A method and system for dosing a medicament for hot water treatment
By introducing control modules and multi-point detection technology into the hot water treatment system, combined with data sets and cluster analysis, precise control of chemical addition and rapid response to abnormal conditions are achieved, solving the problems of inaccurate and wasteful chemical addition in the existing system and improving the system's anti-corrosion safety and deoxygenation efficiency.
Patent Information
- Application Number
- CN202510617852.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-14
- Publication Date
- 2025-10-17
- Estimated Expiration
- 2045-05-14
AI Technical Summary
The existing dissolved oxygen control system lacks a feedback adjustment mechanism, resulting in poor oxygen control effect, inaccurate reagent addition, and an inability to respond quickly to system abnormalities, resulting in corrosion problems not being discovered in time. In addition, the historical data of the system response after reagent addition cannot be effectively utilized, resulting in reagent waste or insufficient addition.
By combining a control module, a reagent storage tank, an electronically controlled reagent valve, and a dissolved oxygen electrode detector, and establishing a dissolved oxygen data set, dynamic perception and precise calculation before reagent addition are achieved. Combined with multi-point detection and cluster analysis, local abnormal changes are identified, forming a closed-loop control link to achieve intelligent reagent addition and replenishment.
It improves the accuracy and responsiveness of chemical dosing, reduces chemical waste, enhances anti-corrosion safety, realizes joint intelligent identification and response to changes in dissolved oxygen content in water and abnormal conditions of the system, and improves deoxygenation efficiency.
Smart Images

Figure CN120208344B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of heat supply water treatment, in particular to a medicament adding method and system for heat supply water treatment. BACKGROUND
[0002] In central heating systems and boiler systems, monitoring and controlling the dissolved oxygen content in water is an important link to ensure the stability of equipment operation and prolong the service life. Since dissolved oxygen in water is the main factor causing metal corrosion, deoxidizing agents are usually added to the system to reduce the dissolved oxygen content to prevent oxygen corrosion of pipelines, heat exchangers and heating equipment.
[0003] However, the existing dissolved oxygen control system has the following problems: the current system mostly only controls the addition of deoxidizing agents based on single-point detection data, and cannot combine system dynamic changes and spatial distribution differences, making it difficult to achieve precise regulation and control; when the system has abnormal conditions such as pipeline leakage, the existing device often cannot quickly diagnose and respond according to the change of dissolved oxygen data, resulting in the corrosion problem not being discovered in time; in addition, the historical data of the system response after the addition of medicaments are not effectively utilized, and a correlation model between the change of dissolved oxygen and the addition amount is not established, causing the problems of medicament waste or insufficient addition.
[0004] Therefore, it is necessary to design a medicament adding method and system for heat supply water treatment to solve the problems existing in the current technology. SUMMARY
[0005] In view of this, the present application provides a medicament adding method and system for heat supply water treatment, aiming to solve the problems of poor oxygen control effect and resource waste caused by the lack of feedback regulation mechanism in the current dissolved oxygen control system.
[0006] In one aspect, the present application provides a medicament adding system for heat supply water treatment, comprising:
[0007] a control module, a medicament storage tank, a medicament electric control valve and a plurality of dissolved oxygen electrode detectors, the medicament storage tank is arranged on one side of the water supply tank, the medicament electric control valve is arranged between the medicament storage tank and the water supply tank, and the control module is connected with the dissolved oxygen electrode detectors and the medicament electric control valve;
[0008] The control module comprises an acquisition unit, a judgment unit and a processing unit.
[0009] The collection unit is configured to collect data of the dissolved oxygen electrode detector in the water supply tank to establish a first dissolved oxygen data set, obtain an average dissolved oxygen content before reagent addition according to the first dissolved oxygen data set, compare the average dissolved oxygen content with a content threshold, determine whether to add reagent according to the comparison result, determine a reagent addition amount according to a content difference when it is determined to add reagent, and control the reagent electric control valve to add reagent.
[0010] The judgment unit is configured to collect data of the dissolved oxygen electrode detector in the water supply pipeline to establish a second dissolved oxygen data set, compare each dissolved oxygen content in the second dissolved oxygen data set with the content threshold, and determine whether there is leakage in the pipeline according to the comparison result; when it is determined that there is leakage, the judgment unit gives a warning, obtains a leakage feature, establishes the leakage feature and the reagent addition amount as a current feature, performs clustering analysis on the current feature and a historical feature data set, and determines a reagent supplement amount according to the clustering result.
[0011] The processing unit is configured to store the current feature and the reagent supplement amount, and control the reagent electric control valve to supplement and add reagent.
[0012] Further, when the collection unit determines whether to add reagent according to the comparison result, it includes:
[0013] When the average dissolved oxygen content is greater than the content threshold, the collection unit determines to add reagent.
[0014] When the average dissolved oxygen content is less than or equal to the content threshold, the collection unit determines not to add reagent.
[0015] Further, after the collection unit determines to add reagent, it further includes:
[0016] The collection unit records a current determination time and a determination result, and after a preset time period, the collection unit again obtains a second average dissolved oxygen content in the water supply tank, compares the second average dissolved oxygen content with the content threshold, and obtains a second determination result.
[0017] When the second determination result is consistent with the determination result, the collection unit determines a reagent addition amount according to a content difference, and controls the reagent electric control valve to add reagent.
[0018] When the second determination result is inconsistent with the determination result, the collection unit does not control the reagent electric control valve to add reagent, and generates a log reminder.
[0019] Further, when the collection unit determines a reagent addition amount according to a content difference, it includes:
[0020] The acquisition unit obtains a difference between the average dissolved oxygen content at the latest time and the content threshold value, takes the difference as the content difference value, compares the content difference value with a difference-amount-of-medicine mapping table, determines the amount of medicine according to the comparison result, and the difference-amount-of-medicine mapping table includes a plurality of content difference values and a plurality of amounts of medicine, each content difference value is matched with an amount of medicine, and the content difference value is in a positive correlation with the amount of medicine.
[0021] Further, when the judgment unit determines whether there is leakage according to the comparison result, it includes:
[0022] When there is data with dissolved oxygen content greater than the content threshold value in the second dissolved oxygen data set, the judgment unit determines that there is leakage;
[0023] When all the dissolved oxygen contents in the second dissolved oxygen data set are less than or equal to the content threshold value, the judgment unit determines that there is no leakage.
[0024] Further, when the judgment unit determines that there is leakage, and performs clustering analysis on the current feature and the historical feature data set, it includes:
[0025] The historical feature data set includes a plurality of historical features and a plurality of historical amounts of medicine, and each historical feature corresponds to a historical amount of medicine, the historical feature includes a historical leakage feature and a historical amount of medicine;
[0026] The judgment unit initializes K centroids in all the historical features, assigns the current feature to the nearest centroid, forms K clusters, recalculates the centroid of each cluster, and repeats the assignment and calculation until the centroid no longer changes;
[0027] When there is a historical feature in the cluster containing the current feature, the judgment unit takes the historical feature in the cluster as a similar set, determines the historical amount of medicine corresponding to each historical feature in the similar set, and determines the amount of medicine according to the similar set;
[0028] When there is no historical feature in the cluster containing the current feature, the judgment unit determines the amount of medicine according to the leakage feature.
[0029] Further, when the judgment unit determines the amount of medicine in the similar set, it includes:
[0030] When the historical feature in the similar set is unique, the judgment unit takes the historical amount of medicine corresponding to the historical feature as the amount of medicine;
[0031] When the historical characteristics are not unique in the similar set, the judging unit obtains a mean value of historical medicament supplementing amounts according to all the historical medicament supplementing amounts in the similar set, classifies data greater than or equal to the mean value of historical medicament supplementing amounts into an increasing set, classifies data less than the mean value of historical medicament supplementing amounts into a decreasing set, and obtains the medicament supplementing amount according to the increasing set, the decreasing set and the mean value of historical medicament supplementing amounts.
[0032] Further, when the judging unit obtains the medicament supplementing amount according to the increasing set, the decreasing set and the mean value of historical medicament supplementing amounts, the method comprises:
[0033] The judging unit obtains a first variance according to the increasing set and the mean value of historical medicament supplementing amounts, obtains a second variance according to the decreasing set and the mean value of historical medicament supplementing amounts, obtains a sum of the first variance and the second variance, and takes the sum of the mean value of historical medicament supplementing amounts and the sum of the first variance and the second variance as the medicament supplementing amount.
[0034] Further, when the judging unit determines the medicament supplementing amount according to the leakage characteristics, the method comprises:
[0035] The leakage characteristics comprise a leakage position and a leakage degree, the leakage position is a position of a point with dissolved oxygen content greater than the content threshold in the second dissolved oxygen data set, and the leakage degree is a difference between the dissolved oxygen content at the leakage position and the content threshold.
[0036] The judging unit calculates distances from the leakage positions to the water supply tank, determines a weight coefficient of the leakage degree at each leakage position according to the distances, obtains a total leakage degree according to the weight coefficient and the leakage degree, and determines the medicament supplementing amount according to the total leakage degree, wherein the medicament supplementing amount is in a positive correlation with the total leakage degree.
[0037] Compared with the prior art, the beneficial effects of the present application are that: the first dissolved oxygen data set in the water supply tank is established by the acquisition unit, the dynamic perception of the average value of the water body dissolved oxygen before the reagent addition is realized, and the reagent addition amount is accurately calculated according to the content difference, which improves the accuracy and responsiveness of the addition; at the same time, the second dissolved oxygen data set of multiple detection points in the water supply pipeline is collected by the judgment unit, the identification of local abnormal changes is realized, when the possible pipeline leakage is detected, the early warning can be issued, and the correlation information between the leakage characteristics and the addition amount can be extracted to construct the current characteristics, and the clustering analysis is carried out combined with the historical characteristic data, so as to determine the targeted reagent supplement strategy; the processing unit has data storage and control linkage function, realizes the continuous optimization of the addition mode, and forms the closed-loop control link of "detection-decision-execution-feedback-correction". Breakthrough the limitations of traditional single-point detection, static threshold judgment and fixed addition strategy, realize the joint intelligent identification and response of the change of dissolved oxygen content in water and the abnormal state of the system, improve the deoxidization efficiency, reduce the reagent waste, and enhance the corrosion safety.
[0038] On the other hand, the present application also provides a reagent addition method for hot water treatment, which is applied to the above-mentioned reagent addition system for hot water treatment, comprising:
[0039] The first dissolved oxygen data set is established for collecting the data of the dissolved oxygen electrode detector in the water supply tank, and the average dissolved oxygen content before the reagent addition is obtained according to the first dissolved oxygen data set, the average dissolved oxygen content is compared with the content threshold value, and whether the reagent addition is performed is judged according to the comparison result, when it is determined that the reagent addition is performed, the reagent addition amount is determined according to the content difference;
[0040] The second dissolved oxygen data set is established by collecting the data of the dissolved oxygen electrode detector in the water supply pipeline, each dissolved oxygen content in the second dissolved oxygen data set is compared with the content threshold value, and whether the pipeline has leakage is judged according to the comparison result; when it is determined that there is leakage, the early warning is performed, and the leakage characteristics are obtained, the leakage characteristics and the reagent addition amount are established as the current characteristics, the current characteristics and the historical characteristic data set are subjected to clustering analysis, and the reagent supplement amount is determined according to the clustering result;
[0041] The current characteristics and the reagent supplement amount are stored and supplemented and added.
[0042] It can be understood that the above-mentioned reagent addition method and system for hot water treatment have the same beneficial effects, which will not be described here. BRIEF DESCRIPTION OF DRAWINGS
[0043] Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments with reference made to the accompanying drawings. The drawings are for purposes of illustration only and are not intended to limit the present application thereto, as the present application can have application in versions other than those illustrated. There is shown in the drawings, are the preferred embodiments from which variations can be made and changes can be suggested without departing from the scope of the present application. In addition, like reference numerals are used to designate corresponding parts throughout the several views.
[0044] Figure 1 A structural block diagram of a medicament dosing system for hot water treatment provided by an embodiment of the present application is shown in the figure.
[0045] Figure 2 A flow chart of a medicament dosing method for hot water treatment provided by an embodiment of the present application is shown in the figure. DETAILED DESCRIPTION
[0046] Exemplary embodiments of the present disclosure will be described in detail with reference to the drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it is understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the present disclosure to those skilled in the art. It should be noted that the embodiments in the present application and the features in the embodiments can be combined with each other without conflict. The present application will be described in detail below with reference to the drawings and in conjunction with the embodiments.
[0047] In some embodiments of the present application, referring to Figure 1 A medicament dosing system for hot water treatment includes:
[0048] A control module, a medicament storage tank, a medicament electrically controlled valve, and a plurality of dissolved oxygen electrode detectors. The medicament storage tank is arranged on one side of the water supply tank. The medicament electrically controlled valve is arranged between the medicament storage tank and the water supply tank. The control module is connected with the dissolved oxygen electrode detectors and the medicament electrically controlled valve.
[0049] The control module includes a collection unit, a judgment unit, and a processing unit.
[0050] The collection unit is configured to collect data of the dissolved oxygen electrode detectors in the water supply tank to establish a first dissolved oxygen data set, and to obtain an average dissolved oxygen content before medicament dosing according to the first dissolved oxygen data set. The average dissolved oxygen content is compared with a content threshold value. According to the comparison result, it is judged whether to dose medicament. When it is determined to dose medicament, the medicament dosing amount is determined according to the content difference, and the medicament electrically controlled valve is controlled to dose.
[0051] The judgment unit is configured to collect data of the dissolved oxygen electrode detector in the water supply pipeline to establish a second dissolved oxygen data set, compare each dissolved oxygen content in the second dissolved oxygen data set with a content threshold, and judge whether there is a leakage in the pipeline according to the comparison result. When it is determined that there is a leakage, the judgment unit gives a warning, obtains a leakage feature, binds the leakage feature with a medicament dosage to establish a current feature, and performs clustering analysis on the current feature and a historical feature data set to determine a medicament supplement amount according to a clustering result.
[0052] The processing unit is configured to store the current feature and the medicament supplement amount, and control the medicament electric control valve to supplement and add the medicament.
[0053] Specifically, the control module is a core control unit, including a collection unit, a judgment unit and a processing unit, which respectively undertake functions such as data collection, logical judgment and decision execution. The medicament storage tank is used to store the required deoxidizing agent medicament, and is provided with a liquid level monitoring device. The medicament electric control valve is arranged between the medicament storage tank and the water supply tank, and is controlled to be opened / closed by the control module to realize quantitative addition of the medicament. A plurality of dissolved oxygen electrode detectors are distributed in the water supply tank and a plurality of positions in the water supply pipeline to monitor the dissolved oxygen content in the water in real time and provide data support. The collection unit collects data of the dissolved oxygen electrode detector in the water supply tank to form a first dissolved oxygen data set. The average dissolved oxygen content before addition is calculated, and compared with a set content threshold to determine whether medicament addition is needed. If it is determined that medicament addition is needed, the required medicament amount is calculated according to the excessive amount of dissolved oxygen (content difference), and then the medicament electric control valve is controlled to accurately execute the addition. The judgment unit is responsible for collecting data of the dissolved oxygen detector at other positions in the water supply pipeline to form a second dissolved oxygen data set, which is used for horizontal comparison of whether the dissolved oxygen values at each detection point are abnormal. If the dissolved oxygen content in some areas abnormally increases, there may be a small leakage or oxygen infiltration, and the judgment unit sends a warning signal. When it is determined that there is a leakage, the leakage feature (such as position and amplitude) of this abnormal situation is bound with the corresponding medicament dosage to form a current feature vector, and clustering analysis is performed on the historical record feature data to determine whether additional medicament is needed, and the supplement amount is calculated accordingly. The processing unit archives the "current feature" and "supplement amount" of each event as a basis for subsequent clustering learning, and controls the medicament electric control valve to complete the final supplement and addition action, realizing closed-loop control.
[0054] It can be understood that through the construction of a data collection and fusion dissolved oxygen dynamic monitoring, judgment and clustering learning mechanism based on a distributed sensor network, the whole process fine management of the reagent dosing in the heating water treatment system is realized. Compared with the traditional control mode relying on manual or single point judgment, high precision and on-demand reagent dosing is realized, waste and corrosion hazards are avoided, real-time perception and compensation control of potential leakage of the system are realized through abnormal data analysis, and the water quality stability and equipment operation safety of the heating system are improved.
[0055] In some embodiments of the present application, the acquisition unit determines whether to perform reagent dosing according to the comparison result, including: when the average dissolved oxygen content is greater than the content threshold, the acquisition unit determines to perform reagent dosing. When the average dissolved oxygen content is less than or equal to the content threshold, the acquisition unit determines not to perform reagent dosing.
[0056] In some embodiments of the present application, after the acquisition unit determines to perform reagent dosing, it further includes: the acquisition unit records the current determination time and the determination result, and after a preset period of time, the acquisition unit again acquires the second average dissolved oxygen content in the water tank, compares the second average dissolved oxygen content with the content threshold, and obtains a second determination result.
[0057] Specifically, when the second determination result is consistent with the determination result, the acquisition unit determines the reagent dosing amount according to the content difference value, and controls the reagent electric control valve to perform dosing. When the second determination result is inconsistent with the determination result, the acquisition unit does not control the reagent electric control valve to perform dosing, and generates a log reminder.
[0058] In some embodiments of the present application, when the acquisition unit determines the reagent dosing amount according to the content difference value, it includes: the acquisition unit acquires the difference value between the average dissolved oxygen content at the latest time and the content threshold, takes the difference value as the content difference value, and compares the content difference value with the difference-value-dosing amount mapping table, determines the reagent dosing amount according to the comparison result, the difference-value-dosing amount mapping table includes a plurality of content difference values and a plurality of reagent dosing amounts, each content difference value is matched with a reagent dosing amount, and the content difference value and the reagent dosing amount are in a proportional relationship.
[0059] Specifically, the acquisition unit acquires the dissolved oxygen detector data in the water supply tank at any time T1 to calculate the average dissolved oxygen content. The average value is compared with the set content threshold value: if higher than the threshold value, the system determines that "additional chemicals are needed"; if lower than or equal to the threshold value, it is determined that "additional chemicals are not needed". After the initial determination, the acquisition unit records the time T1 and its corresponding determination result; after a preset period of time (such as 5 minutes), the dissolved oxygen value in the water supply tank is collected again to form a second average value at time T2; the comparison with the threshold value is performed again to obtain the "second determination result": if the second determination is consistent with the initial determination, the chemical addition is performed; if the second determination is inconsistent with the initial determination, no chemicals are added, but a reminder log is generated. This effectively prevents the mis-addition caused by instantaneous fluctuations in data, sensor errors or abnormal disturbances, and enhances the robustness of the system. The addition amount is dynamically determined according to the difference between the "average dissolved oxygen value at the latest time (such as T2) and the threshold value"; the difference is used as a key control factor and matched with a "difference-addition amount mapping table" constructed in advance: each difference corresponds to a recommended addition amount; the larger the difference, the higher the corresponding addition amount, and the two are in a proportional relationship; the mapping table can be a linear table, a segmented function or a lookup table model, supporting subsequent machine learning optimization.
[0060] It can be understood that through the double-determination confirmation mechanism and the difference mapping type chemical amount control strategy, the accuracy and flexibility of the chemical addition decision are improved, unnecessary addition caused by accidental errors is avoided, and the system operation cost and the amount of chemicals used are reduced. At the same time, the introduction of the log reminder function provides a basis for tracking and intervention for system operation and maintenance. The introduction of the difference-addition amount mapping table makes the system have stronger expandability and self-adaptability.
[0061] In some embodiments of the present application, when the judgment unit determines whether there is a leakage in the pipeline according to the comparison result, it includes: when there is data in the second dissolved oxygen data set whose dissolved oxygen content is greater than the content threshold value, the judgment unit determines that there is a leakage. When all the dissolved oxygen contents in the second dissolved oxygen data set are less than or equal to the content threshold value, the judgment unit determines that there is no leakage.
[0062] In some embodiments of the present application, when the judgment unit determines that there is a leakage, the current feature is clustered and analyzed with the historical feature data set, which includes a plurality of historical features and a plurality of historical chemical supplement amounts, and each historical feature corresponds to a historical chemical supplement amount. The historical features include historical leakage features and historical chemical supplement amounts.
[0063] Specifically, the judgment unit initializes K centroids in all historical features, assigns the current feature to the nearest centroid, forms K clusters. Recalculate the centroid of each cluster. Repeat the assignment and calculation until the centroid no longer changes. When there are historical features in the cluster containing the current feature, the judgment unit takes the historical features in the cluster as a similar set, and determines the corresponding historical medicament supplement amount of each historical feature in the similar set, and determines the medicament supplement amount according to the similar set. When there is no historical feature in the cluster containing the current feature, the judgment unit determines the medicament supplement amount according to the leakage feature.
[0064] Specifically, if the dissolved oxygen value of any one point is higher than the threshold value, it is determined that "there is leakage"; if all points are lower than or equal to the threshold value, it is determined that "there is no leakage". The detected "leakage feature" (such as the number of leakage points, location, and oxygen content exceeding the value) and the current "medicament injection amount" form a "current feature"; the historical feature data set contains multiple historical samples, each sample includes a combination of "historical leakage feature" and "historical medicament supplement amount"; K centroids (i.e. K representative sample points) are initialized from the historical features; the current feature is assigned to the cluster to which the nearest centroid belongs; the new centroid of each cluster is recalculated according to the assignment result; repeat the centroid calculation and assignment steps until the cluster centroid is stable; if there are historical features in the cluster to which the current feature belongs, they are taken as a similar set; according to the average or weighted value of the historical medicament supplement amount in the similar set, determine the current supplement amount; if there is no historical feature in the cluster, it means a new type of abnormal scene, and the supplement amount is calculated directly according to the current leakage feature (for example, according to the dissolved oxygen exceeding the value).
[0065] It can be understood that by introducing a multi-point data judgment mechanism and a K-means clustering analysis model, the system's ability to identify and respond to pipeline leakage events is enhanced. Especially in complex working conditions or nonlinear change conditions, not only can the leakage be quickly identified, but also based on historical data, analogy reasoning can be performed to accurately determine the amount of medicament to be added, avoiding over-addition or insufficient response. At the same time, when faced with a new type of leakage pattern that has never appeared before, it still has basic response capabilities, and the current feature can be included in the historical database to realize knowledge accumulation and strategy evolution.
[0066] In some embodiments of the present application, when the judgment unit determines the medicament supplement amount based on the similar set, it includes: when the historical features in the similar set are unique, the judgment unit takes the historical medicament supplement amount corresponding to the historical features as the medicament supplement amount. When the historical features in the similar set are not unique, the judgment unit obtains the average value of the historical medicament supplement amount according to all historical medicament supplement amounts in the similar set, divides the data whose historical medicament supplement amount is greater than or equal to the average value of the historical medicament supplement amount into an increase set, and divides the data whose historical medicament supplement amount is less than the average value of the historical medicament supplement amount into a decrease set, and obtains the medicament supplement amount according to the increase set, the decrease set and the average value of the historical medicament supplement amount.
[0067] In some embodiments of the present application, the judgment unit obtains the medicament supplementing amount according to the increasing set, the decreasing set and the historical medicament supplementing amount mean value, including: the judgment unit obtains a first variance according to the increasing set and the historical medicament supplementing amount mean value, obtains a second variance according to the decreasing set and the historical medicament supplementing amount mean value, obtains a variance opening sum of the first variance and the second variance, and takes the sum value of the variance opening sum and the historical medicament supplementing amount mean value as the medicament supplementing amount.
[0068] It can be understood that by introducing the mean value classification + double variance analysis + openness weighting mechanism, the problem of decision uncertainty caused by strong dispersion of historical data samples is effectively overcome. Not only can the preliminary judgment be made according to the historical data trend, but also the volatility of different strategies can be further measured, and finally the medicament supplementing scheme considering the robustness and responsiveness is given. Compared with the traditional simple average method or the maximum / minimum strategy, the present embodiment has data adaptability and strategy flexibility.
[0069] In some embodiments of the present application, when the judgment unit determines the medicament supplementing amount according to the leakage characteristics, including: the leakage characteristics include the leakage position and the leakage degree, the leakage position is the position of the point in the second dissolved oxygen data set whose dissolved oxygen content is greater than the content threshold, and the leakage degree is the difference between the dissolved oxygen content at the leakage position and the content threshold.
[0070] Specifically, the judgment unit calculates the distance from each leakage position to the water supply tank, determines the weight coefficient of the leakage degree at each leakage position according to the distance, obtains the total leakage degree according to the weight coefficient and the leakage degree, and determines the medicament supplementing amount according to the total leakage degree, the medicament supplementing amount and the total leakage degree are in a proportional relationship.
[0071] Specifically, the Euclidean distance is used to calculate the distance from each leakage position to the water supply tank. (a0, b0, z0) represents the position coordinates of the water supply tank, and (ai, bi, zi) represents the position coordinates of the i-th leakage position.
[0072]
[0073] Wherein, Li represents the distance from the i-th leakage position to the water supply tank. The weight coefficient of the leakage degree at each leakage position is determined according to the distance:
[0074]
[0075] Wherein, Qi represents the weight coefficient of the leakage degree at the i-th leakage position, and w is the standard deviation of the leakage degree. The total leakage degree Z is calculated, n represents the total number of leakage positions, and Si represents the leakage degree of the i-th leakage position.
[0076]
[0077] Specifically, the medicament supplementing amount is determined according to the total leakage degree, and the medicament supplementing amount is in a positive correlation with the total leakage degree. The total leakage degree is compared with the first leakage degree and the second leakage degree, and the medicament supplementing amount is determined according to the comparison result. The first leakage degree is smaller than the second leakage degree. When the total leakage degree is smaller than the first leakage degree, the first preset medicament supplementing amount is determined as the medicament supplementing amount. When the total leakage degree is greater than the first leakage degree and smaller than the second leakage degree, the second preset medicament supplementing amount is determined as the medicament supplementing amount. When the total leakage degree is greater than the second leakage degree, the third preset medicament supplementing amount is determined as the medicament supplementing amount. The first preset medicament supplementing amount is smaller than the second preset medicament supplementing amount, and the second preset medicament supplementing amount is smaller than the third preset medicament supplementing amount.
[0078] It can be understood that the influence of leakage on the water quality of the system is associated with the spatial distribution characteristics thereof by spatial positioning and interval mapping, and the estimation of the medicament supplementing strategy is realized without relying on historical experience. Not only is the leakage position identified, but also the weight is determined according to the relationship of the leakage position in the spatial distribution, so that the supplementing decision is more targeted. Compared with the traditional experience-dependent judgment or simple numerical accumulation, the response capability of the system to new leakage events is improved.
[0079] In the above embodiment, the first dissolved oxygen data set in the water supply tank is established by the acquisition unit, the dynamic perception of the average value of the water dissolved oxygen before medicament addition is realized, and the medicament addition amount is accurately calculated according to the content difference, thereby improving the accuracy and responsiveness of the addition. At the same time, the second dissolved oxygen data set of multiple detection points in the water supply pipeline is collected by the judgment unit, the identification of local abnormal changes is realized, when the possible pipeline leakage is detected, the early warning can be issued, and the association information between the leakage characteristics and the addition amount can be extracted to construct the current characteristics, and the clustering analysis is carried out combined with the historical characteristic data, so that the targeted medicament supplementing strategy is determined. The processing unit has data storage and control linkage functions, realizes continuous optimization of the addition mode, and forms a closed-loop control link of “detection—decision—execution—feedback—correction”. The limitations of traditional single-point detection, static threshold judgment and fixed addition strategy are broken through, the joint intelligent identification and response of the change of dissolved oxygen content in water and the abnormal state of the system are realized, the deoxidization efficiency is improved, the medicament waste is reduced, and the corrosion safety is enhanced.
[0080] In another preferred mode based on the above embodiment, referring to Figure 2 The present embodiment provides a medicament addition method for hot water treatment, which is applied to the medicament addition system for hot water treatment described above, and includes:
[0081] S100: a first dissolved oxygen data set is established by collecting data of the dissolved oxygen electrode detector in the water supply tank, an average dissolved oxygen content before the reagent is added is obtained according to the first dissolved oxygen data set, the average dissolved oxygen content is compared with a content threshold, and whether the reagent is added is determined according to the comparison result. When it is determined that the reagent is added, the reagent addition amount is determined according to the content difference.
[0082] S200: a second dissolved oxygen data set is established by collecting data of the dissolved oxygen electrode detector in the water supply pipeline, each dissolved oxygen content in the second dissolved oxygen data set is compared with the content threshold, and whether the pipeline has a leakage is determined according to the comparison result. When it is determined that there is a leakage, a warning is given, a leakage feature is obtained, the leakage feature and the reagent addition amount are established as a current feature, the current feature is clustered and analyzed with a historical feature data set, and a reagent supplement amount is determined according to the clustering result.
[0083] S300: the current feature and the reagent supplement amount are stored, and the supplement is added.
[0084] It can be understood that the first dissolved oxygen data set in the water supply tank is established by the collection unit, the average value of the dissolved oxygen in the water before the reagent is added is dynamically perceived, the reagent addition amount is accurately calculated according to the content difference, the accuracy and responsiveness of the addition are improved, and meanwhile, the second dissolved oxygen data set of multiple detection points in the water supply pipeline is collected by the determination unit, the local abnormal change is identified, when the possible pipeline leakage is detected, the warning can be given, the correlation information between the leakage feature and the addition amount can be extracted to construct the current feature, the clustering analysis is combined with the historical feature data, and thus the targeted reagent supplement strategy is determined. The processing unit has the data storage and control linkage function, the continuous optimization of the addition mode is realized, the closed-loop control link of “detection—decision—execution—feedback—correction” is formed, the limitations of the traditional single-point detection, the static threshold determination and the fixed addition strategy are broken through, the joint intelligent identification and response of the change of the dissolved oxygen content in the water and the abnormal state of the system are realized, the deoxidization efficiency is improved, the reagent waste is reduced, and the corrosion safety is enhanced.
[0085] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system or a computer program product. Therefore, the present application can adopt a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer usable storage media containing computer usable program code (including but not limited to disk storage, CD-ROM, optical storage, etc.).
[0086] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart or flowsheet block or blocks. Figure 1 one or more flowcharts and / or blocks Figure 1 one or more flowcharts and / or blocks
[0087] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart or flowsheet block or blocks. Figure 1 one or more flowcharts and / or blocks Figure 1 one or more flowcharts and / or blocks
[0088] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart or flowsheet block or blocks. Figure 1 one or more flowcharts and / or blocks Figure 1 one or more flowcharts and / or blocks
[0089] Finally, it should be noted that the above-mentioned embodiments are merely intended to illustrate the technical solutions of the present application, rather than limit the technical solutions of the present application. Although the present application has been described in detail with reference to the above-mentioned embodiments, those skilled in the art should understand that the specific embodiments of the present application can be modified or replaced, and any modification or replacement without departing from the spirit and scope of the present application should be covered within the protection scope of the claims of the present application.
Claims
1. A reagent dosing system for hot water treatment, characterized in that: include: A control module, a medicine storage tank, a medicine electric control valve, and several dissolved oxygen electrode detectors, wherein the medicine storage tank is arranged on one side of the water supply tank, the medicine electric control valve is arranged between the medicine storage tank and the water supply tank, and the control module is connected to the dissolved oxygen electrode detector and the medicine electric control valve; The control module includes a collection unit, a judgment unit and a processing unit; The acquisition unit is configured to acquire data from a dissolved oxygen electrode detector in the water supply tank to establish a first dissolved oxygen data set, and obtain an average dissolved oxygen content before the addition of a reagent based on the first dissolved oxygen data set, compare the average dissolved oxygen content with a content threshold, determine whether to administer the reagent based on the comparison result, and when it is determined that the reagent is to be administered, determine the amount of the reagent to be administered based on the content difference, and control the electronically controlled valve of the reagent to administer the reagent; The judgment unit is configured to collect data from a dissolved oxygen electrode detector in the water supply pipeline to establish a second dissolved oxygen data set, compare each dissolved oxygen content in the second dissolved oxygen data set with the content threshold, and judge whether there is a leak in the pipeline based on the comparison result; when it is determined that there is a leak, the judgment unit issues an early warning, obtains a leakage feature, establishes the leakage feature and the amount of the agent to be added as a current feature, performs cluster analysis on the current feature and the historical feature data set, and determines the amount of the agent to be added based on the clustering result; The processing unit is configured to store the current characteristics and the medicine replenishment amount, and control the medicine electric-controlled valve to perform replenishment and delivery.
2. The agent dosing system for hot water treatment according to claim 1, characterized in that: When the collection unit determines whether to administer the medicine based on the comparison result, it includes: When the average dissolved oxygen content is greater than the content threshold, the collection unit determines to administer the drug; When the average dissolved oxygen content is less than or equal to the content threshold, the collection unit determines not to administer the drug.
3. The agent dosing system for hot water treatment according to claim 2, characterized in that: After the collecting unit determines to administer the medicine, the method further includes: The acquisition unit records the current determination time and the determination result. After a preset period of time, the acquisition unit again acquires a second average dissolved oxygen content in the water supply tank, compares the second average dissolved oxygen content with the content threshold, and acquires a second determination result. When the second determination result is consistent with the determination result, the collection unit determines the dosage of the medicine according to the content difference and controls the electronically controlled valve of the medicine to perform the dosage; When the second determination result is inconsistent with the determination result, the collection unit does not control the electronically controlled valve to release the medicine, and generates a log reminder.
4. The reagent dosing system for hot water treatment according to claim 3, characterized in that: When the collection unit determines the dosage of the medicine according to the content difference, it includes: The acquisition unit obtains the difference between the average dissolved oxygen content at the most recent moment and the content threshold, uses the difference as the content difference, and compares the content difference with a difference-dosage mapping table, and determines the dosage of the agent based on the comparison result. The difference-dosage mapping table includes several content differences and several agent dosages, each content difference matches a agent dosage, and the content difference is directly proportional to the agent dosage.
5. The chemical dosing system for hot water treatment according to claim 1, characterized in that: When the judging unit judges whether there is a leak in the pipeline according to the comparison result, it includes: When the second dissolved oxygen data set contains data with a dissolved oxygen content greater than the content threshold, the judgment unit determines that there is a leak; When all dissolved oxygen contents in the second dissolved oxygen data set are less than or equal to the content threshold, the judgment unit determines that there is no leakage.
6. The chemical dosing system for hot water treatment according to claim 5, characterized in that: When the judgment unit determines that a leak exists, cluster analysis is performed on the current feature and the historical feature data set, including: The historical feature data set includes a plurality of historical features and a plurality of historical drug addition amounts, and each historical feature corresponds to a historical drug addition amount, and the historical features include historical leakage features and historical drug addition amounts; The judgment unit initializes K centroids from all the historical features, assigns the current feature to the nearest centroid, and forms K clusters; recalculates the centroid of each cluster; and repeats the assignment and calculation until the centroid no longer changes. When a historical feature exists in the cluster containing the current feature, the judgment unit takes the historical features in the cluster as a similarity set, determines the historical medication replenishment amount corresponding to each historical feature in the similarity set, and determines the medication replenishment amount based on the similarity set; When no historical feature exists in the cluster containing the current feature, the judgment unit determines the drug replenishment amount according to the leakage feature.
7. The reagent dosing system for hot water treatment according to claim 6, characterized in that: When the similarity set is used by the judgment unit to determine the amount of the medicine to be added, the method includes: When the historical feature is unique in the similarity set, the judgment unit uses the historical medicine replenishment amount corresponding to the historical feature as the medicine replenishment amount; When the historical features in the similar set are not unique, the judgment unit obtains the average of the historical medicine supplement amounts based on all the historical medicine supplement amounts in the similar set, and classifies the data whose historical medicine supplement amounts are greater than or equal to the average of the historical medicine supplement amounts into an increasing set, and classifies the data whose historical medicine supplement amounts are less than the average of the historical medicine supplement amounts into a decreasing set, and obtains the medicine supplement amount based on the increasing set, the decreasing set and the average of the historical medicine supplement amounts.
8. The reagent dosing system for hot water treatment according to claim 7, characterized in that: When the judgment unit obtains the medicine supplement amount according to the increase set, the decrease set, and the average of the historical medicine supplement amounts, the judgment unit includes: The judgment unit obtains a first variance based on the increase set and the mean of the historical drug supplement amounts, obtains a second variance based on the decrease set and the mean of the historical drug supplement amounts, obtains an open sum of the variances of the first variance and the second variance, and uses the sum of the open sum of the variances and the mean of the historical drug supplement amounts as the drug supplement amount.
9. The chemical dosing system for hot water treatment according to claim 6, characterized in that: When the judgment unit determines the amount of the medicine to be added according to the leakage characteristics, it includes: The leakage characteristics include a leakage location and a leakage degree, wherein the leakage location is a location of a point in the second dissolved oxygen data set where the dissolved oxygen content is greater than the content threshold, and the leakage degree is a difference between the dissolved oxygen content at the leakage location and the content threshold; The judgment unit calculates the distance from each leakage location to the water supply tank, determines the weight coefficient of the leakage degree at each leakage location based on the distance, obtains the total leakage degree based on the weight coefficient and the leakage degree, determines the amount of agent to be added based on the total leakage degree, and the amount of agent to be added is proportional to the total leakage degree.
10. A method for adding a reagent for hot water treatment, applied to the reagent adding system for hot water treatment according to any one of claims 1 to 9, characterized in that: include: Establishing a first dissolved oxygen data set for collecting data from a dissolved oxygen electrode detector in a water supply tank, obtaining an average dissolved oxygen content before adding a reagent based on the first dissolved oxygen data set, comparing the average dissolved oxygen content with a content threshold, determining whether to administer the reagent based on the comparison result, and if it is determined that the reagent is to be administered, determining the dosage of the reagent based on the content difference; collecting data from a dissolved oxygen electrode detector in a water supply pipeline to establish a second dissolved oxygen data set, comparing each dissolved oxygen content in the second dissolved oxygen data set with the content threshold, and determining whether there is a leak in the pipeline based on the comparison result; when a leak is determined to exist, issuing an early warning, obtaining a leakage feature, establishing the leakage feature and the agent dosage as a current feature, performing a cluster analysis on the current feature and a historical feature data set, and determining the agent addition amount based on the clustering result; The current characteristics and the amount of the medicine to be added are stored, and the medicine is added and delivered.
Citation Information
Patent Citations
High -temperature water deoxidization charge device
CN207210015U
Systems and Methods for Measuring Composition of Water
US20210181167A1