Intelligent operation method and device for disinfectant preparation system

Abstract

The invention discloses an intelligent operation method and device for a disinfectant preparation system, and relates to the technical field of operation control, the time from the initial work starting time to the current time of the disinfectant preparation system is recorded as a target time interval, and the flow data of a water pump in the target time interval is obtained to calculate a flow decrease coefficient; acquiring temperature adjustment data of the temperature control system and calculating a temperature deviation accumulation coefficient; acquiring pipeline pressure data and calculating a pipeline pressure fluctuation coefficient; an equipment operation fault coefficient is obtained according to the flow decrease coefficient, the temperature deviation accumulation coefficient and the pipeline pressure fluctuation coefficient, the equipment operation fault coefficient is compared with a preset equipment operation fault coefficient threshold value, and a disinfectant preparation system is operated according to a comparison result; therefore, hidden faults of the disinfectant preparation system can be detected, intelligent operation is carried out on the disinfectant preparation system according to the detection result, faults in production are reduced, and normal production efficiency is ensured.

Description

Technical Field

[0001] The present invention relates to the field of operation control technology, and in particular to an intelligent operation method and device for a disinfectant preparation system. Background Art

[0002] With the continuous development of automation and intelligent technology, disinfectant preparation systems have been widely used in many industries, especially in hospitals, food processing plants, public places and other fields. These systems ensure that the preparation process of disinfectants is both efficient and safe by accurately controlling key parameters such as liquid ratio, temperature, and pressure. Modern disinfectant preparation systems usually integrate sensors, pump controls, temperature control systems and other equipment, and are monitored and adjusted in real time through a central control system. However, despite the stable operation of the system, the equipment may have hidden faults over time, resulting in reduced equipment efficiency or potential safety risks. In order to ensure the long-term and reliable operation of the system, intelligent diagnosis and early warning technology has gradually been applied to the disinfectant preparation system. By monitoring the equipment status in real time, once the equipment status does not meet the standard, the equipment status is judged to be faulty and repaired to ensure the safety of the disinfectant preparation system operation.

[0003] However, there is still a significant problem in actual operation - the equipment may have hidden faults, even if it does not currently have a direct impact on the preparation process of the disinfectant; hidden faults are often difficult to detect in time and will not significantly affect the preparation quality in the short term. However, if these faults are not diagnosed and handled in the early stages, they may cause more serious faults or reduced production efficiency in subsequent production. Summary of the invention

[0004] The purpose of the present invention is to solve the above-mentioned problems and provide an intelligent operation method and device for a disinfectant preparation system.

[0005] In a first aspect of the present invention, a method for intelligently operating a disinfectant preparation system is first proposed, the method comprising:

[0006] The time from the initial start of the disinfectant preparation system to the current time is recorded as the target time interval, and the flow data of the water pump in the target time interval is obtained, and the flow reduction coefficient is calculated according to the flow data of the water pump;

[0007] Acquire temperature adjustment data of the temperature control system within the target time interval, and calculate the temperature deviation accumulation coefficient according to the temperature adjustment data of the temperature control system;

[0008] Obtain pipeline pressure data within a target time interval, and calculate pipeline pressure fluctuation coefficient based on the pipeline pressure data;

[0009] The equipment operation failure coefficient is obtained according to the flow drop coefficient, the temperature deviation accumulation coefficient and the pipeline pressure fluctuation coefficient, and the equipment operation failure coefficient is compared with the preset equipment operation failure coefficient threshold value, and the disinfectant preparation system is operated according to the comparison result.

[0010] Optionally, calculating the flow rate drop coefficient according to the flow rate data of the water pump includes:

[0011] Divide the target time interval into several sub-intervals according to the preset time window, and obtain the water pump flow rate of each sub-interval to obtain a water pump flow rate sequence based on time sequence;

[0012] Draw a time-pump flow line graph based on the pump flow sequence, calculate the average slope of the time-pump flow line graph, and use the average slope as the flow drop coefficient.

[0013] Optionally, calculating the temperature deviation accumulation coefficient according to the temperature adjustment data of the temperature control system includes:

[0014] Obtain the number of times the temperature control system performs temperature adjustment within the target time interval, and record the actual adjusted temperature value and the corresponding preset adjusted temperature value each time the temperature is adjusted, and mark the actual adjusted temperature value and the corresponding preset adjusted temperature value as G respectively. k and T k , k represents the order number of the temperature control system's temperature adjustment times, k∈[1,n], and n is a positive integer;

[0015] According to G k and T k Calculate the temperature deviation cumulative coefficient, the calculation formula is: WQ=|G k -T k |, where WQ is the temperature deviation accumulation coefficient.

[0016] Optionally, calculating the pipeline pressure fluctuation coefficient according to the pipeline pressure data includes:

[0017] Obtain the pipeline pressure within the target time interval and obtain a pipeline pressure sequence based on time sequence; calibrate the pipeline pressure in the pipeline pressure sequence as Q w , w represents the order number of the pipeline pressure in the pipeline pressure sequence, w∈[1,u], u is the total number of pipeline pressures in the pipeline pressure sequence, and u is a positive integer;

[0018] Calculate the mean of the pipeline pressure series Calculate the pipeline pressure fluctuation coefficient, the calculation formula is:

[0019]

[0020] Where DG is the pipeline pressure fluctuation coefficient.

[0021] Optionally, the equipment operation failure coefficient obtained according to the flow drop coefficient, the temperature deviation accumulation coefficient and the pipeline pressure fluctuation coefficient includes:

[0022] HJU=(1-a1×FH)++a2×WQ+ln(a3×DG+1)

[0023] Wherein, HJU is the equipment operation failure coefficient, FH, WQ, and DG are the flow drop coefficient, temperature deviation accumulation coefficient, and pipeline pressure fluctuation coefficient, respectively; a1, a2, and a3 are the preset proportional coefficients of FH, WQ, and DG, respectively, and a1, a2, and a3 are all greater than 0;

[0024] Compare the equipment operation failure coefficient with the preset equipment operation failure coefficient threshold, and operate the disinfectant preparation system according to the comparison result, including:

[0025] If the equipment operation failure coefficient is not less than the preset equipment operation failure coefficient threshold, it means that there is a hidden failure in the equipment of the disinfectant preparation system. At this time, all operations of the disinfectant preparation system are immediately stopped and a failure warning signal is issued;

[0026] If the equipment operation failure coefficient is less than the preset equipment operation failure coefficient threshold, it means that there is no hidden failure in the equipment of the disinfectant preparation system. At this time, all operations of the disinfectant preparation system are still carried out according to the original plan.

[0027] In a second aspect of the present invention, an intelligent operation device for a disinfectant preparation system is provided, the device comprising:

[0028] Flow reduction module: record the time from the initial start of the disinfectant preparation system to the current time as the target time interval, obtain the flow data of the water pump within the target time interval, and calculate the flow reduction coefficient based on the flow data of the water pump;

[0029] Temperature deviation accumulation module: obtains the temperature adjustment data of the temperature control system within the target time interval, and calculates the temperature deviation accumulation coefficient based on the temperature adjustment data of the temperature control system;

[0030] Pipeline pressure fluctuation module: obtains pipeline pressure data within the target time interval and calculates pipeline pressure fluctuation coefficient based on pipeline pressure data;

[0031] Operation module: The equipment operation failure coefficient is obtained according to the flow drop coefficient, the temperature deviation accumulation coefficient and the pipeline pressure fluctuation coefficient, and the equipment operation failure coefficient is compared with the preset equipment operation failure coefficient threshold value, and the disinfectant preparation system is operated according to the comparison result.

[0032] Optionally, the flow reduction module includes:

[0033] Water pump flow module: divide the target time interval into several sub-intervals according to the preset time window, obtain the water pump flow in each sub-interval, and obtain the water pump flow sequence based on time sequence;

[0034] Flow reduction coefficient module: Draw a time-pump flow line graph based on the pump flow sequence, calculate the average slope of the time-pump flow line graph, and use the average slope as the flow reduction coefficient.

[0035] Optionally, the temperature deviation accumulation module includes:

[0036] Marking module: obtains the number of times the temperature control system adjusts the temperature within the target time interval, and records the actual adjusted temperature value and the corresponding preset adjusted temperature value each time the temperature is adjusted, and marks the actual adjusted temperature value and the corresponding preset adjusted temperature value as G respectively. k and T k , k represents the order number of the temperature control system's temperature adjustment times, k∈[1,n], and n is a positive integer;

[0037] Temperature deviation cumulative coefficient module: According to G k and T k Calculate the temperature deviation cumulative coefficient, the calculation formula is: WQ=|G k -T k |, where WQ is the temperature deviation accumulation coefficient.

[0038] Optionally, the pipeline pressure fluctuation module includes:

[0039] Calibration module: obtain the pipeline pressure in the target time interval and obtain the pipeline pressure sequence based on time sequence; calibrate the pipeline pressure in the pipeline pressure sequence as Q w , w represents the sequence number of the pipeline pressure in the pipeline pressure sequence, w=1, 2, 3, 4, ..., u, u is the total number of pipeline pressures in the pipeline pressure sequence, and u is a positive integer;

[0040] Pipeline pressure fluctuation coefficient module: calculates the mean of the pipeline pressure sequence and the pipeline pressure fluctuation coefficient. The calculation formula is:

[0041]

[0042] Where DG is the pipeline pressure fluctuation coefficient.

[0043] Optionally, the operation module includes:

[0044] Equipment operation failure coefficient calculation module: HJU = (1-a1×FH)++a2×WQ+ln(a3×DG+1), where HJU is the equipment operation failure coefficient, FH, WQ, and DG are flow drop coefficient, temperature deviation accumulation coefficient, and pipeline pressure fluctuation coefficient, respectively, and a1, a2, and a3 are preset proportional coefficients of FH, WQ, and DG, respectively, and a1, a2, and a3 are all greater than 0;

[0045] First comparison operation module: if the equipment operation failure coefficient is not less than the preset equipment operation failure coefficient threshold, it means that there is a hidden failure in the equipment of the disinfectant preparation system. At this time, all operations of the disinfectant preparation system are immediately stopped and a fault warning signal is issued;

[0046] Second comparison operation module: If the equipment operation failure coefficient is less than the preset equipment operation failure coefficient threshold, it means that there is no hidden failure in the equipment of the disinfectant preparation system. At this time, all operations of the disinfectant preparation system are still carried out according to the original plan.

[0047] Beneficial effects of the present invention:

[0048] The present invention proposes an intelligent operation method and device for a disinfectant preparation system, which records the time from the initial start of operation of the disinfectant preparation system to the current time as a target time interval, and obtains the flow data of the water pump in the target time interval to calculate the flow drop coefficient; obtains the temperature adjustment data of the temperature control system to calculate the temperature deviation cumulative coefficient; obtains the pipeline pressure data to calculate the pipeline pressure fluctuation coefficient; obtains the equipment operation failure coefficient according to the flow drop coefficient, the temperature deviation cumulative coefficient and the pipeline pressure fluctuation coefficient, and compares the equipment operation failure coefficient with a preset equipment operation failure coefficient threshold, and operates the disinfectant preparation system according to the comparison result; in this way, the hidden failures of the disinfectant preparation system can be detected, and the disinfectant preparation system can be intelligently operated according to the detection results, thereby reducing failures in production and ensuring normal production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] The present invention will be further described below in conjunction with the accompanying drawings.

[0050] Figure 1 A flow chart of an intelligent operation method of a disinfectant preparation system;

[0051] Figure 2 The framework diagram of an intelligent operating device for a disinfectant preparation system. DETAILED DESCRIPTION

[0052] 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.

[0053] Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in the field without making any creative work shall fall within the scope of protection of the present invention.

[0054] The embodiment of the present invention provides an intelligent operation method of a disinfectant preparation system. Figure 1 , Figure 1 A flowchart of an intelligent operation method of a disinfectant preparation system provided by an embodiment of the present invention. The method comprises the following steps:

[0055] The time from the initial start of the disinfectant preparation system to the current time is recorded as the target time interval, and the flow data of the water pump in the target time interval is obtained, and the flow reduction coefficient is calculated according to the flow data of the water pump;

[0056] Acquire temperature adjustment data of the temperature control system within the target time interval, and calculate the temperature deviation accumulation coefficient according to the temperature adjustment data of the temperature control system;

[0057] Obtain pipeline pressure data within a target time interval, and calculate pipeline pressure fluctuation coefficient based on the pipeline pressure data;

[0058] The equipment operation failure coefficient is obtained according to the flow drop coefficient, the temperature deviation accumulation coefficient and the pipeline pressure fluctuation coefficient, and the equipment operation failure coefficient is compared with the preset equipment operation failure coefficient threshold value, and the disinfectant preparation system is operated according to the comparison result.

[0059] Based on the intelligent operation method of a disinfectant preparation system provided in an embodiment of the present invention, the hidden faults of the disinfectant preparation system can be detected through the above method, and the disinfectant preparation system can be intelligently operated according to the detection results, thereby reducing faults in production and ensuring normal production efficiency.

[0060] In one embodiment, calculating the flow rate drop coefficient according to the flow rate data of the water pump includes:

[0061] The target time interval is divided into several sub-intervals according to the preset time window, and the water pump flow rate of each sub-interval is obtained to obtain a water pump flow rate sequence based on the time sequence; the order of the water pump flow rate sequence should be consistent with the time interval, that is, the flow rate of the first sub-interval is the first item of the sequence, the flow rate of the second sub-interval is the second item, and so on;

[0062] Draw a time-pump flow line graph based on the pump flow sequence, with the x-axis representing time (divided by sub-intervals) and the y-axis representing the pump flow;

[0063] Calculate the average slope of the time-pump flow line graph and use the average slope as the flow drop coefficient.

[0064] It should be noted that the preset time window is set by professionals based on actual circumstances and is not specifically limited or elaborated.

[0065] It should be noted that in the above steps of calculating the flow reduction coefficient of the disinfectant preparation system, the data is mainly acquired through an integrated sensor system and a data acquisition module; specifically, the flow data of the water pump can be collected in real time through sensors installed on the water pump; the sensor transmits the collected data to the central control system or data acquisition platform through a communication network, and the system will automatically record, store and process the data to ensure the real-time and accuracy of the data.

[0066] It should be noted that the flow rate drop coefficient refers to the degree to which the water pump flow rate in the disinfectant preparation system gradually decreases; the greater the degree to which the water pump flow rate gradually decreases, the more likely it is that there is a hidden fault in the equipment of the disinfectant preparation system. If the fault is not diagnosed and handled in the early stage, it may cause more serious faults or reduced production efficiency in subsequent production. The reason is that the gradual decrease in water pump flow is usually a manifestation of the gradual failure of certain components or functions in the system. For example, problems such as wear of the water pump impeller, pipe blockage, seal damage, or pump motor failure may not immediately cause obvious faults in the early stage, but will gradually affect the operating efficiency and flow output of the water pump. If these hidden faults are not diagnosed and handled in time in the early stage of flow decline, the problem may be aggravated, causing the water pump flow rate to further decrease or even completely stop operating, thereby affecting the normal operation of the entire disinfectant preparation system. This hidden fault is often manifested as a gradual decrease in equipment operating efficiency rather than a sudden fault. Therefore, if it is not effectively identified and handled in the early stage, it will often cause more serious equipment failures in the subsequent production process, resulting in production interruptions, reduced efficiency, and even possible safety risks. By timely monitoring and analyzing the flow drop factor, these potential problems can be discovered as early as possible, thus avoiding greater losses and equipment downtime.

[0067] In one implementation, the benefits of analyzing the flow drop coefficient for determining whether there are potential equipment failures in the disinfectant preparation system are as follows: First, the flow drop coefficient can quantify the trend of the pump flow rate over time and help monitor the operating status of the equipment in real time. Through a detailed analysis of the flow drop, the magnitude and speed of the flow drop can be identified in time, and then it can be determined whether there is a potential equipment failure or efficiency decline. Since many equipment failures, especially hidden failures, usually gradually appear over a long period of time, the flow drop coefficient can detect problems in advance by reflecting this gradual process. Early failures often manifest as a slight flow drop. If this trend can be captured in the early stage through the change of the flow drop coefficient, preventive maintenance measures can be taken in time to avoid more serious equipment failures, reduced production efficiency or shutdowns. Secondly, analyzing the flow drop coefficient can also help optimize the system's operating parameters and maintenance plans, reduce unnecessary inspections and downtime, save maintenance costs, and increase the service life of the equipment and the overall stability of the system. Therefore, the flow drop coefficient is not only an important tool for fault diagnosis, but also a key indicator for improving the operating efficiency and reliability of the disinfectant preparation system.

[0068] In one embodiment, calculating the temperature deviation accumulation coefficient according to the temperature adjustment data of the temperature control system includes:

[0069] Obtain the number of times the temperature control system performs temperature adjustment within the target time interval, and record the actual adjusted temperature value and the corresponding preset adjusted temperature value each time the temperature is adjusted, and mark the actual adjusted temperature value and the corresponding preset adjusted temperature value as G respectively. k and T k , k represents the order number of the temperature control system's temperature adjustment times, k∈[1,n], and n is a positive integer;

[0070] According to G k and T k Calculate the temperature deviation cumulative coefficient, the calculation formula is: WQ=|G k -T k |, where WQ is the temperature deviation accumulation coefficient.

[0071] It should be noted that in the above-mentioned step of calculating the temperature deviation cumulative coefficient of the disinfectant preparation system, the method of acquiring data mainly depends on the sensors and data acquisition equipment in the temperature control system. The temperature control system monitors and records the current temperature value in real time through the temperature sensor, and compares it with the preset target temperature. Whenever the temperature control system adjusts the temperature, the system automatically records the actual adjusted temperature value and the preset target temperature value, and transmits these data to the central control platform through the data acquisition system. In this way, the system can accurately capture the temperature data of each adjustment, and update the records in real time to ensure the accuracy and completeness of the data during the calculation process. These temperature data can be transmitted regularly through the network interface or built-in storage device to support subsequent temperature deviation calculations and fault warning analysis.

[0072] It should be noted that the temperature deviation cumulative coefficient refers to the degree of difference between the actual adjusted temperature value and the preset temperature value each time the temperature control system in the disinfectant preparation system adjusts the temperature; if the degree of difference between the actual adjusted temperature value and the preset temperature value is greater, it means that the equipment of the disinfectant preparation system may have hidden faults. If the fault is not diagnosed and handled in the early stage, it may cause more serious faults or reduced production efficiency in subsequent production, because the degree of difference between the actual temperature value and the preset temperature value during the adjustment process of the temperature control system reflects the accuracy and responsiveness of the temperature control equipment. If the temperature adjustment difference is too large, it may mean that there are some hidden faults in the temperature control system, such as sensor inaccuracy, slow response of temperature control valves, reduced efficiency of heating / cooling devices, etc. Although these faults may not immediately cause system shutdown or serious failures in the early stage, long-term accumulation may lead to unstable temperature adjustment, affecting the accuracy and quality control of the disinfectant preparation process. If these faults are not discovered and handled in time, they may cause more serious equipment failures in the subsequent production process, such as temperature control failure or equipment damage, which will lead to reduced production efficiency, waste of resources and even safety hazards. Therefore, early identification of abnormal temperature deviations and maintenance and calibration of the temperature control system can effectively avoid continued degradation of equipment performance and ensure the stable operation of the disinfectant preparation system.

[0073] In one implementation, the benefits of analyzing the temperature deviation cumulative coefficient for determining whether there are potential equipment failures in the disinfectant preparation system are as follows: First, the temperature deviation cumulative coefficient can effectively reveal the adjustment accuracy of the temperature control system over the entire time interval, and help identify whether the temperature control equipment has deviations or slow responses. By accumulating and analyzing the deviations of each temperature adjustment, signs of gradual failure of the temperature control system can be found, even if such failures may not have a significant impact on the production process in the short term. Any minor abnormalities in the temperature control system, if not diagnosed and handled in a timely manner, may gradually lead to more serious equipment failures, thereby affecting the production efficiency and quality stability of the entire disinfectant preparation system. Through continuous monitoring of the temperature deviation cumulative coefficient, the system can issue an alarm early and implement preventive maintenance before the equipment failure affects the production quality, thereby avoiding the high cost of production stagnation, waste of resources or equipment damage. In addition, the coefficient can also help technicians optimize system settings, improve the efficiency and stability of equipment use, and extend the life cycle of equipment. In summary, the temperature deviation cumulative coefficient is not only an important indicator for fault diagnosis, but also a key tool for optimizing the production process and ensuring the long-term reliable operation of equipment.

[0074] In one embodiment, calculating the pipeline pressure fluctuation coefficient according to the pipeline pressure data includes:

[0075] Obtain the pipeline pressure within the target time interval and obtain a pipeline pressure sequence based on time sequence; calibrate the pipeline pressure in the pipeline pressure sequence as Q w , w represents the order number of the pipeline pressure in the pipeline pressure sequence, w∈[1,u], u is the total number of pipeline pressures in the pipeline pressure sequence, and u is a positive integer;

[0076] Calculate the mean of the pipeline pressure series using the following formula:

[0077] Calculate the pipeline pressure fluctuation coefficient, the calculation formula is:

[0078]

[0079] Where DG is the pipeline pressure fluctuation coefficient.

[0080] It should be noted that in the above-mentioned step of calculating the pipeline pressure fluctuation coefficient of the disinfectant preparation system, the method of acquiring data mainly depends on the pressure sensors installed in the pipeline. These sensors monitor the pressure changes inside the pipeline in real time, and transmit the measured pressure data to the central control system through the data acquisition system. The sensor usually collects data regularly according to preset time intervals to ensure the real-time and accuracy of the pressure data. Within the target time interval, the system automatically records the pipeline pressure at each moment and forms a pressure data sequence. These data can be transmitted to the control center via wired or wireless communication, or directly stored in a local database for subsequent analysis.

[0081] It should be noted that the pipeline pressure fluctuation coefficient refers to the pressure fluctuation degree of the pipeline of the disinfectant preparation system; if the pressure fluctuation degree of the pipeline is greater, it means that there may be hidden faults in the equipment of the disinfectant preparation system. If the fault is not diagnosed and handled in the early stage, it may cause more serious faults or reduced production efficiency in subsequent production. The reason is that the fluctuation of pipeline pressure usually reflects the stability of the system and the health of the equipment. If the pipeline pressure fluctuates greatly, it may mean that there are problems such as bubbles, blockages, pipeline damage or unstable operation of the pump in the system. These problems usually cause unstable flow, uneven disinfectant preparation process, and may even cause excessive wear of equipment or accumulation of faults. If these problems are not diagnosed in time in the early stage, they may not have a significant impact on the preparation quality of the disinfectant in the short term, but over time, these hidden faults may further deteriorate, causing equipment failure or damage, and then affecting the operating efficiency and preparation accuracy of the entire system. More seriously, if these potential faults are not repaired in time, they may lead to production stagnation, waste of raw materials, increased maintenance costs, and even endanger production safety. Therefore, early identification and handling of abnormal pipeline pressure fluctuations can effectively prevent the spread of faults and ensure the stable operation and production efficiency of the disinfectant preparation system.

[0082] In one implementation, the benefits of analyzing the pipeline pressure fluctuation coefficient for determining whether there are potential equipment failures in the disinfectant preparation system are: the pipeline pressure fluctuation coefficient can quantitatively reflect the stability of the pipeline system and help monitor the degree of pressure change. If the fluctuation coefficient is high, it means that there may be unstable factors inside the pipeline, such as changes in fluid resistance, bubble generation, pump load fluctuations, etc., which are early signals of equipment failure or abnormal system operation. By continuously monitoring and analyzing pipeline pressure fluctuations, hidden dangers can be discovered in time before equipment problems become serious, avoiding the expansion of failures and the decline of production efficiency. Secondly, as a dynamic indicator, the pipeline pressure fluctuation coefficient can help engineers more accurately identify potential problems that are not easy to detect, guide maintenance and optimization work, and reduce system downtime and maintenance costs. Moreover, the changing trend of the fluctuation coefficient can also provide information on the health status of the system operation, thereby providing data support for long-term equipment maintenance. In summary, the pipeline pressure fluctuation coefficient is not only an important tool for fault diagnosis, but also a key indicator for optimizing production processes, improving system stability and reducing cost expenditures.

[0083] In one embodiment, the equipment operation failure coefficient is obtained according to the flow drop coefficient, the temperature deviation accumulation coefficient and the pipeline pressure fluctuation coefficient, including:

[0084] HJU=(1-a1×FH)++a2×WQ+ln(a3×DG+1)

[0085] Where HJU is the equipment operation failure coefficient, FH, WQ, and DG are the flow drop coefficient, temperature deviation accumulation coefficient, and pipeline pressure fluctuation coefficient, respectively; a1, a2, and a3 are the preset proportional coefficients of FH, WQ, and DG, respectively, and a1, a2, and a3 are all greater than 0.

[0086] It should be noted that a1, a2, and a3 are set by professionals based on actual conditions. Generally, the sum of a1, a2, and a3 is 1, and the specific values ​​are not limited. In addition, before calculating the equipment operation failure coefficient, it is necessary to calculate the flow drop coefficient, temperature deviation accumulation coefficient, and pipeline pressure fluctuation coefficient without units.

[0087] In one embodiment, comparing the equipment operation failure coefficient with a preset equipment operation failure coefficient threshold, and operating the disinfectant preparation system according to the comparison result includes:

[0088] If the equipment operation failure coefficient is not less than the preset equipment operation failure coefficient threshold, it means that there is a hidden failure in the equipment of the disinfectant preparation system. At this time, all operations of the disinfectant preparation system are immediately stopped and a failure warning signal is issued;

[0089] If the equipment operation failure coefficient is less than the preset equipment operation failure coefficient threshold, it means that there is no hidden failure in the equipment of the disinfectant preparation system. At this time, all operations of the disinfectant preparation system are still carried out according to the original plan.

[0090] It should be noted that the preset equipment operation failure coefficient threshold is set by professionals based on actual conditions and is not limited or elaborated on in detail.

[0091] It should be noted that when the equipment operation failure coefficient is not less than the preset equipment operation failure coefficient threshold, it means that the equipment's operating status may have reached or exceeded the critical point of failure risk, and the impact of hidden failures can no longer be ignored. In this case, the system will immediately stop all operations to prevent the failure from further deteriorating, causing production stagnation or safety hazards. At the same time, the system will issue a fault warning signal to notify the operator to conduct inspections and maintenance, diagnose and repair the fault in a timely manner, ensure that the equipment resumes normal operation, and prevent greater losses.

[0092] If the equipment operation failure coefficient is less than the preset equipment operation failure coefficient threshold, it means that the equipment is in a normal or relatively healthy working state and the risk of failure is low. In this case, the disinfectant preparation system can continue to operate as planned without emergency stop or intervention measures. This mechanism can effectively improve the automation and response speed of the system while avoiding unnecessary downtime and waste of resources.

[0093] Based on the same inventive concept, the present invention also provides an intelligent operation device for a disinfectant preparation system. Figure 2 , Figure 2 A framework diagram of an intelligent operation device for a disinfectant preparation system provided by an embodiment of the present invention, the device comprising:

[0094] Flow reduction module: record the time from the initial start of the disinfectant preparation system to the current time as the target time interval, obtain the flow data of the water pump within the target time interval, and calculate the flow reduction coefficient based on the flow data of the water pump;

[0095] Temperature deviation accumulation module: obtains the temperature adjustment data of the temperature control system within the target time interval, and calculates the temperature deviation accumulation coefficient based on the temperature adjustment data of the temperature control system;

[0096] Pipeline pressure fluctuation module: obtains pipeline pressure data within the target time interval and calculates pipeline pressure fluctuation coefficient based on pipeline pressure data;

[0097] Operation module: The equipment operation failure coefficient is obtained according to the flow drop coefficient, the temperature deviation accumulation coefficient and the pipeline pressure fluctuation coefficient, and the equipment operation failure coefficient is compared with the preset equipment operation failure coefficient threshold value, and the disinfectant preparation system is operated according to the comparison result.

[0098] Based on the intelligent operation device of a disinfectant preparation system provided in an embodiment of the present invention, the hidden faults of the disinfectant preparation system can be detected through the above method, and the disinfectant preparation system can be intelligently operated according to the detection results, thereby reducing faults in production and ensuring normal production efficiency.

[0099] In one embodiment, the flow reduction module includes:

[0100] Water pump flow module: divide the target time interval into several sub-intervals according to the preset time window, obtain the water pump flow in each sub-interval, and obtain the water pump flow sequence based on time sequence;

[0101] Flow reduction coefficient module: Draw a time-pump flow line graph based on the pump flow sequence, calculate the average slope of the time-pump flow line graph, and use the average slope as the flow reduction coefficient.

[0102] In one embodiment, the temperature deviation accumulation module includes:

[0103] Marking module: obtains the number of times the temperature control system adjusts the temperature within the target time interval, and records the actual adjusted temperature value and the corresponding preset adjusted temperature value each time the temperature is adjusted, and marks the actual adjusted temperature value and the corresponding preset adjusted temperature value as G respectively. k and T k , k represents the order number of the temperature control system's temperature adjustment times, k∈[1,n], and n is a positive integer;

[0104] Temperature deviation cumulative coefficient module: According to G k and T k Calculate the temperature deviation cumulative coefficient, the calculation formula is: WQ=|G k -T k |, where WQ is the temperature deviation accumulation coefficient.

[0105] In one embodiment, the pipeline pressure fluctuation module includes:

[0106] Calibration module: obtain the pipeline pressure in the target time interval and obtain the pipeline pressure sequence based on time sequence; calibrate the pipeline pressure in the pipeline pressure sequence as Q w , w represents the sequence number of the pipeline pressure in the pipeline pressure sequence, w=1, 2, 3, 4, ..., u, u is the total number of pipeline pressures in the pipeline pressure sequence, and u is a positive integer;

[0107] Mean module: Calculate the mean of the pipeline pressure series. The calculation formula is:

[0108] Pipeline pressure fluctuation coefficient module: Calculate the pipeline pressure fluctuation coefficient. The calculation formula is:

[0109]

[0110] Where DG is the pipeline pressure fluctuation coefficient.

[0111] In one embodiment, the operation module includes:

[0112] Equipment operation failure coefficient calculation module: HJU = (1-a1×FH)++a2×WQ+ln(a3×DG+1), where HJU is the equipment operation failure coefficient, FH, WQ, and DG are flow drop coefficient, temperature deviation accumulation coefficient, and pipeline pressure fluctuation coefficient, respectively, and a1, a2, and a3 are preset proportional coefficients of FH, WQ, and DG, respectively, and a1, a2, and a3 are all greater than 0;

[0113] First comparison operation module: if the equipment operation failure coefficient is not less than the preset equipment operation failure coefficient threshold, it means that there is a hidden failure in the equipment of the disinfectant preparation system. At this time, all operations of the disinfectant preparation system are immediately stopped and a fault warning signal is issued;

[0114] Second comparison operation module: If the equipment operation failure coefficient is less than the preset equipment operation failure coefficient threshold, it means that there is no hidden failure in the equipment of the disinfectant preparation system. At this time, all operations of the disinfectant preparation system are still carried out according to the original plan.

[0115] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be used to artificially limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. An intelligent operation method for a disinfectant preparation system, characterized in that: The following steps are involved: The time from the initial start of the disinfectant preparation system to the current time is recorded as the target time interval, and the flow data of the water pump in the target time interval is obtained, and the flow reduction coefficient is calculated according to the flow data of the water pump; Acquire temperature adjustment data of the temperature control system within the target time interval, and calculate the temperature deviation accumulation coefficient according to the temperature adjustment data of the temperature control system; Obtain pipeline pressure data within a target time interval, and calculate pipeline pressure fluctuation coefficient based on the pipeline pressure data; The equipment operation failure coefficient is obtained according to the flow drop coefficient, the temperature deviation accumulation coefficient and the pipeline pressure fluctuation coefficient, and the equipment operation failure coefficient is compared with the preset equipment operation failure coefficient threshold value, and the disinfectant preparation system is operated according to the comparison result.

2. The intelligent operation method of a disinfectant preparation system according to claim 1, characterized in that: Calculation of flow reduction coefficient based on pump flow data includes: Divide the target time interval into several sub-intervals according to the preset time window, and obtain the water pump flow rate of each sub-interval to obtain a water pump flow rate sequence based on time sequence; Draw a time-pump flow line graph based on the pump flow sequence, calculate the average slope of the time-pump flow line graph, and use the average slope as the flow drop coefficient.

3. The intelligent operation method of a disinfectant preparation system according to claim 1, characterized in that: Calculating the temperature deviation accumulation coefficient based on the temperature adjustment data of the temperature control system includes: Obtain the number of times the temperature control system performs temperature adjustment within the target time interval, and record the actual adjusted temperature value and the corresponding preset adjusted temperature value each time the temperature is adjusted, and mark the actual adjusted temperature value and the corresponding preset adjusted temperature value as G respectively. k and T k , k represents the order number of the temperature control system's temperature adjustment times, k∈[1,n], and n is a positive integer; According to G k and T k Calculate the temperature deviation cumulative coefficient, the calculation formula is: WQ=|G k -T k |, where WQ is the temperature deviation accumulation coefficient.

4. The intelligent operation method of a disinfectant preparation system according to claim 1, characterized in that: Calculation of pipeline pressure fluctuation coefficient based on pipeline pressure data includes: Obtain the pipeline pressure within the target time interval and obtain a pipeline pressure sequence based on time sequence; calibrate the pipeline pressure in the pipeline pressure sequence as Q w , w represents the order number of the pipeline pressure in the pipeline pressure sequence, w∈[1,u], u is the total number of pipeline pressures in the pipeline pressure sequence, and u is a positive integer; Calculate the mean of the pipeline pressure series Calculate the pipeline pressure fluctuation coefficient, the calculation formula is: Where DG is the pipeline pressure fluctuation coefficient.

5. The intelligent operation method of a disinfectant preparation system according to claim 1, characterized in that: The equipment operation failure coefficients obtained based on the flow drop coefficient, temperature deviation accumulation coefficient and pipeline pressure fluctuation coefficient include: HJU=(1-a1×FH)++a2×WQ+ln(a3×DG+1) Wherein, HJU is the equipment operation failure coefficient, FH, WQ, and DG are the flow drop coefficient, temperature deviation accumulation coefficient, and pipeline pressure fluctuation coefficient, respectively; a1, a2, and a3 are the preset proportional coefficients of FH, WQ, and DG, respectively, and a1, a2, and a3 are all greater than 0; Compare the equipment operation failure coefficient with the preset equipment operation failure coefficient threshold, and operate the disinfectant preparation system according to the comparison result, including: If the equipment operation failure coefficient is not less than the preset equipment operation failure coefficient threshold, it means that there is a hidden failure in the equipment of the disinfectant preparation system. At this time, all operations of the disinfectant preparation system are immediately stopped and a failure warning signal is issued; If the equipment operation failure coefficient is less than the preset equipment operation failure coefficient threshold, it means that there is no hidden failure in the equipment of the disinfectant preparation system. At this time, all operations of the disinfectant preparation system are still carried out according to the original plan.

6. An intelligent operation device for a disinfectant preparation system, characterized in that: The device comprises: Flow reduction module: record the time from the initial start of the disinfectant preparation system to the current time as the target time interval, obtain the flow data of the water pump within the target time interval, and calculate the flow reduction coefficient based on the flow data of the water pump; Temperature deviation accumulation module: obtains the temperature adjustment data of the temperature control system within the target time interval, and calculates the temperature deviation accumulation coefficient based on the temperature adjustment data of the temperature control system; Pipeline pressure fluctuation module: obtains pipeline pressure data within the target time interval and calculates pipeline pressure fluctuation coefficient based on pipeline pressure data; Operation module: The equipment operation failure coefficient is obtained according to the flow drop coefficient, the temperature deviation accumulation coefficient and the pipeline pressure fluctuation coefficient, and the equipment operation failure coefficient is compared with the preset equipment operation failure coefficient threshold value, and the disinfectant preparation system is operated according to the comparison result.

7. The intelligent operation device of a disinfectant preparation system according to claim 6, characterized in that: The flow reduction module comprises: Water pump flow module: divide the target time interval into several sub-intervals according to the preset time window, obtain the water pump flow in each sub-interval, and obtain the water pump flow sequence based on time sequence; Flow reduction coefficient module: Draw a time-pump flow line graph based on the pump flow sequence, calculate the average slope of the time-pump flow line graph, and use the average slope as the flow reduction coefficient.

8. The intelligent operation device of a disinfectant preparation system according to claim 6, characterized in that: The temperature deviation accumulation module comprises: Marking module: obtains the number of times the temperature control system adjusts the temperature within the target time interval, and records the actual adjusted temperature value and the corresponding preset adjusted temperature value each time the temperature is adjusted, and marks the actual adjusted temperature value and the corresponding preset adjusted temperature value as G respectively. k and T k , k represents the order number of the temperature control system's temperature adjustment times, k∈[1,n], and n is a positive integer; Temperature deviation cumulative coefficient module: According to G k and T k Calculate the temperature deviation cumulative coefficient, the calculation formula is: WQ=|G k -T k |, where WQ is the temperature deviation accumulation coefficient.

9. The intelligent operation device of a disinfectant preparation system according to claim 6, characterized in that: The pipeline pressure fluctuation module comprises: Calibration module: obtain the pipeline pressure in the target time interval and obtain the pipeline pressure sequence based on time sequence; calibrate the pipeline pressure in the pipeline pressure sequence as Q w , w represents the sequence number of the pipeline pressure in the pipeline pressure sequence, w=1, 2, 3, 4, ..., u, u is the total number of pipeline pressures in the pipeline pressure sequence, and u is a positive integer; Pipeline pressure fluctuation coefficient module: calculates the mean of the pipeline pressure sequence and the pipeline pressure fluctuation coefficient. The calculation formula is: Where DG is the pipeline pressure fluctuation coefficient.

10. The intelligent operation device of a disinfectant preparation system according to claim 6, characterized in that: The operation module includes: Equipment operation failure coefficient calculation module: HJU = (1-a1×FH)++a2×WQ+ln(a3×DG+1), where HJU is the equipment operation failure coefficient, FH, WQ, and DG are flow drop coefficient, temperature deviation accumulation coefficient, and pipeline pressure fluctuation coefficient, respectively, and a1, a2, and a3 are preset proportional coefficients of FH, WQ, and DG, respectively, and a1, a2, and a3 are all greater than 0; First comparison operation module: if the equipment operation failure coefficient is not less than the preset equipment operation failure coefficient threshold, it means that there is a hidden failure in the equipment of the disinfectant preparation system. At this time, all operations of the disinfectant preparation system are immediately stopped and a fault warning signal is issued; Second comparison operation module: If the equipment operation failure coefficient is less than the preset equipment operation failure coefficient threshold, it means that there is no hidden failure in the equipment of the disinfectant preparation system. At this time, all operations of the disinfectant preparation system are still carried out according to the original plan.

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