A water plant industrial control equipment status monitoring system
By designing an industrial control equipment status monitoring system in the water production plant, the problems of operating status monitoring and intelligent early warning of water production plant equipment are solved, and the multimorphic distinction and intelligent monitoring of equipment operation status are realized, and the water production efficiency and resource utilization balance are improved.
Patent Information
- Application Number
- CN202311702556.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-12-12
- Publication Date
- 2025-05-13
- Estimated Expiration
- 2043-12-12
AI Technical Summary
The existing water production plants lack effective monitoring and intelligent early warning of the operating status of industrial control equipment during the water production process, which makes it difficult to accurately determine the operating status of equipment, and cannot achieve intelligent monitoring of equipment performance and multimorphic fault identification, which in turn affects the water production efficiency and resource utilization balance.
A water plant industrial control equipment status monitoring system is designed, including power data detection module, operation control analysis module, operation status analysis module, operation stability maintenance judgment module and performance evaluation and early warning module. Through these modules, the operating status of industrial control equipment is monitored, analyzed and warned in real time to realize the multimorphic distinction and intelligent monitoring of equipment operation status.
It realizes accurate monitoring and intelligent early warning of the operating status of industrial control equipment, can timely judge the operating performance and stability level of equipment, improve the operating efficiency and resource utilization balance of water production plant equipment, and reduce the problem of overflow or stagnation in the water production link.
Smart Images

Figure CN117724418B_ABST
Abstract
Description
Technical Field
[0001] The invention belongs to the technical field of water plant equipment monitoring, and relates to a water plant industrial control equipment status monitoring system. Background Art
[0002] A water plant refers to a place where natural water sources are taken, treated and distributed. The importance and significance of its water supply are very significant. The specific significance is as follows: 1. To ensure people's life and health. Water is the source of life, and people need safe and reliable drinking water to maintain their health. The water plant can effectively ensure the safety and hygiene of people's drinking water through the treatment processes such as water intake, purification and disinfection of water sources. 2. To promote the development of cities and the economy. Water is the foundation of urban and economic development. The water supply of water plants can meet people's needs in drinking, production, agriculture, industry and other aspects, and promote the development of cities and the economy. 3. To protect the ecological environment. By treating water sources, water plants can reduce water pollution and water quality deterioration, thereby protecting the ecological environment and the living environment of aquatic organisms. 4. To improve the efficiency of water resource utilization. The water plant can improve the efficiency and utilization rate of water resources by treating and distributing water sources, so that the balance of water supply and demand can be maintained. Therefore, water plants are of great significance to people's lives, health, urban and economic development, ecological environment and water resources utilization.
[0003] In the water production process of existing water plants, due to the lack of monitoring of the operating status of equipment related to the water production link and the inability to distinguish and define multiple operating states of equipment from normal operation to faulty operation according to the polymorphism of equipment performance degradation, it is impossible to accurately judge the degree of stability of equipment during operation according to the equipment operating status and to intelligently monitor and warn of equipment operating performance. In addition, due to the large number of types of equipment in the water plant and the lack of information on equipment operation and maintenance, there is a lack of balance and coordination between the operation of equipment and the water storage capacity of the two adjacent water production links, which easily leads to overflow or stagnation of the storage capacity of the water production link, and the water production control between equipment operation and storage capacity cannot be guaranteed, resulting in poor water production efficiency and poor resource utilization balance. Summary of the invention
[0004] The purpose of the present invention is to provide a water plant industrial control equipment status monitoring system, which solves the problems existing in the prior art.
[0005] The purpose of the present invention can be achieved through the following technical solutions:
[0006] A water plant industrial control equipment status monitoring system, including a power data detection module for detecting power data during the operation of equipment in each water production link of the water plant, and also including an operation control analysis module, an operation status analysis module, an operation stability determination module and a performance evaluation early warning module;
[0007] The operation control and analysis module is used to establish the correlation between various devices, extract the water production volume of the water production link mapped to each industrial control device, and perform control and analysis on the current operation of each industrial control device based on the water production volume of the water production link mapped to each industrial control device;
[0008] The operation status analysis module extracts the power data of each device in the operation state, analyzes the working efficiency of each device in the current operation state, classifies and analyzes the operation state of the device according to the working efficiency of the device, and determines the operation state of the device during operation;
[0009] The operation and stability determination module is used to extract the operation status of each device, train the stability coefficient of each device from the current operation status to a different operation status, and establish the state conversion coefficient of the same device from a different operation status to another operation status;
[0010] The performance evaluation and early warning module is used to extract the current operating status of the equipment after operation adjustment and the operating maintenance time in this operating status, and evaluate the operating performance of the equipment in the water production link in combination with the state stability coefficient of the equipment in this operating status, obtain the performance evaluation coefficient, and determine whether the performance evaluation coefficient is less than the set performance evaluation threshold. If it is less than the set performance evaluation threshold, a performance maintenance early warning reminder is issued.
[0011] Furthermore, the operation control and analysis module performs control and analysis on the current operation of each industrial control device. The analysis method is:
[0012] Step 1, extracting the maximum water treatment capacity Dimax currently allowed by the equipment in the i-th water production link;
[0013] Step 2: determine whether the water treatment capacity of the equipment in the adjacent i+1th water treatment link is within the allowable range, and the allowable range (0.95-1.02) Dimax is determined by the water production capacity of the equipment in the i-th water treatment link;
[0014] Step 3: If it is not within the allowed range, obtain the power of the current i-th industrial control device in the operating state, and continue to judge. If it is less than the allowed range, execute step 4; if it is greater than the allowed range, execute step 5;
[0015] Step 4: determine whether the power of the current i+1th device in the operating state is equal to the rated power. If it is equal to the rated power, the operation of the current device cannot be adjusted further. If it is less than the rated power, the power of the industrial control device in the operating state is increased until it is equal to the rated power or the water production of the industrial control device in the i-th water treatment link is within the range allowed by the industrial control device in the previous water production link.
[0016] Step 5: Reduce the power of the i+1th device in the operating state until the water production of the device in the i+1th water production link is within the range allowed by the industrial control equipment in the previous water production link.
[0017] Furthermore, each device is divided into several operating states, and h operating states constitute a state set Ri, Ri = {r i 1,r i 2,...,r i f,...,r i h}, the operating status of each device is determined by the working efficiency of the device, i = 1, 2, ..., n, n is the number of devices that affect the water production efficiency or quality of the water treatment plant, r i 1 means the i-th device is in the first operating state, which is a normal operating state, r i f is the fth operating state of the ith device, and is the fault operating state. i 1,r i 2,...,r i The performance state under f gradually decreases.
[0018] Furthermore, a set of equipment state stability coefficients is constructed: Pi = {p i 1,p i 2,...,p i f,...,p i h}, in the actual operation process of each device, as time goes by, the probability of the operating state of the device will tend to a stable value, that is, And p i f≥0,p i f is the state stability coefficient of the i-th device in the f-th operating state, f∈h,
[0019] Furthermore, a method for training each device in a state maintenance process to obtain a state stability coefficient of each device in each operating state includes the following steps:
[0020] Step 1: Obtain the state occurrence rate α of each device directly switching from the kth operating state to the fth operating state in the previous detection data i kf;
[0021] Step 2: Simultaneously extract the maintenance occurrence rate β of the equipment switching from the fth operating state to the kth operating state i fk;
[0022] Step 3: Analyze the state stability coefficient of the equipment in each operating state.
[0023] Furthermore, the conversion model of the operating state of the equipment under the maintenance state is adopted to construct the state maintenance coefficient expression of the equipment under each operating state:
[0024] k=1,2,...,h, when k takes the values 1,2,...,h, respectively, h expression groups are obtained, and combined with Finally, the state stability coefficient p of the i-th device in the f-th operating state is obtained i f is a specific value, and f=1,2,...,h.
[0025] Furthermore, the state conversion coefficient of the same device from different operating states to other operating states is:
[0026] μ i kf=p i k*a i kf, the state transition coefficient can predict the probability of each device switching from different operating states to other operating states.
[0027] Furthermore, the calculation formula of the performance evaluation coefficient is: , It is represented by the performance evaluation coefficient corresponding to the operating state of the i-th device after operation adjustment. The performance evaluation coefficient is positively correlated with the device performance. e is a natural number. s represents the operating state where the working efficiency of the device is lower than the set working efficiency threshold. t i Represented as the current operating state of the i-th device x i The operation maintenance time under p i x i It is expressed as the state stability coefficient corresponding to the i-th device in the current operating state. It means that the i-th device switches from other operating states to the current operating state x i Start the calculation, the calculation is based on the running state x i The average switching time to switch to the fth operating state.
[0028] Furthermore, the system also includes a storage adaptation capacity analysis module, a temporary storage warning analysis module, and an operation control coordination module;
[0029] The storage adaptation capacity analysis module is used to obtain the storage capacity of the water production link corresponding to each device and detect the temporary storage capacity of each current water production link, and analyze the maximum additional temporary storage capacity allowed by each current water production link;
[0030] The temporary storage warning analysis module is used to extract the current operating status and status stability coefficient of the equipment in each water production link, and predict the storage additional amount of each water production link accumulated over time;
[0031] The operation control and adjustment module is used to extract the additional storage capacity of each water-making link, analyze the overflow operation time required when the additional storage capacity of each water-making link is greater than the maximum additional temporary storage capacity allowed by the water-making link, or the stagnation operation time when the sum of the additional storage capacity of each water-making link and the temporary storage capacity of the water-making link obtained by the storage adaptation capacity analysis module is less than 0, and balance and coordinate the operation status of the equipment in each water-making link based on the operation time.
[0032] Furthermore, the equipment operation status of each water production link is balanced and coordinated and controlled. The method steps are as follows:
[0033] Step 1, extracting the overflow operation time when each water production link reaches overflow and the stagnation operation time when the water production link is stagnant, and screening out the minimum operation time among all overflow operation time and stagnation operation time;
[0034] Step 2: Filter out the equipment operation status of water production link j under the minimum operation time, and determine the abnormal type under the minimum operation time, the abnormal type includes overflow or stagnation;
[0035] Step 3: simultaneously filter out the equipment operation status of the previous water production link j-1 adjacent to the equipment of the water production link j with the minimum operation time;
[0036] Step 4: According to the abnormality type, determine whether the state maintenance coefficient of the operating state of the equipment in the water production link j is greater than the state maintenance coefficient of the operating state of the equipment in the water production link j-1;
[0037] Step 5: When the storage stagnation state is reached, if the state stability coefficient of the operating state of the equipment in the water production link j is large, the operating state of the equipment in the water production link j-1 is gradually increased, and steps 1-6 are repeated; otherwise, the operating state of the equipment in the water production link j is gradually decreased, and steps 1-6 are repeated;
[0038] Step 6. When it is in the storage overflow state, if the state stability coefficient of the operating state of the equipment in the water production link j is large, the operating state of the equipment in the water production link j-1 is gradually reduced, and steps 1-6 are repeated; otherwise, the operating state of the equipment in the water production link j is gradually increased, and steps 1-6 are repeated.
[0039] Beneficial effects of the present invention:
[0040] The present invention extracts the water production volume of the water production link mapped to each industrial control equipment, manages and analyzes the current operation of each industrial control equipment and makes operational adjustments. It can analyze the water production volume and power of the industrial control equipment of the two related water production links under current operation, balance the operating water production volume between the equipment of the two adjacent water production links, and realize preliminary small-scale regulation of the water production volume during the operation of the equipment.
[0041] The present invention determines the working efficiency of the equipment by analyzing the power data during the operation of the industrial control equipment in each water production link, classifies the operating status of the equipment according to the working efficiency of the equipment, and analyzes the stability coefficient and state conversion coefficient of the equipment when it is transferred from the current operating state to different operating states, thereby accurately assessing the stability of the equipment in each operating state, laying the foundation for adjusting the next water production link according to the state stability coefficient of the equipment in the current operating state in the later stage.
[0042] The present invention uses a performance evaluation and early warning module to conduct a comprehensive analysis of the current operating status and operating maintenance time of the equipment, thereby realizing the evaluation of the operating performance of the equipment in the corresponding water production link. Once the evaluated performance evaluation coefficient is less than the set threshold, the operating status of the equipment is promptly warned and blocking measures for operating status attenuation are implemented, thereby realizing intelligent monitoring and early warning of the equipment operating status.
[0043] The present invention analyzes the additional temporary storage volume of each water production link and the water production rate of each adjacent water production link in the entire water production link, screens out the minimum operating time for stagnation or overflow in each water production link, and balances and coordinates the operating status and storage volume of the equipment in each water production link according to the minimum operating time, so as to improve the water production balance of the entire water production link due to the operating status of the equipment in each water production link, and can ensure that the operating status of the equipment in each water production link is effectively controlled under the restrictions of the overflow operating time and the obstruction operating time, so as to realize the comprehensive coordinated and balanced monitoring and management of the storage and equipment operation of the entire water production link, which is beneficial to improving the water production effect of the water plant, reducing the overflow or stagnation problems of adjacent water production links, and promoting the rationalization of equipment operation. BRIEF DESCRIPTION OF THE DRAWINGS
[0044] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.
[0045] Figure 1 It is a schematic diagram of switching the operating status of the device in the present invention. DETAILED DESCRIPTION
[0046] 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.
[0047] In the existing water plants, once sudden or temporary failures occur in important equipment of the water plants during the water production process, it is impossible to organize personnel to immediately conduct troubleshooting, resulting in the water production line being shut down and waiting, wasting manpower and material resources. In addition, there are many types of equipment in the water plants, and there is a lack of information on equipment operation and maintenance to judge the degree of stability. The balance control of equipment in each water production link is poor, resulting in poor timeliness of operation and maintenance of equipment in each water production link.
[0048] Embodiment 1
[0049] During the water production operation of water plant equipment, equipment aging will lead to degradation of water production performance. There is a large deviation between the two states of "fault" and "normal" in the traditional sense and the polymorphism of equipment performance degradation. Therefore, it is difficult to achieve accurate modeling and analysis of the water production performance of equipment in each water production link.
[0050] A water plant industrial control equipment status monitoring system comprises a power data detection module, an operation control analysis module, an operation status analysis module, an operation stability maintenance determination module and a performance evaluation early warning module.
[0051] The power data detection module is used to detect the power data during the operation of equipment in each water production link of the water plant, and send the detected power data to the operation status analysis module.
[0052] The water production process of a water plant includes sand filtration, carbon filtration, fine filtration, pressurization, reverse osmosis, phosphorus and nitrogen removal, adsorption, disinfection, and water quality adjustment. Each step has at least one industrial control device. During different water production links, each industrial control device needs to continuously process the water treated in the previous water production link to ensure that the drinking water processed by the water plant meets people's living needs. The power consumption, load rate, voltage, current, and temperature of the equipment in the water production link reflect the power parameter information during the operation of the equipment. By uploading the above power data to the industrial control analysis module, it is convenient to analyze the operation of the industrial control equipment and realize real-time power data monitoring of power-consuming equipment.
[0053] The operation control and analysis module is used to establish the correlation between various devices, extract the water production volume of the water production link mapped to each industrial control device, and perform control and analysis on the current operation of each industrial control device based on the water production volume of the water production link mapped to each industrial control device, and make operation adjustments.
[0054] Among them, the correlation between each industrial control equipment is determined by the industrial control equipment required for each treatment process step in the process of raw water being processed to become drinking water. The water production process includes sand filtration, carbon filtration, fine filtration, pressurization, reverse osmosis, phosphorus and nitrogen removal, adsorption, disinfection and water quality adjustment in sequence. The water production process is numbered e, e = 1, 2, ..., E, E is the total number of steps in the water production process, and the correlation coefficient aij between the industrial control equipment corresponding to two adjacent water production processes is 1, that is,
[0055] The operation control and analysis module performs control and analysis on the current operation of each industrial control equipment. The analysis method is as follows:
[0056] Step 1, extracting the maximum water treatment capacity Dimax currently allowed by the equipment in the i-th water production link;
[0057] Step 2: determine whether the water treatment capacity of the equipment in the adjacent i+1th water treatment link is within the allowable range, and the allowable range (0.95-1.02) Dimax is determined by the water production capacity of the equipment in the i-th water treatment link;
[0058] Step 3: If it is not within the allowed range, obtain the power of the current i-th industrial control device in the operating state, and continue to judge. If it is less than the allowed range, execute step 4; if it is greater than the allowed range, execute step 5;
[0059] Step 4: determine whether the power of the current i+1th device in the operating state is equal to the rated power. If it is equal to the rated power, the operation of the current device cannot be adjusted further. If it is less than the rated power, the power of the industrial control device in the operating state is increased until it is equal to the rated power or the water production of the industrial control device in the i-th water treatment link is within the range allowed by the industrial control device in the previous water production link.
[0060] Step 5: Reduce the power of the i+1th device in the operating state until the water production of the device in the i+1th water production link is within the range allowed by the industrial control equipment in the previous water production link.
[0061] By analyzing the water production and power of the industrial control equipment in the two related water treatment links under current operation, and balancing the operating water production between the equipment in the two adjacent water treatment links, it is possible to avoid the problem that the supply of the previous water treatment link cannot meet the demand of the next water treatment link and the supply of the previous water treatment link is greater than the demand of the next water treatment link. This achieves the primary balance and coordination of the operating efficiency and water production of each industrial control equipment, and maximizes the use of each industrial control equipment. The service life of each industrial control equipment is improved, and the difference in operating efficiency between each equipment caused by equipment performance degradation can be alleviated. It is avoided that the equipment at the front end of the water production link cannot continue the front end operation due to the obstruction of the operation of the back end equipment, resulting in the accumulation of water to be processed at the back end, affecting the water production efficiency. When the industrial control equipment in one of the links fails, the subsequent water production process will be unable to continue.
[0062] The operation status analysis module extracts the power data of each device in the operation status, analyzes the working efficiency of each device in the current operation status, classifies and analyzes the operation status of the equipment according to the working efficiency of the equipment, and determines the operation status of the equipment during operation.
[0063] The working efficiency of each device is the ratio between the actual water production of the device under rated voltage and current and the rated water production output under rated voltage and current.
[0064] Since each device has other operating states during operation, from normal state to fault state, in order to facilitate the understanding and analysis of the operation of the device, each device is divided into several operating states, and h operating states constitute the state set Ri, Ri = {r i 1,r i 2,...,r i f,...,r i h}, the operating state of each device is determined by the working efficiency of the device, that is, each operating state corresponds to a working efficiency interval, i = 1, 2, ..., n, n is the number of devices that affect the water production efficiency or quality of the water treatment plant, r i 1 means that the i-th device is in the first operating state, which is a normal operating state. At this time, the working efficiency is between 0.95-1, r i f is the i-th device in the f-th operating state, which is a faulty operating state. At this time, the working efficiency of the device is between 0-0.2, and the same device in each operating state r i 1,r i 2,...,r i The performance status under f gradually decreases, and the various operating states of the same equipment under the same working mode are the equipment operating states corresponding to different fault degrees.
[0065] The operation and stability determination module is used to extract the operating status of each device, train the stability coefficient of each device from the current operating state to a different operating state, and establish the state conversion coefficient of the same device from different operating states to other operating states. The stability coefficient reflects the stability of each device under different operating states.
[0066] As attached Figure 1 As shown, a distribution diagram of each device switching from the fth operating state to the hth operating state is shown.
[0067] Construct the equipment status stability coefficient set: Pi = {p i 1,p i 2,...,p i f,...,p i h}, in the actual operation process of each device, as time goes by, the probability of the operating state of the device will tend to a stable value, that is, And p i f≥0,p i f is the state stability coefficient of the i-th device in the f-th operating state, f∈h,
[0068] The method for training each device in the state maintenance process to obtain the state stability coefficient of each device in each operating state includes the following steps:
[0069] Step 1: Obtain the state occurrence rate α of each device directly switching from the kth operating state to the fth operating state in the previous detection data i kf, c i kf is the number of times the i-th device switches directly from the k-th state to the f-th operating state. It is represented as the total number of times the i-th device switches its operating state from the k-th state, k∈h;
[0070] Step 2: Simultaneously extract the maintenance occurrence rate β of the equipment switching from the fth operating state to the kth operating state i fk, d i fk represents the number of times the i-th device switches from the f-th state to the f-th operating state after maintenance. It is expressed as the total number of times the i-th device switches from the f-th state to other operating states after maintenance;
[0071] Step 3: Analyze the state stability coefficient of the equipment in each operating state.
[0072] The conversion model of the operating state of the equipment under the maintenance state is adopted to construct the state maintenance coefficient expression of the equipment under each operating state:
[0073] k=1,2,...,h, when k takes the values 1,2,...,h, respectively, h expression groups are obtained, and combined with Finally, the state stability coefficient p of the i-th device in the f-th operating state is obtained i f is a specific value, and f=1,2,...,h.
[0074] By training the conversion model of the equipment's operating state and combining the state occurrence rate of the equipment's operating state switching and the fault repair rate during use, the state stability coefficient of the equipment in each operating state is analyzed. The state stability coefficient is used to reflect the degree of stability maintained by the equipment in each operating state, so as to adjust the next water production link in the later stage according to the state stability coefficient of the equipment in the current operating state.
[0075] The state conversion coefficient of the same device from different operating states to other operating states:
[0076] μ i kf=p i k*a i kf, the state transition coefficient can predict the probability of each device switching from different operating states to other operating states.
[0077] The performance evaluation and early warning module is used to extract the current operating status of the equipment after operation adjustment and the operating maintenance time in this operating status, and evaluate the operating performance of the equipment in the water production link in combination with the state stability coefficient of the equipment in this operating status, obtain the performance evaluation coefficient, and determine whether the performance evaluation coefficient is less than the set performance evaluation threshold. If it is less than the set performance evaluation threshold, a performance maintenance early warning reminder is issued to ensure that the operating status of the equipment can basically meet the normal production and processing needs of each water production link.
[0078] Performance evaluation coefficient: , It is represented by the performance evaluation coefficient corresponding to the operating state of the i-th device after operation adjustment. The performance evaluation coefficient is positively correlated with the device performance. e is a natural number. s represents the operating state where the working efficiency of the device is lower than the set working efficiency threshold. t i Represented as the current operating state of the i-th device x i The operation maintenance time under p i x i It is expressed as the state stability coefficient corresponding to the i-th device in the current operating state. It means that the i-th device switches from other operating states to the current operating state x i Start the calculation, the calculation is based on the running state x iThe average switching time to switch to the f-th operating state is calculated by the performance evaluation coefficient, and then the performance attenuation risk probability of switching from the current operating state to an operating state less than the set work efficiency threshold is analyzed. Once it is less than the set performance evaluation threshold, there is a decay of the equipment operating state that cannot meet the production and processing needs of each water production link. It is necessary to promptly warn the operating state of the equipment and implement blocking measures for the decay of the operating state, so as to provide accurate guidance for subsequent emergency measures.
[0079] Embodiment 2
[0080] In the present embodiment one, status monitoring and early warning are performed on the equipment in each water production link in the water production plant to realize effective monitoring of the operating status of the equipment. However, it is unable to process the efficiency of each water production link according to the operating status of the equipment corresponding to each water production link, and thus the water production processing efficiencies of adjacent water production links are different. As time accumulates, the next water production link stagnates due to insufficient water production in the previous water production link, and the operating status of the equipment in the next water production link hinders the water production, resulting in overflow of the water production generated in the previous water production link, and other imbalance problems. The water production efficiency of the water plant is affected by the correlation between the operating status of the equipment and the storage capacity of each water production link, and it is necessary to coordinate the balance between the operating status of the equipment and the storage capacity. In order to solve this problem, new technical features are additionally added on the basis of embodiment one. On the premise of balancing the water production demand of adjacent water production links, the water production processing efficiency of the equipment in each water production link can be maximized.
[0081] The system also includes a storage adaptation capacity analysis module, a temporary storage warning analysis module and an operation control and coordination module.
[0082] The storage adaptation capacity analysis module is used to obtain the storage capacity of the water production link corresponding to each device and detect the temporary storage capacity of each current water production link, and analyze the maximum additional temporary storage capacity allowed by each current water production link;
[0083] Among them, the maximum additional temporary storage capacity allowed in each water production link is equal to the difference between the storage capacity and the real-time storage capacity, and the real-time storage capacity is less than or equal to the storage capacity.
[0084] The temporary storage warning analysis module is used to extract the current operating status and status stability coefficient of the equipment in each water production link, and predict the storage addition amount of each water production link accumulated over time.
[0085] The calculation formula for storage addition is: ,
[0086] p i+1 x i+1 and p i x iThey are respectively represented as the state stability coefficients corresponding to the i+1th device and the ith device in the current operating state, and They represent the water production rates of the i+1th device and the ith device in the current operating state, and They are respectively represented as the water production rates of the i+1th device and the i-th device in the f-th operating state. The water production rates of different devices in the same operating state are different, and the water production rates of the same device in different operating states are different. The higher the working efficiency, the greater the corresponding water production rate.
[0087] The operation control and adjustment module is used to extract the storage addition of each water-making link, analyze the overflow operation time required when the storage addition of each water-making link is greater than the maximum additional temporary storage allowed by the water-making link, or the stagnation operation time when the sum of the storage addition of each water-making link and the temporary storage of the water-making link obtained by the storage adaptation capacity analysis module is less than 0, and balance and coordinate the operation status of the equipment in each water-making link based on the operation time (including overflow operation time and stagnation operation time) to improve the water balance of the entire water-making link caused by the operation status of the equipment in each water-making link, and ensure that the overflow operation time and the obstruction operation time are restricted to effectively control the operation status of the equipment in each water-making link, so as to achieve comprehensive coordinated and balanced management of the storage and equipment operation stability of the entire water-making link, and greatly improve the water-making efficiency under the premise of ensuring the stability of each water-making link.
[0088] Balance and coordinate the operation status of equipment in each water production link. The method and steps are as follows:
[0089] Step 1, extracting the overflow operation time when each water production link reaches overflow and the stagnation operation time when the water production link is stagnant, and screening out the minimum operation time among all overflow operation time and stagnation operation time;
[0090] Step 2: Filter out the equipment operation status of water production link j under the minimum operation time, and determine the abnormal type under the minimum operation time, the abnormal type includes overflow or stagnation;
[0091] Step 3: simultaneously filter out the equipment operation status of the previous water production link j-1 adjacent to the equipment of the water production link j with the minimum operation time;
[0092] Step 4: According to the abnormality type, determine whether the state maintenance coefficient of the operating state of the equipment in the water production link j is greater than the state maintenance coefficient of the operating state of the equipment in the water production link j-1;
[0093] Step 5: When the storage is stagnant, if the state stability coefficient of the operating state of the equipment in the water-making link j is large, the operating state of the equipment in the water-making link j-1 is gradually increased, and steps 1-6 are repeated. If the state stability coefficient of the operating state of the equipment in the water-making link j-1 is large, the operating state of the equipment in the water-making link j is gradually reduced to relieve the water production pressure of the equipment in the j-1th water-making link and the storage pressure of the j+41th water-making links, and steps 1-6 are repeated to achieve regulation of the operating state of the equipment in the adjacent water-making links while maintaining the stability of the equipment operating state;
[0094] Step 6. When it is in the storage overflow state, if the state stability coefficient of the operating state of the equipment in the water production link j is large, the operating state of the equipment in the water production link j-1 is gradually reduced, and steps 1-6 are repeated; if the state stability coefficient of the operating state of the equipment in the water production link j-1 is large, the operating state of the equipment in the water production link j is gradually improved to increase the water production to the jth water production link, and steps 1-6 are repeated.
[0095] A balanced coordination control method is adopted to determine the minimum operating time in each water-making link according to the operating status of the equipment in each water-making link, and to regulate the operating status of adjacent equipment according to the state stability coefficient of the equipment operating status of the water-making link adjacent to the water-making link corresponding to the minimum operating time. With the help of a circulation adjustment method, intelligent coordination processing between the storage in each water-making link and the operation of each equipment is achieved, and intelligent detection and monitoring management of the operation of equipment in the water plant is achieved, which is beneficial to improving the water-making effect of the water plant, reducing overflow or stagnation problems in adjacent water-making links, and promoting the rationalization of equipment operation.
[0096] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset values in the formula are set by technicians in this field according to actual conditions. The size of the coefficient is to quantify each parameter to obtain a specific value for subsequent comparison. Regarding the coefficient and size, as long as it does not affect the proportional relationship between the parameter and the quantized value, it is fine.
[0097] The above contents are merely examples and explanations of the concept of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.
Claims
1. A water plant industrial control equipment status monitoring system, comprising a power data detection module for detecting power data during the operation of industrial control equipment in each water production link of the water plant, characterized in that: It also includes an operation control analysis module, an operation status analysis module, an operation stability determination module, and a performance evaluation and early warning module; The operation control and analysis module is used to establish the correlation between various devices, extract the water production volume of the water production link mapped to each industrial control device, and perform control and analysis on the current operation of each industrial control device based on the water production volume of the water production link mapped to each industrial control device; The operation status analysis module extracts the power data of each device in the operation state, analyzes the working efficiency of each device in the current operation state, classifies and analyzes the operation state of the device according to the working efficiency of the device, and determines the operation state of the device during operation; The operation and stability determination module is used to extract the operation status of each device, train the state stability coefficient of each device from the current operation status to a different operation status, and establish the state conversion coefficient of the same device from a different operation status to another operation status; The performance evaluation and early warning module is used to extract the current operating status of the equipment after operation adjustment and the operating maintenance time in this operating status, and evaluate the operating performance of the equipment in the water production link in combination with the state stability coefficient of the equipment in this operating status, obtain the performance evaluation coefficient, and determine whether the performance evaluation coefficient is less than the set performance evaluation threshold. If it is less than the set performance evaluation threshold, a performance maintenance early warning reminder is issued.
2. A water plant industrial control equipment status monitoring system according to claim 1, characterized in that: The operation control and analysis module performs control and analysis on the current operation of each industrial control equipment. The analysis method is as follows: Step 1, extracting the maximum water treatment capacity Dimax currently allowed by the equipment in the i-th water production link; Step 2: determine whether the water treatment capacity of the equipment in the adjacent i+1th water treatment link is within the allowable range, and the allowable range (0.95-1.02) Dimax is determined by the water production capacity of the equipment in the i-th water treatment link; Step 3: If it is not within the allowed range, obtain the power of the current (i+1)th industrial control device in the operating state, and continue to judge. If it is less than the allowed range, execute step 4; if it is greater than the allowed range, execute step 5; Step 4: determine whether the power of the current i+1th device in the operating state is equal to the rated power. If it is equal to the rated power, the operation of the current device cannot be adjusted further. If it is less than the rated power, the power of the industrial control device in the operating state is increased until it is equal to the rated power or the water production of the industrial control device in the i-th water treatment link is within the range allowed by the industrial control device in the previous water production link. Step 5: Increase the power of the industrial control equipment in the operating state until it is equal to the rated power or the water production of the equipment in the (i+1)th water production link is within the range allowed by the industrial control equipment in the previous water production link.
3. A water plant industrial control equipment status monitoring system according to claim 1, characterized in that: Each device is divided into several operating states, and h operating states constitute a state set Ri, Ri = {r i 1,r i 2,...,r i f,...,r i h}, the operating status of each device is determined by the working efficiency of the device, i = 1, 2, ..., n, n is the number of devices that affect the water production efficiency or quality of the water treatment plant, r i 1 means the i-th device is in the first operating state, which is a normal operating state, r i f is the i-th device in the f-th operating state, which is the fault operating state. The same device in each operating state r i 1,r i 2,...,r i The performance state under f gradually decreases.
4. A water plant industrial control equipment status monitoring system according to claim 1, characterized in that: Construct the equipment status stability coefficient set: Pi = {p i 1,p i 2,...,p i f,...,p i h}, in the actual operation process of each device, as time goes by, the probability of the operating state of the device will tend to a stable value, that is, And p i f≥0,p i f is the state stability coefficient of the i-th device in the f-th operating state, f∈h, 5. A water plant industrial control equipment status monitoring system according to claim 4, characterized in that: The method for training each device in the state maintenance process to obtain the state stability coefficient of each device in each operating state includes the following steps: Step 1: Obtain the state occurrence rate α of each device directly switching from the kth operating state to the fth operating state in the previous detection data i kf; Step 2: Simultaneously extract the maintenance occurrence rate β of the equipment switching from the fth operating state to the kth operating state i fk; Step 3: Analyze the state stability coefficient of the equipment in each operating state.
6. A water plant industrial control equipment status monitoring system according to claim 5, characterized in that: The conversion model of the operating state of the equipment under the maintenance state is adopted to construct the state maintenance coefficient expression of the equipment under each operating state: k=1,2,...,h, when k takes the values 1,2,...,h, respectively, h expression groups are obtained, and combined with Finally, the state stability coefficient p of the i-th device in the f-th operating state is obtained i f is a specific value, and f=1,2,...,h.
7. A water plant industrial control equipment status monitoring system according to claim 6, characterized in that: The state conversion coefficient of the same device from different operating states to other operating states: μ i kf=p i k*a i kf, the state transition coefficient can predict the probability of each device switching from different operating states to other operating states.
8. A water plant industrial control equipment status monitoring system according to claim 7, characterized in that: The calculation formula of the performance evaluation coefficient is: It is represented by the performance evaluation coefficient corresponding to the operating state of the i-th device after operation adjustment. The performance evaluation coefficient is positively correlated with the device performance. e is a natural number. s represents the operating state where the working efficiency of the device is lower than the set working efficiency threshold. t i Represented as the current operating state of the i-th device x i The operation maintenance time under p i x i It is expressed as the state stability coefficient corresponding to the i-th device in the current operating state. It means that the i-th device switches from other operating states to the current operating state x i Start the calculation, the calculation is based on the running state x i Average switching time to the fth operating state.
9. A water plant industrial control equipment status monitoring system according to claim 1, characterized in that: The system also includes a storage adaptation capacity analysis module, a temporary storage warning analysis module, and an operation control and coordination module; The storage adaptation capacity analysis module is used to obtain the storage capacity of the water production link corresponding to each device and detect the temporary storage capacity of each current water production link, and analyze the maximum additional temporary storage capacity allowed by each current water production link; The temporary storage warning analysis module is used to extract the state stability coefficient corresponding to the equipment in each water production link under the current operating state, and predict the storage additional amount of each water production link accumulated over time; The operation control and coordination module is used to extract the additional storage capacity of each water-making link, analyze the overflow operation time required when the additional storage capacity of each water-making link is greater than the maximum additional temporary storage capacity allowed by the water-making link, or the stagnation operation time when the sum of the additional storage capacity of each water-making link and the temporary storage capacity of the water-making link obtained by the storage adaptation capacity analysis module is less than 0, and balance and coordinate the operation status of the equipment in each water-making link based on the operation time.
10. A water plant industrial control equipment status monitoring system according to claim 9, characterized in that: Balance and coordinate the operation status of equipment in each water production link. The method and steps are as follows: Step 1, extracting the overflow operation time when each water production link reaches overflow and the stagnation operation time when the water production link is stagnant, and screening out the minimum operation time among all overflow operation time and stagnation operation time; Step 2: Filter out the equipment operation status of water production link j under the minimum operation time, and determine the abnormal type under the minimum operation time, the abnormal type includes overflow or stagnation; Step 3: simultaneously filter out the equipment operation status of the previous water production link j-1 adjacent to the equipment of the water production link j with the minimum operation time; Step 4: According to the abnormality type, determine whether the state maintenance coefficient of the operating state of the equipment in the water production link j is greater than the state maintenance coefficient of the operating state of the equipment in the water production link j-1; Step 5: When the storage stagnation state is reached, if the state stability coefficient of the operating state of the equipment in the water production link j is large, the operating state of the equipment in the water production link j-1 is gradually increased, and steps 1-6 are repeated; otherwise, the operating state of the equipment in the water production link j is gradually decreased, and steps 1-6 are repeated; Step 6. When it is in the storage overflow state, if the state stability coefficient of the operating state of the equipment in the water production link j is large, the operating state of the equipment in the water production link j-1 is gradually reduced, and steps 1-6 are repeated; otherwise, the operating state of the equipment in the water production link j is gradually increased, and steps 1-6 are repeated.
Citation Information
Patent Citations
Water treatment unit working state monitoring management and control system
CN115437301A
Method for realizing service state monitoring of wind power equipment based on deep learning technology
CN116579632A