Pre-oxidation treatment system for water purification plant
By integrating data collection, pre-oxidation treatment, oxidant storage and storage supervision units in the pre-oxidation treatment system of the water purification plant, automatically analyzing and monitoring the use and storage conditions of oxidant, the problem of low oxidant supervision efficiency in existing systems is solved, and the improvement of the improvement of oxidant supervision is improved. Processing effect and security.
Patent Information
- Application Number
- CN202411223151.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-03
- Publication Date
- 2025-01-14
AI Technical Summary
The existing pre-oxidation treatment system for water purification plants lacks automatic supervision when using oxidants, resulting in low manual patrol efficiency and ineffective monitoring of the corrosiveness and flammability of oxidants, affecting the treatment effect and safety.
A system including data acquisition, pre-oxidation treatment, oxidant storage and storage supervision units was designed. By collecting and analyzing oxidation treatment parameters and storing data parameters, evaluating information and supervision signals are generated, and the use and storage conditions of oxidant are automatically monitored to reduce the use and storage conditions of oxidant. Reliance on manual inspection.
The evaluation of oxidation treatment results and the efficiency of oxidant storage management are improved, the human factors of manual inspection are reduced, and the safety management and treatment effect of oxidant is enhanced.
Smart Images
Figure CN119314592A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of sewage treatment, in particular to a pre-oxidation treatment system for a water purification plant. Background Art
[0002] With the acceleration of industrialization and urbanization, water resources are increasingly polluted. Various pollutants such as organic matter, microorganisms, heavy metals, etc. exist in raw water, which brings huge challenges to water treatment. Traditional water purification processes are difficult to effectively remove these complex pollutants, resulting in water quality that cannot meet the increasingly stringent drinking water standards. Pre-oxidation treatment systems have come into being; it adds an oxidation treatment link at the front end of the water purification process and uses the strong oxidizing properties of the oxidant to decompose or transform pollutants in advance, creating favorable conditions for subsequent purification processes and ensuring the safety and quality of water supply.
[0003] The existing pre-oxidation treatment system for water treatment plants is used to control the pre-oxidation treatment of the water treatment plants to facilitate the subsequent processes. However, oxidants are usually corrosive or flammable and explosive, and there is no supervision on oxidants. The storage of oxidants needs to be inspected manually, and the efficiency is low due to human factors during the inspection. Summary of the invention
[0004] The present invention provides a pre-oxidation treatment system for a water purification plant, which is used to solve the above-mentioned technical problems.
[0005] A first aspect of the present invention provides a pre-oxidation treatment system for a water purification plant, comprising a data acquisition unit, a pre-oxidation treatment unit, an oxidant storage unit, a storage monitoring unit and a data storage unit.
[0006] The data acquisition unit includes a processing data acquisition module and a storage data acquisition module.
[0007] The processing data acquisition module is used to collect oxidation treatment parameters of oxidation treatment and send the oxidation treatment parameters to the data storage unit; the oxidation treatment parameters include raw water quality parameters, oxidant addition parameters and processing parameters.
[0008] The storage data acquisition module is used to collect storage data parameters of the oxidant and send the storage data parameters to the data storage unit; the storage data parameters include oxidant property parameters, storage container parameters, storage environment parameters and storage monitoring data.
[0009] A pre-oxidation processing unit is used to obtain oxidation processing parameters and analyze the oxidation processing parameters to obtain pre-oxidation processing evaluation information, and send the pre-oxidation processing evaluation information to the data storage unit
[0010] As a further improvement of the present invention, the oxidation treatment parameters are analyzed, and the specific analysis method is as follows:
[0011] The raw water quality parameters in the oxidation treatment parameters are obtained. The raw water quality parameters include organic matter content, microbial parameters and heavy metal concentration. The treatment parameters and oxidant addition parameters corresponding to the raw water are obtained according to the raw water quality parameters. The treated water quality parameters after pre-oxidation treatment are obtained by executing the treatment parameters and oxidant addition parameters.
[0012] The treated water quality parameters after the pre-oxidation treatment are analyzed, the corresponding organic matter content after the pre-oxidation treatment is marked as the treated organic matter content, the corresponding pre-set organic matter standard content is obtained, the treated organic matter content is compared with the organic matter standard content, and when the treated organic matter content is greater than the organic matter standard content, the treated organic matter content is subtracted from the organic matter standard content to obtain the organic matter impact content.
[0013] The microbial parameters corresponding to the treated water quality parameters after the pre-oxidation treatment are identified to obtain the microbial species and microbial quantity, the microbial species are divided into non-influenced microorganisms and influential microorganisms, the non-influenced microorganism category quantity and the influential microorganism category quantity are respectively counted, the influential microorganism category quantity and the total number of microorganism species are calculated to obtain a ratio and the ratio is marked as the influential microorganism ratio; the number of microorganisms corresponding to each influential microorganism is obtained, and a preset microbial content threshold corresponding to the influential microorganism is obtained, the microbial content corresponding to each influential microorganism is compared with the microbial content threshold, when the microbial content exceeds the microbial content threshold, the part exceeding the threshold is marked as abnormal excess, the abnormal excess is divided into multiple excess intervals, each excess interval corresponds to an excess impact value, the abnormal excess corresponding to each influential microorganism is matched with the multiple excess intervals to obtain the excess impact value corresponding to each influential microorganism, the excess impact value of each influential microorganism is calculated and summed to obtain the excess total impact value, and the total excess impact value is multiplied by the influential microorganism ratio to obtain the microbial impact index.
[0014] The treated heavy metal content is obtained from the heavy metal content after pre-oxidation treatment, and the heavy metal content threshold corresponding to the pre-set treated heavy metal content is obtained. The treated heavy metal content is compared with the heavy metal content threshold. When the treated heavy metal content is greater than the heavy metal content threshold, the portion exceeding the heavy metal content threshold is marked as a heavy metal impact index.
[0015] The organic matter impact content, microbial impact index and heavy metal impact index are normalized and their values are taken, and the water quality impact index SZ is obtained according to the formula SZ=YJ×k1+WS×k2+JS×k3; wherein YJ, WS and JS represent the organic matter impact content, microbial impact index and heavy metal impact index respectively, k1, k2 and k3 are preset weight factors, and the values are 2.81, 2.14 and 1.05 respectively; when the water quality impact index is greater than the set threshold, a pre-oxidation treatment abnormal instruction is generated.
[0016] The oxidant storage unit is used to obtain storage data parameters and analyze the storage data parameters to obtain oxidant storage information, and send the oxidant storage information to the storage supervision unit.
[0017] As a further improvement of the present invention, the storage data parameters are analyzed, and the specific analysis method is as follows:
[0018] Obtain the oxidant property parameters of various oxidants in the storage data, and identify the oxidant property parameters to obtain the corrosiveness and flammability and explosiveness of each oxidant; identify the storage container parameters to obtain the container material, sealing and specification parameters; obtain the corrosiveness of each oxidant and obtain the corrosive material corresponding to each oxidant according to the corrosiveness, match the corrosive material of each oxidant with the container material corresponding to the storage container parameters, obtain the storage container that does not react with each oxidant and mark the corresponding storage solvent as the primary storage container corresponding to each oxidant.
[0019] The flammability and explosiveness of each oxidant are identified, and the flammability and explosiveness are divided to obtain the flammability and explosiveness level corresponding to each oxidant. Each flammability and explosiveness level corresponds to a sealing requirement parameter. The sealing performance of the preliminary storage container is identified to obtain the sealing performance level. The flammability and explosiveness of each oxidant are matched with the flammability and explosiveness level to obtain the flammability and explosiveness level corresponding to the oxidant and the sealing requirement parameter of each oxidant. The sealing requirement parameter corresponding to each oxidant is matched with the sealing performance of each preliminary storage container to obtain the preliminary storage container corresponding to the sealing requirement parameter of each oxidant, and the corresponding preliminary storage container is marked as the pre-selected storage container.
[0020] According to the date, the duration of each day is set as a unit production time, and multiple unit production times are set as a unit production cycle, the release amount of each oxidant within the unit production time is obtained, and the total release amount per unit production cycle of each oxidant is obtained according to the release amount corresponding to the unit production time, and multiple historical release totals of each unit production cycle are obtained, and a historical release total change curve corresponding to each unit production cycle is obtained according to the multiple historical release totals, and the slope of the change curve is obtained according to the historical release total change curve. When the slope is a positive value, the total increase value corresponding to each unit production cycle is generated, and the total release amount and the total increase value of each unit production cycle are calculated and summed to obtain the estimated release total, and the estimated release total corresponding to the current unit production cycle is matched with the specification parameters of the preselected storage containers corresponding to each oxidant to obtain the required number of preselected storage containers for each oxidant corresponding to the estimated release total, and the required number of preselected storage containers corresponding to each oxidant is used as the oxidant storage information.
[0021] The storage monitoring unit is used to receive the oxidant storage information and conduct a comprehensive analysis of the oxidant storage information and storage data parameters, specifically: matching the oxidant storage information with each storage position to obtain the storage position corresponding to each oxidant, obtaining the storage environment parameters and storage monitoring data in the storage data parameters, obtaining the temperature and humidity data of the storage container according to the storage environment parameters, and obtaining the real-time image of the storage area according to the storage monitoring data, and identifying the real-time image to obtain the external image of each storage container; obtaining the pressure data and flow data of each storage container through the sensor, conducting a comprehensive analysis of the temperature and humidity data, real-time image, pressure data and flow data of each storage container to obtain the storage monitoring information, and obtaining a corresponding supervision signal according to the storage supervision information, and sending the supervision signal to the data storage unit.
[0022] As a further improvement of the present invention, the temperature and humidity data, real-time images, pressure data and flow data of each storage container are comprehensively analyzed. The specific analysis method is as follows:
[0023] Obtain the storage temperature range and reference temperature value corresponding to the oxidant, match the storage container with the storage temperature range corresponding to each oxidant to obtain the storage temperature range corresponding to each storage container, match the temperature data corresponding to each storage container with the corresponding storage temperature range, when the temperature data exceeds the storage temperature range, calculate the temperature data and the reference temperature value to obtain the difference and mark the value as the temperature anomaly index; similarly, obtain the humidity anomaly index, calculate and sum the temperature anomaly index and the humidity anomaly index to obtain the total environmental anomaly value.
[0024] The external image of each storage container is identified to obtain the images of each connection node and the appearance image of the storage container. According to the real-time image of the unit monitoring time period, the images of each connection node of the storage container are analyzed. When an abnormal phenomenon occurs in a connection node, the corresponding connection node is marked as an abnormal node. The abnormal node corresponds to a node abnormality index. The number of abnormal nodes is counted and the node abnormality indexes corresponding to each abnormal node are added and summed to obtain the total node abnormality value; the appearance standard image corresponding to each storage container is obtained, and the current appearance image of each storage container is overlapped and compared with the appearance standard image to obtain the appearance damage area value; the total node abnormality value and the appearance damage area value are added and summed to obtain the image abnormality index; abnormal phenomena include but are not limited to node displacement, deformation and leakage.
[0025] A corresponding pressure reference value is obtained from the storage container parameters of each storage container, and the pressure data of the current storage container is compared with the pressure reference value. When the pressure data is greater than the pressure reference value, the pressure overflow value is calculated by subtracting the pressure reference value from the pressure data; the outflow flow rate of the container and the flow rate to the treatment pool are obtained according to the flow data of each storage container, and the outflow flow rate and the flow rate to the treatment pool are calculated to obtain the difference and marked as the flow difference. When the flow difference is greater than the set threshold, the obtained flow difference is marked as an abnormal flow difference; the pressure overflow value and the abnormal flow difference corresponding to each storage container are calculated and summed to obtain the container abnormality index.
[0026] A right triangle is drawn with the total value of the environmental anomaly and the value of the image anomaly index as the two right-angled sides of the right triangle. A straight line perpendicular to the right triangle is drawn with the intersection of the two right-angled sides as the starting point. The length of the straight line is equal to the value of the container anomaly index. A triangular pyramid is constructed with the right triangle and the straight line. The volume of the triangular pyramid is calculated and the value of the volume is marked as the total value of the monitoring anomaly. When the total value of the monitoring anomaly is greater than the set threshold, the corresponding storage supervision information is generated as the monitoring anomaly.
[0027] The data storage unit is used to store oxidation processing parameters and storage data parameters, and store oxidation level storage information and supervision signals.
[0028] Compared with the prior art, the technical solution provided by the present invention has the following beneficial effects:
[0029] 1. The present invention obtains evaluation information of pre-oxidation treatment by analyzing oxidation treatment parameters, and obtains oxidant storage information by analyzing storage data parameters, so as to facilitate evaluation of oxidation treatment results and storage division according to characteristic information of the oxidant.
[0030] 2. The present invention obtains storage supervision information by comprehensively analyzing the oxidant storage information and storage data parameters, obtains a supervision signal based on the storage supervision information, and performs supervision processing on the oxidant based on the supervision signal, thereby avoiding human factors in manual inspections and increasing the efficiency of inspection supervision. BRIEF DESCRIPTION OF THE DRAWINGS
[0031] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. The following drawings are not intentionally scaled to the actual size, and the focus is on illustrating the main purpose of the present application.
[0032] Figure 1 It is a principle block diagram of the present invention. DETAILED DESCRIPTION
[0033] 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.
[0034] For ease of understanding, the specific process of the embodiment of the present invention is described below. Figure 1 In an embodiment of the present invention, an embodiment of a pre-oxidation treatment system for a water purification plant includes: a data acquisition unit, a pre-oxidation treatment unit, an oxidant storage unit, a storage monitoring unit and a data storage unit.
[0035] The data acquisition unit includes a processing data acquisition module and a storage data acquisition module.
[0036] The processing data acquisition module collects oxidation processing parameters of the oxidation processing and sends the oxidation processing parameters to the data storage unit; the oxidation processing parameters include raw water quality parameters, oxidant addition parameters and processing parameters.
[0037] The storage data acquisition module acquires storage data parameters of the oxidant and sends the storage data parameters to the data storage unit; the storage data parameters include oxidant property parameters, storage container parameters, storage environment parameters and storage monitoring data.
[0038] The pre-oxidation processing unit acquires oxidation processing parameters and analyzes the oxidation processing parameters to obtain pre-oxidation processing evaluation information, and sends the pre-oxidation processing evaluation information to the data storage unit.
[0039] The oxidation treatment parameters are analyzed in the following specific ways:
[0040] The raw water quality parameters in the oxidation treatment parameters are obtained. The raw water quality parameters include organic matter content, microbial parameters and heavy metal concentration. The treatment parameters and oxidant addition parameters corresponding to the raw water are obtained according to the raw water quality parameters. The treated water quality parameters after pre-oxidation treatment are obtained by executing the treatment parameters and oxidant addition parameters.
[0041] The treated water quality parameters after the pre-oxidation treatment are analyzed, the corresponding organic matter content after the pre-oxidation treatment is marked as the treated organic matter content, the corresponding pre-set organic matter standard content is obtained, the treated organic matter content is compared with the organic matter standard content, and when the treated organic matter content is greater than the organic matter standard content, the treated organic matter content is subtracted from the organic matter standard content to obtain the organic matter impact content.
[0042] The microbial parameters corresponding to the treated water quality parameters after the pre-oxidation treatment are identified to obtain the microbial species and microbial quantity, the microbial species are divided into non-influenced microorganisms and influential microorganisms, the non-influenced microorganism category quantity and the influential microorganism category quantity are respectively counted, the influential microorganism category quantity and the total number of microorganism species are calculated to obtain a ratio and the ratio is marked as the influential microorganism ratio; the number of microorganisms corresponding to each influential microorganism is obtained, and a preset microbial content threshold corresponding to the influential microorganism is obtained, the microbial content corresponding to each influential microorganism is compared with the microbial content threshold, when the microbial content exceeds the microbial content threshold, the part exceeding the threshold is marked as abnormal excess, the abnormal excess is divided into multiple excess intervals, each excess interval corresponds to an excess impact value, the abnormal excess corresponding to each influential microorganism is matched with the multiple excess intervals to obtain the excess impact value corresponding to each influential microorganism, the excess impact value of each influential microorganism is calculated and summed to obtain the excess total impact value, and the total excess impact value is multiplied by the influential microorganism ratio to obtain the microbial impact index.
[0043] The treated heavy metal content is obtained from the heavy metal content after pre-oxidation treatment, and the heavy metal content threshold corresponding to the pre-set treated heavy metal content is obtained. The treated heavy metal content is compared with the heavy metal content threshold. When the treated heavy metal content is greater than the heavy metal content threshold, the portion exceeding the heavy metal content threshold is marked as a heavy metal impact index.
[0044] The organic matter impact content, microbial impact index and heavy metal impact index are normalized and their values are taken, and the water quality impact index SZ is obtained according to the formula SZ=YJ×k1+WS×k2+JS×k3; wherein YJ, WS and JS represent the organic matter impact content, microbial impact index and heavy metal impact index respectively, k1, k2 and k3 are preset weight factors, and the values are 2.81, 2.14 and 1.05 respectively; when the water quality impact index is greater than the set threshold, a pre-oxidation treatment abnormal instruction is generated.
[0045] The oxidant storage unit acquires storage data parameters and analyzes the storage data parameters to obtain oxidant storage information, and sends the oxidant storage information to the storage supervision unit.
[0046] The storage data parameters are analyzed in the following specific ways:
[0047] Obtain the oxidant property parameters of various oxidants in the storage data, and identify the oxidant property parameters to obtain the corrosiveness and flammability and explosiveness of each oxidant; identify the storage container parameters to obtain the container material, sealing and specification parameters; obtain the corrosiveness of each oxidant and obtain the corrosive material corresponding to each oxidant according to the corrosiveness, match the corrosive material of each oxidant with the container material corresponding to the storage container parameters, obtain the storage container that does not react with each oxidant and mark the corresponding storage solvent as the primary storage container corresponding to each oxidant.
[0048] The flammability and explosiveness of each oxidant are identified, and the flammability and explosiveness are divided to obtain the flammability and explosiveness level corresponding to each oxidant. Each flammability and explosiveness level corresponds to a sealing requirement parameter. The sealing performance of the preliminary storage container is identified to obtain the sealing performance level. The flammability and explosiveness of each oxidant are matched with the flammability and explosiveness level to obtain the flammability and explosiveness level corresponding to the oxidant and the sealing requirement parameter of each oxidant. The sealing requirement parameter corresponding to each oxidant is matched with the sealing performance of each preliminary storage container to obtain the preliminary storage container corresponding to the sealing requirement parameter of each oxidant, and the corresponding preliminary storage container is marked as the pre-selected storage container.
[0049] According to the date, the duration of each day is set as a unit production time, and multiple unit production times are set as a unit production cycle, the release amount of each oxidant within the unit production time is obtained, and the total release amount per unit production cycle of each oxidant is obtained according to the release amount corresponding to the unit production time, and multiple historical release totals of each unit production cycle are obtained, and a historical release total change curve corresponding to each unit production cycle is obtained according to the multiple historical release totals, and the slope of the change curve is obtained according to the historical release total change curve. When the slope is a positive value, the total increase value corresponding to each unit production cycle is generated, and the total release amount and the total increase value of each unit production cycle are calculated and summed to obtain the estimated release total, and the estimated release total corresponding to the current unit production cycle is matched with the specification parameters of the preselected storage containers corresponding to each oxidant to obtain the required number of preselected storage containers for each oxidant corresponding to the estimated release total, and the required number of preselected storage containers corresponding to each oxidant is used as the oxidant storage information.
[0050] The storage supervision unit receives the oxidant storage information and performs a comprehensive analysis on the oxidant storage information and storage data parameters to obtain storage supervision information, obtains a corresponding supervision signal according to the storage supervision information, and sends the supervision signal to the data storage unit.
[0051] A comprehensive analysis of the oxidant storage information and storage data parameters is performed, and the specific analysis method is as follows:
[0052] The oxidant storage information is matched with each storage position to obtain the storage position corresponding to each oxidant, and the storage environment parameters and storage monitoring data in the storage data parameters are obtained. The temperature and humidity data of the storage container are obtained according to the storage environment parameters, and the real-time image of the storage area is obtained according to the storage monitoring data, and the real-time image is identified to obtain the external image of each storage container; the pressure data and flow data of each storage container are obtained through the sensor.
[0053] Obtain the storage temperature range and reference temperature value corresponding to the oxidant, match the storage container with the storage temperature range corresponding to each oxidant to obtain the storage temperature range corresponding to each storage container, match the temperature data corresponding to each storage container with the corresponding storage temperature range, when the temperature data exceeds the storage temperature range, calculate the temperature data and the reference temperature value to obtain the difference and mark the value as the temperature anomaly index; similarly, obtain the humidity anomaly index, calculate and sum the temperature anomaly index and the humidity anomaly index to obtain the total environmental anomaly value.
[0054] The external image of each storage container is identified to obtain the images of each connection node and the appearance image of the storage container. According to the real-time image of the unit monitoring time period, the images of each connection node of the storage container are analyzed. When an abnormal phenomenon occurs in a connection node, the corresponding connection node is marked as an abnormal node. The abnormal node corresponds to a node abnormality index. The number of abnormal nodes is counted and the node abnormality indexes corresponding to each abnormal node are added and summed to obtain the total node abnormality value; the appearance standard image corresponding to each storage container is obtained, and the current appearance image of each storage container is overlapped and compared with the appearance standard image to obtain the appearance damage area value; the total node abnormality value and the appearance damage area value are added and summed to obtain the image abnormality index; abnormal phenomena include but are not limited to node displacement, deformation and leakage.
[0055] A corresponding pressure reference value is obtained from the storage container parameters of each storage container, and the pressure data of the current storage container is compared with the pressure reference value. When the pressure data is greater than the pressure reference value, the pressure overflow value is calculated by subtracting the pressure reference value from the pressure data; the outflow flow rate of the container and the flow rate to the treatment pool are obtained according to the flow data of each storage container, and the outflow flow rate and the flow rate to the treatment pool are calculated to obtain the difference and marked as the flow difference. When the flow difference is greater than the set threshold, the obtained flow difference is marked as an abnormal flow difference; the pressure overflow value and the abnormal flow difference corresponding to each storage container are calculated and summed to obtain the container abnormality index.
[0056] A right triangle is drawn with the total value of the environmental anomaly and the value of the image anomaly index as the two right-angled sides of the right triangle. A straight line perpendicular to the right triangle is drawn with the intersection of the two right-angled sides as the starting point. The length of the straight line is equal to the value of the container anomaly index. A triangular pyramid is constructed with the right triangle and the straight line. The volume of the triangular pyramid is calculated and the value of the volume is marked as the total value of the monitoring anomaly. When the total value of the monitoring anomaly is greater than the set threshold, the corresponding storage supervision information is generated as the monitoring anomaly.
[0057] The data storage unit stores oxidation process parameters and storage data parameters, and stores oxidation level storage information and supervision signals.
[0058] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims
1. A pre-oxidation treatment system for a water purification plant, comprising a data acquisition unit and a data storage unit, characterized in that: Also includes: A pre-oxidation processing unit, used for acquiring oxidation processing parameters and analyzing the oxidation processing parameters to obtain pre-oxidation processing evaluation information, and sending the pre-oxidation processing evaluation information to the data storage unit; An oxidant storage unit, used to obtain storage data parameters and analyze the storage data parameters to obtain oxidant storage information, and send the oxidant storage information to a storage supervision unit; The storage monitoring unit is used to receive the oxidant storage information and conduct a comprehensive analysis of the oxidant storage information and storage data parameters, specifically: matching the oxidant storage information with each storage location to obtain the storage location corresponding to each oxidant, obtaining the storage environment parameters and storage monitoring data in the storage data parameters, obtaining the temperature and humidity data of the storage container according to the storage environment parameters, obtaining the real-time image of the storage area according to the storage monitoring data, and identifying the real-time image to obtain the external image of each storage container; The pressure data and flow data of each storage container are obtained through sensors, and the temperature and humidity data, real-time images, pressure data and flow data of each storage container are comprehensively analyzed to obtain storage supervision information, and corresponding supervision signals are obtained based on the storage supervision information, and the supervision signals are sent to the data storage unit.
2. A pre-oxidation treatment system for a water purification plant according to claim 1, characterized in that: The data acquisition unit includes a processing data acquisition module and a storage data acquisition module, specifically: A processing data acquisition module, used for collecting oxidation treatment parameters of oxidation treatment and sending the oxidation treatment parameters to a data storage unit; the oxidation treatment parameters include raw water quality parameters, oxidant addition parameters and processing parameters; The storage data acquisition module is used to collect storage data parameters of the oxidant and send the storage data parameters to the data storage unit; the storage data parameters include oxidant property parameters, storage container parameters, storage environment parameters and storage monitoring data.
3. A pre-oxidation treatment system for a water purification plant according to claim 1, characterized in that: The temperature and humidity data, real-time images, pressure data and flow data of each storage container are comprehensively analyzed, and the specific analysis method is as follows: Obtain the storage temperature interval and reference temperature value corresponding to the oxidant, match the storage container with the storage temperature interval corresponding to each oxidant to obtain the storage temperature interval corresponding to each storage container, match the temperature data corresponding to each storage container with the corresponding storage temperature interval, and when the temperature data exceeds the storage temperature interval, calculate the difference between the temperature data and the reference temperature value and mark the value as the temperature anomaly index; Similarly, the humidity anomaly index is obtained, and the temperature anomaly index and the humidity anomaly index are calculated and summed to obtain the total environmental anomaly value; Identify the external image of each storage container to obtain the image of each connection node and the appearance image of the storage container. Analyze the image of each connection node of the storage container according to the real-time image of the unit monitoring time period. When an abnormal phenomenon occurs in a connection node, the corresponding connection node is marked as an abnormal node. The abnormal node corresponds to a node abnormality index. The number of abnormal nodes is counted and the node abnormality indexes corresponding to each abnormal node are added and summed to obtain the total node abnormality value; obtain the appearance standard image corresponding to each storage container, overlap and compare the current appearance image of each storage container with the appearance standard image to obtain the appearance damage area value; add and sum the node abnormality total value and the appearance damage area value to obtain the image abnormality index; The corresponding pressure reference value is obtained from the storage container parameters of each storage container, and the pressure data of the current storage container is compared with the pressure reference value. When the pressure data is greater than the pressure reference value, the pressure overflow value is calculated by subtracting the pressure reference value from the pressure data; the outflow flow rate of the container and the flow rate to the treatment pool are obtained according to the flow data of each storage container, and the difference between the outflow flow rate of the container and the flow rate to the treatment pool is calculated and marked as a flow difference. When the flow difference is greater than a set threshold, the corresponding flow difference is marked as an abnormal flow difference; The pressure overflow value and the abnormal flow difference corresponding to each storage container are calculated and summed to obtain the container abnormality index; A right triangle is drawn with the total value of the environmental anomaly and the value of the image anomaly index as the two right-angled sides of the right triangle. A straight line perpendicular to the right triangle is drawn with the intersection of the two right-angled sides as the starting point. The length of the straight line is equal to the value of the container anomaly index. A triangular pyramid is constructed with the right triangle and the straight line. The volume of the triangular pyramid is calculated and the value of the volume is marked as the total value of the monitoring anomaly. When the total value of the monitoring anomaly is greater than the set threshold, the corresponding storage supervision information is generated as the monitoring anomaly.
4. A pre-oxidation treatment system for a water purification plant according to claim 1, characterized in that: The oxidation treatment parameters are analyzed, and the specific analysis method is as follows: Obtaining raw water quality parameters in the oxidation treatment parameters, the raw water quality parameters including organic matter content, microbial parameters and heavy metal concentration, obtaining treatment parameters and oxidant placement parameters corresponding to the raw water according to the raw water quality parameters, and obtaining treatment water quality parameters after pre-oxidation treatment by executing the treatment parameters and oxidant placement parameters; Analyze the treated water quality parameters after the pre-oxidation treatment, mark the corresponding organic matter content after the pre-oxidation treatment as the treated organic matter content, obtain the corresponding preset organic matter standard content, compare the treated organic matter content with the organic matter standard content, and when the treated organic matter content is greater than the organic matter standard content, subtract the organic matter standard content from the treated organic matter content to obtain the organic matter impact content; Identify the microbial parameters corresponding to the treated water quality parameters after pre-oxidation treatment to obtain the microbial species and microbial quantity, divide the microbial species into insignificant microorganisms and influential microorganisms, respectively obtain the insignificant microorganism category quantity and the influential microorganism category quantity, calculate the influential microorganism category quantity and the total number of microorganism species to obtain a ratio and mark the ratio as the influential microorganism ratio; obtain the number of microorganisms corresponding to each influential microorganism, and obtain a preset microbial content threshold corresponding to the influential microorganism, compare the microbial content corresponding to each influential microorganism with the microbial content threshold, and when the microbial content exceeds the microbial content threshold, mark the part exceeding the threshold as abnormal excess, divide the abnormal excess into multiple excess intervals, each excess interval corresponds to an excess impact value, match the abnormal excess corresponding to each influential microorganism with the multiple excess intervals to obtain the excess impact value corresponding to each influential microorganism, calculate and sum the excess impact value of each influential microorganism to obtain the total excess impact value, and multiply the total excess impact value by the influential microorganism ratio to obtain the microbial impact index; The treated heavy metal content is obtained from the heavy metal content after the pre-oxidation treatment, and a heavy metal content threshold value corresponding to the pre-set treated heavy metal content is obtained, and the treated heavy metal content is compared with the heavy metal content threshold value. When the treated heavy metal content is greater than the heavy metal content threshold value, the portion exceeding the heavy metal content threshold value is marked as a heavy metal impact index; The water quality impact index is obtained by comprehensively calculating the organic matter impact content, microbial impact index and heavy metal impact index; when the water quality impact index is greater than the set threshold, a pre-oxidation treatment abnormal instruction is generated.
5. A pre-oxidation treatment system for a water purification plant according to claim 1, characterized in that: The storage data parameters are analyzed in the following specific analysis method: Obtain the oxidant property parameters of various oxidants in the storage data, and identify the oxidant property parameters to obtain the corrosiveness and flammability and explosiveness of each oxidant; identify the storage container parameters to obtain the container material, sealing and specification parameters; obtain the corrosiveness of each oxidant and obtain the corrosive material corresponding to each oxidant according to the corrosiveness, match the corrosive material of each oxidant with the container material corresponding to the storage container parameters, obtain the storage container that does not react with each oxidant, and mark the corresponding storage solvent as the primary storage container corresponding to each oxidant; Identify the flammability and explosiveness of each oxidant, divide the flammability and explosiveness into the flammability and explosiveness grades corresponding to each oxidant, each flammability and explosiveness grade corresponds to a sealing requirement parameter, identify the sealing performance of the preliminary selected storage container to obtain the sealing performance grade, match the flammability and explosiveness of each oxidant with the flammability and explosiveness grade to obtain the flammability and explosiveness grade corresponding to the oxidant and obtain the sealing requirement parameter of each oxidant, match the sealing requirement parameter corresponding to each oxidant with the sealing performance of each preliminary selected storage container, obtain the preliminary selected storage container corresponding to the sealing requirement parameter corresponding to each oxidant, and mark the corresponding preliminary selected storage container as the pre-selected storage container; According to the date, the duration of each day is set as a unit production time, and multiple unit production times are set as a unit production cycle, the release amount of each oxidant within the unit production time is obtained, and the total release amount per unit production cycle of each oxidant is obtained according to the release amount corresponding to the unit production time, and multiple historical release totals of each unit production cycle are obtained, and a historical release total change curve corresponding to each unit production cycle is obtained according to the multiple historical release totals, and the slope of the change curve is obtained according to the historical release total change curve. When the slope is a positive value, the total increase value corresponding to each unit production cycle is generated, and the total release amount and the total increase value of each unit production cycle are calculated and summed to obtain the estimated release total, and the estimated release total corresponding to the current unit production cycle is matched with the specification parameters of the preselected storage containers corresponding to each oxidant to obtain the required number of preselected storage containers for each oxidant corresponding to the estimated release total, and the required number of preselected storage containers corresponding to each oxidant is used as the oxidant storage information.