in the internal input:

[0068] If the dynamic processing value is less than the preset dynamic processing value threshold, no signal is generated;

[0069] If the dynamic processing value is greater than or equal to the preset dynamic processing value threshold, a maintenance signal is generated and sent to the facility management unit. After receiving the maintenance signal, the facility management unit immediately performs a preset warning operation corresponding to the maintenance signal, so as to perform maintenance and cleaning on the internal processing components of the target processing equipment according to the information feedback, so as to improve the antibiotic-contaminated wastewater treatment efficiency and treatment performance stability of the target processing equipment;

[0070] In summary, the present invention analyzes the operation and regulation of the target processing equipment to understand the operation safety risks and antibiotic pollution treatment efficiency risks of the target processing equipment, so as to reasonably manage the operation of the target processing equipment according to the information feedback, that is, to perform processing risk supervision feedback operation on the work processing data to understand whether the abnormal risk of the target processing equipment during operation is too high, so as to perform early warning feedback management in a timely manner to improve the operation stability and processing efficiency of the target processing equipment, and under the premise of normal operation, to perform regulation performance safety supervision analysis on the work deviation data to determine whether the regulation performance of the target processing equipment during operation is qualified, so as to ensure the safety of the target processing equipment. According to the information feedback, the target treatment equipment is reasonably optimized and adjusted to improve the operation and control accuracy of the target treatment equipment. At the same time, the water treatment impact risk supervision analysis is carried out on the water inlet treatment data to determine whether the water flow impact risk at the water inlet end of the target treatment equipment is too high, so that the water inlet adjustment can be carried out in time to reduce the treatment effect caused by excessive water flow impact. Under the premise that the water flow and operation control are normal, the processing obstruction risk assessment analysis is carried out on the processing obstruction data through information feedback, so that the internal processing components of the target treatment equipment can be maintained and cleaned according to the information feedback, so as to improve the antibiotic-contaminated wastewater treatment efficiency and treatment performance stability of the target treatment equipment.

[0071] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0072] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula that is close to the actual value. The coefficients in the formula are set by technical personnel in this field according to actual conditions. The above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited to this. Any technical personnel familiar with the technical field within the technical scope disclosed by the present invention, according to the technical solution and the inventive concept of the present invention, make equivalent replacement or change, which should be covered within the protection scope of the present invention.

Claims

1. An antibiotic contamination treatment risk control system, characterized in that: It includes pollution treatment supervision center, treatment information unit, water flow supervision unit, time operation unit, control supervision unit, treatment refinement unit and facility management unit; The processing information unit is used to collect the work processing data of the target processing equipment, the work processing data includes work parameters and state performance parameters, and send the work processing data to the time period operation unit. After receiving the work processing data, the time period operation unit immediately performs a processing risk supervision feedback operation on the work processing data, and performs a discriminant analysis on the processing risk coefficient to obtain a stable signal and an alarm signal; The control and supervision unit is used to collect the working deviation data of the target processing equipment, the working deviation data includes the processing efficiency value and the total number of controls, and perform control performance safety supervision analysis on the working deviation data, send the obtained qualified signal to the processing refinement unit, and send the obtained optimization signal to the facility management unit; The water flow supervision unit is used to collect water inlet processing data of the water inlet end of the target treatment equipment, the water inlet processing data represents a water flow velocity characteristic curve, and performs water treatment impact risk supervision analysis on the water inlet processing data, sends the obtained water treatment signal to the processing refinement unit, and sends the obtained interference signal to the facility management unit through the processing refinement unit; The processing refinement unit is used to collect the processing obstruction data of the target processing equipment, the processing obstruction data includes the solid-liquid separation rate and the antibiotic treatment value, and to perform processing obstruction risk assessment analysis on the processing obstruction data, and send the obtained maintenance signal to the facility management unit.

2. The antibiotic contamination risk control system according to claim 1, characterized in that: The process of handling risk supervision feedback of the operation unit during the period is as follows: Set a monitoring period and set it as a time threshold, divide the time threshold into i sub-time periods, i is a natural number greater than zero, obtain the time threshold antibiotic contaminated wastewater treatment equipment, and set it as the target treatment equipment, obtain the working parameters of the target treatment equipment in each sub-time period, the working parameters include the actual operating voltage average, the actual voltage fluctuation frequency, obtain the maximum value of the duration corresponding to the value corresponding to the working parameter exceeding the preset threshold, and set it as the deviation risk value, compare and analyze the deviation risk value with the preset deviation risk value threshold stored internally, set the sub-time period corresponding to the deviation risk value greater than the preset deviation risk value threshold as the deviation period, and construct a set A of deviation periods; The state performance parameters of the target processing equipment in each sub-time period are obtained. The state performance parameters include temperature change value, vibration amplitude mean value, and abnormal sound value. The temperature change value represents the difference between the maximum operating temperature and the initial operating temperature value. The number of times that the value corresponding to the state performance parameter exceeds the preset threshold value is obtained, and it is set as the interference parameter value. The sub-time period corresponding to the interference parameter value greater than the preset interference parameter value threshold is set as the abnormal time period, and a set B of abnormal time periods is constructed.

3. The antibiotic contamination risk control system according to claim 2, characterized in that: The same sub-time periods in set A and set B are obtained and set as overlapping time periods. The ratio of the number of overlapping time periods to the total number of sub-time periods is obtained and set as the processing risk coefficient. Compare and analyze the processing risk factor with the preset processing risk factor threshold value stored in the internal storage: If the ratio between the processing risk factor and the preset processing risk factor threshold is less than 1, a stable signal is generated; If the ratio between the processing risk coefficient and the preset processing risk coefficient threshold is greater than or equal to 1, an alarm signal is generated.

4. The antibiotic contamination risk control system according to claim 1, characterized in that: The control performance safety supervision analysis process of the control supervision unit is as follows: S1: Obtain the processing efficiency value of the target processing device within the time threshold, compare and analyze the processing efficiency value with the stored preset processing efficiency value threshold, if the duration corresponding to the processing efficiency value being less than the preset processing efficiency value threshold is greater than the preset processing efficiency value threshold, determine the target processing device demand regulation, obtain the number of target processing device demand regulation within the time threshold, and set it as the total number of regulation, obtain the parameter deviation value corresponding to a single regulation of the target processing device, the parameter deviation value indicates the number of deviations of the actual value corresponding to the regulation parameter from the set regulation value, the regulation parameter includes operating power and working current, compare and analyze the parameter deviation value with the stored preset parameter deviation value threshold, and set the ratio between the number of times the parameter deviation value is greater than the preset parameter deviation value threshold and the total number of regulation as the regulation error rate; S2: Obtain the proportion of delay times in the total number of controls of the target processing equipment within the time threshold, and set it as the response risk value. The number of delay times indicates the number of times that the maximum value of the duration between the completion of the control parameter setting and the execution of all parameters is greater than the preset threshold.

5. The antibiotic contamination risk control system according to claim 4, characterized in that: The control error rate and the response risk value are labeled TW and XF respectively; According to the formula The control deviation risk rate is obtained, where a1 and a2 are the preset proportional factor coefficients of the control error rate and the response risk value, respectively, a3 is the preset correction factor coefficient, a1, a2 and a3 are all greater than zero, K is the control deviation risk rate, and the control deviation risk rate K is compared and analyzed with the preset control deviation risk rate threshold value stored in the internal input: If the ratio between the control deviation risk rate K and the preset control deviation risk rate threshold is less than 1, a qualified signal is generated; If the ratio between the control deviation risk rate K and the preset control deviation risk rate threshold is greater than or equal to 1, an optimization signal is generated.

6. The antibiotic contamination risk control system according to claim 1, characterized in that: The water treatment impact risk supervision and analysis process of the water flow supervision unit is as follows: Obtain the water flow velocity characteristic curve at the water inlet end of the target treatment equipment in each sub-time period, obtain the maximum peak value and the minimum trough value from the water flow velocity characteristic curve, and set the average of the difference between the maximum peak value and the minimum trough value as the water flow treatment mean value. Establish a rectangular coordinate system with the number of sub-time periods as the X-axis and the water flow treatment mean value as the Y-axis. Draw the water flow treatment mean value curve by plotting points. Collect the water flow treatment mean value corresponding to the water flow treatment mean value curve once every t1 time period to construct a set SL1 of water flow treatment mean values. Collect the water flow treatment mean value corresponding to the water flow treatment mean value curve once every t2 time period to construct a set SL2 of water flow treatment mean values. Collect the water flow treatment mean value corresponding to the water flow treatment mean value curve once every tg time period to construct a set SLg of water flow treatment mean values, where g is a natural number greater than zero. Obtain the discrete coefficient of the set SL1…SLg within the time threshold, obtain the average of the discrete coefficient of the set SL1…SLg, and set it as the water flow impact risk coefficient. Compare and analyze the water flow impact risk factor with the preset water flow impact risk factor threshold value stored in the internal data entry: If the ratio between the water flow impact risk coefficient and the preset water flow impact risk coefficient threshold is less than 1, a water treatment signal is generated; If the ratio between the water flow impact risk coefficient and the preset water flow impact risk coefficient threshold is greater than or equal to 1, an interference signal is generated.

7. The antibiotic contamination risk control system according to claim 1, characterized in that: The process of risk assessment and analysis of processing obstruction of the processing refinement unit is as follows: T1: Obtain the duration corresponding to the solid-liquid separation rate of the target processing equipment being lower than the preset solid-liquid separation rate threshold in each sub-time period, and set it as the interference duration. At the same time, obtain the proportion of the number of blocked meshes in the total number of filter meshes of the target processing equipment in each sub-time period, and set it as the filtration resistance value. The value obtained by multiplying the interference duration by the value corresponding to the filtration resistance value is set as the interference risk value. T2: Obtain the antibiotic treatment value of the target treatment equipment in each sub-time period. The antibiotic treatment value means the value obtained by subtracting the average antibiotic pollution concentration in the wastewater corresponding to the target treatment equipment from the average antibiotic pollution concentration in the wastewater corresponding to the target treatment equipment. The interference risk value and the antibiotic treatment value are labeled GFi and KCi respectively; T3: According to the formula, the dynamic processing evaluation coefficient Li of each sub-time period is obtained, and a rectangular coordinate system is established with the sub-time period as the independent variable X-axis and the dynamic processing evaluation coefficient Li as the dependent variable Y-axis. The dynamic processing evaluation coefficient curve is drawn by plotting points, and the area of ​​the area enclosed by the dynamic processing evaluation coefficient curve and the X-axis is obtained, and it is set as the dynamic processing value. The dynamic processing value is compared and analyzed with the preset dynamic processing value threshold value stored in the internal input: If the dynamic processing value is less than the preset dynamic processing value threshold, no signal is generated; If the dynamic processing value is greater than or equal to the preset dynamic processing value threshold, a maintenance signal is generated.

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