Industrial water quota dynamic evaluation method and system based on real-time data

Abstract

The invention discloses an industrial water quota dynamic evaluation method and system based on real-time data, and relates to the technical field of water quota evaluation. Comprising the following steps: data acquisition: acquiring a water use department of an evaluation factory to obtain a target department, and acquiring past water use information of the target department to obtain past water use data; according to the invention, through a set matching method, the preset water consumption information is obtained by matching the real-time time according to the previous water consumption data, then the preset water consumption quota information is continuously optimized and adjusted through a set optimization adjustment method in cooperation with the real-time data to obtain a water consumption quota information set updated in real time, and through a set influence discrimination method, the water consumption quota information set is accurately determined. Therefore, a subsequent optimization adjustment method can further adjust and optimize all the pre-used water quota information according to one piece of pre-used water quota information, so that the flexibility and evaluation efficiency of dynamic adjustment of the water quota can be improved, and the timeliness of adjustment of the industrial water quota can be ensured; therefore, the operation efficiency of a chemical manufacturing plant is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of water quota assessment, and in particular to a method and system for dynamic assessment of industrial water quota based on real-time data. Background Art

[0002] Industrial water refers to the water resources used in the industrial production process, mainly including the water required for the production, processing and auxiliary links of various industrial products. With the increase in global demand for water resources, many regions are facing water shortage problems. In the process of factory water use, in order to save water resources, it is often necessary to conduct a quota dynamic assessment of industrial water. Through quota dynamic assessment, water use can be optimized to improve the utilization efficiency of water resources.

[0003] The patent publication number is CN118428598A, which is a water quota evaluation method and system based on a comprehensive index evaluation method. The method includes obtaining the water quota coverage results of the evaluation area, the rationality results of the water quota of each industry in the evaluation area, the practicality results of the water quota of each industry in the evaluation area, the advancement results of the water quota of each industry in the evaluation area, the standardization results of the water quota of each industry in the evaluation area, and the timeliness results of the water quota of each industry in the evaluation area according to the water quota of all industries in the evaluation area, the water consumption characteristics of the industry, the water consumption data of each industry in the evaluation area, the first subject water quota, the second subject water quota, the first subject industry classification and the revision period, so as to obtain the water quota evaluation results of the evaluation area. The present invention solves the problems that the existing method mainly uses qualitative evaluation, some quantitative evaluation factors are understood differently in different places, a unified evaluation index system has not yet been formed, and the evaluation situation does not form a corresponding relationship with the evaluation conclusion.

[0004] In the scenario of dynamic quota evaluation of industrial water use in chemical manufacturing plants, the water quota evaluation method based on the above and similar principles has a large evaluation scope. When it is aimed at a single factory, there is a disadvantage that the water quota for each department is not detailed enough. It obtains water use characteristics based on past water use conditions, and it does not have the function of dynamic adjustment based on real-time data. At the same time, chemical manufacturing plants have the characteristics of huge water consumption and high volatility, resulting in large water fee expenditures. Therefore, when judging water use characteristics based on past water use conditions for chemical manufacturing plants with high water volatility, there will be a problem of short-term low water use efficiency, that is, the dynamic adjustment of water quotas is not flexible enough, and the timeliness of adjusting industrial water quotas cannot be guaranteed, thereby reducing the operating efficiency of chemical manufacturing plants. Therefore, the present invention is proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a method and system for dynamic evaluation of industrial water quota based on real-time data to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solution: a method for dynamic evaluation of industrial water quota based on real-time data, the method comprising: Data acquisition: obtain the water-using department of the evaluated factory to obtain the target department, obtain the past water-using information of the target department to obtain the past water-using data, obtain the real-time time and the water-using data of the target department at the real-time time to obtain the real-time time and real-time data; Data processing: Establish the correlation between past water use data and target departments, determine the impact relationship between water use among target departments through the impact identification method, and divide the target departments into gradients according to the order of impact to obtain the result information, which includes the target impact relationship set and the target gradient department; Matching and adjustment: Analyze and match the previous water use data and real-time time through analytical methods to obtain the pre-water use quota information. Based on the real-time data and result information, optimize and adjust the pre-water use quota information of all target departments through optimization and adjustment methods to obtain a real-time updated water use quota information set; Emergency generation: Monitor whether there are equipment and process adjustments in the target department to obtain monitoring results, and generate emergency water quotas through emergency methods based on the information on equipment and process adjustments in the target department; Water supply output: When the monitoring results show that there are equipment and process adjustments in the target department, water is supplied to the target department based on the emergency water quota; when the monitoring results show that there are no equipment and process adjustments in the target department, water is supplied to all target departments based on the real-time updated water quota information set; The impact identification method includes: sorting the target departments based on the step information of evaluating the factory's production products to obtain the target gradient departments, extracting adjacent target gradient departments to obtain the first department and the second department, presetting a number of target time period sets, the target time period set including the first target time period and the second target time period, intercepting the past water use data of the first department based on the first target time period to obtain the first water use information, intercepting the past water use data of the second department based on the second target time period to obtain the second water use information, obtaining the target impact relationship of adjacent target gradient departments through a judgment method based on multiple groups of first water use information and multiple groups of second water use information, and integrating the target impact relationships of all adjacent target gradient departments to obtain a target impact relationship set.

[0007] Furthermore, the process of presetting several groups of target time period sets is: presetting several initial time periods, intercepting the product information from the start of processing to the completion of processing in the first department in the initial time period, extracting the time period from the start of processing to the completion of processing when the product information arrives at the second department to obtain the final time period, integrating the initial time period and the final time period to obtain a target time period set, the initial time period is the first target time period, and the final time period is the second target time period.

[0008] Furthermore, the judgment method includes: establishing a correlation relationship between the first water use information and the second water use information, extracting the first water use information at an intermediate value from multiple groups of first water use information and obtaining the first benchmark water use information, extracting the second water use information corresponding to the benchmark water use information from multiple groups of second water use information based on the correlation relationship to obtain the second benchmark water use information, extracting the maximum value first water use information and the minimum value water use information from multiple groups of first water use information to obtain the maximum water use information and the minimum water use information, extracting the second water use information corresponding to the maximum water use information and the minimum water use information from multiple groups of second water use information based on the correlation relationship to obtain the first reference information and the second reference information, and using the first benchmark water use information as the standard to judge whether the second benchmark water use information is to the first reference information when the first benchmark water use information is to the maximum water use information. The first change trend is obtained by obtaining the difference between the first benchmark water use information and the maximum water use information, and the difference between the second benchmark water use information and the first reference information, to obtain the first change difference and the first dependent difference; a first reference ratio is obtained based on the first change difference and the first dependent difference; a change from the second benchmark water use information to the second reference information when the first benchmark water use information is to the minimum water use information is determined to obtain the second change trend; the difference between the first benchmark water use information and the minimum water use information, and the difference between the second benchmark water use information and the second reference information are obtained to obtain the second change difference and the second dependent difference; a second reference ratio is obtained based on the second change difference and the second dependent difference; the first benchmark water use information, the first change trend, the first reference ratio, the second dependent difference and the second reference ratio are integrated to obtain the target impact relationship.

[0009] Furthermore, the analysis method includes: splitting past water use data to obtain past water use information and time information corresponding to the past water use information, obtaining date features of the time information to obtain reference features associated with the time information, establishing a reference library for storing reference features, obtaining date features of real-time time to obtain target features, traversing the reference library for similarity matching of the target features to obtain matching results, extracting the reference features with the highest similarity to the target features in the reference library based on the matching results to obtain marking features, determining the time information of the marking features based on the association to obtain the target time, adding nodes to the target time based on the real-time time, extracting past water use information corresponding to the target time to obtain target water use information, and extracting the target water use information after the node in the target time to obtain pre-water quota information.

[0010] Furthermore, the optimization and adjustment method includes: presetting standard units, judging whether there is an abnormal water supply in the target department based on real-time data to obtain a judgment result, the abnormal water supply includes insufficient water supply and excessive water supply, when the judgment result is that the water supply abnormality is insufficient water supply, adding standard units to the pre-water quota information to obtain real-time updated water quota information, when the insufficient water supply disappears, stopping adding standard units, when the judgment result is that the water supply abnormality is excessive water supply, reducing the standard units of the pre-water quota information to obtain real-time updated water quota information, when the excessive water supply disappears, stopping reducing the standard units, adjusting the pre-water quota information of adjacent target departments according to the real-time updated water quota information in combination with the first reference ratio and the second reference ratio to obtain real-time updated adjusted quota information, integrating the real-time updated water quota information and the updated adjusted quota information to obtain a real-time updated water quota information set.

[0011] Furthermore, the emergency method includes: obtaining guidance information for equipment and process adjustments in the target department, the guidance information is adding equipment or reducing equipment, obtaining the water consumption for normal operation of the added equipment and the reduced equipment to obtain the added water consumption and the reduced water consumption, extracting the pre-water quota information corresponding to the target department to obtain the water consumption information to be adjusted, and adding water consumption or reducing water consumption to the water consumption information to be adjusted based on the guidance information to obtain the emergency water quota.

[0012] Furthermore, a feedback frequency is preset, and feedback address information is obtained. The feedback address information is the address information for feeding back information to the user. The real-time data includes actual water consumption. The equipment in the target department and the actual water consumption of the equipment in the target department are recorded in real time to obtain instant information. The water quota information set is added to the instant information, and the instant information is sent to the user based on the feedback address information and the feedback frequency.

[0013] A dynamic evaluation system for industrial water quota based on real-time data uses the above-mentioned dynamic evaluation method for industrial water quota based on real-time data.

[0014] Compared with the prior art, the present invention has the following beneficial effects: The method and system for dynamic evaluation of industrial water quotas based on real-time data, through a set matching method, matches the real-time time according to the previous water use data to obtain pre-water use information, and then continuously optimizes and adjusts the pre-water quota information in conjunction with the real-time data through a set optimization and adjustment method to obtain a real-time updated water quota information set, and through a set impact identification method, it is convenient for the subsequent optimization and adjustment method to further adjust and optimize all pre-water quota information according to one of the pre-water quota information, thereby improving the flexibility and evaluation efficiency of the dynamic adjustment of the water quota, so that the timeliness of adjusting the industrial water quota can be guaranteed, thereby improving the operating efficiency of the chemical manufacturing plant.

[0015] At the same time, through the set emergency method, an emergency water quota can be generated to cope with equipment and process adjustments in special target departments and improve the scope of optimizing water use efficiency. By presetting several sets of target time periods, the number of samples can be expanded to facilitate the judgment method to judge the target impact relationship between adjacent target gradient departments. The first target time period and the second time period both represent the time period from product processing to completion of processing. Through this process, the standards can be unified, making the target impact relationship determined by the judgment method more accurate. Through the set analysis method, similarity matching is performed according to the date characteristics of the time information and the real-time time, and the corresponding past water use information is selected according to the matching results, and then the past water use information is intercepted according to the real-time time to obtain the pre-water quota information.

[0016] At the same time, through the set optimization adjustment method, the pre-water quota information of the adjacent target departments is adjusted according to the real-time updated water quota information after adjustment in combination with the first reference ratio and the second reference ratio to obtain the real-time updated adjustment quota information, and the pre-water quota information of the adjacent target departments can be synchronously adjusted at the same time to improve the adjustment efficiency, and the real-time information is obtained by recording the actual water consumption of the equipment in the target department and the equipment in the target department in real time, and the water quota information set is added to the real-time information, and the real-time information is sent to the user when the feedback frequency decreases, so that the user can understand the water consumption of the target department and the changes in the water quota. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a schematic diagram of the data processing stage and matching adjustment structure of the present invention; Figure 2 It is a structural schematic diagram of the emergency generation phase and the water supply output phase of the present invention; Figure 3 It is a schematic diagram of the structure of the impact determination method of the present invention; Figure 4 It is a structural schematic diagram of the judgment method of the present invention; Figure 5It is a schematic diagram of the structure of the optimization and adjustment method of the present invention. DETAILED DESCRIPTION

[0018] 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.

[0019] Chemical manufacturing plants focus on producing a variety of chemical products. The production process of the plant has a high demand for water, involving multiple links, including raw material processing, reaction process, product cooling and cleaning, etc. With the expansion of production scale and increasingly stringent environmental regulations, the plant is facing the pressure of improving water efficiency, reducing costs and meeting environmental standards. The dynamic evaluation method of industrial water quota is a management strategy that timely adjusts and optimizes industrial water quotas through real-time data monitoring and analysis. It aims to improve the utilization efficiency of water resources, reduce production costs, and meet environmental standards. By evaluating and optimizing water quotas, the amount of wastewater generated can be reduced, reducing pollution to the environment, and helping enterprises achieve sustainable development goals.

[0020] like Figure 1-Figure 5 As shown, the present invention provides a technical solution: a method for dynamic evaluation of industrial water quota based on real-time data, the method comprising: Data acquisition: obtain the water-using department of the evaluated factory to obtain the target department, obtain the past water-using information of the target department to obtain the past water-using data, obtain the real-time time and the water-using data of the target department at the real-time time to obtain the real-time time and real-time data; Data processing: Establish the correlation between past water use data and target departments, determine the impact relationship between water use among target departments through the impact identification method, and divide the target departments into gradients according to the order of impact to obtain the result information, which includes the target impact relationship set and the target gradient department; Matching and adjustment: Analyze and match the previous water use data and real-time time through analytical methods to obtain the pre-water use quota information. Based on the real-time data and result information, optimize and adjust the pre-water use quota information of all target departments through optimization and adjustment methods to obtain a real-time updated water use quota information set; Emergency generation: Monitor whether there are equipment and process adjustments in the target department to obtain monitoring results, and generate emergency water quotas through emergency methods based on the information on equipment and process adjustments in the target department; Water supply output: When the monitoring results show that there are equipment and process adjustments in the target department, water is supplied to the target department based on the emergency water quota; when the monitoring results show that there are no equipment and process adjustments in the target department, water is supplied to all target departments based on the real-time updated water quota information set; It should be noted that in the data acquisition stage, the target department is obtained based on the water-using departments in the evaluated factory, such as the production department, the batching and mixing department, and the cleaning and maintenance department. The past water use data is obtained by querying the past water use records of the target department. The real-time time is the current time, and it can also be the time when the water quota needs to be dynamically evaluated. The real-time data is the water use data of the target department at real time. In the data processing stage, by establishing the association, it is convenient to query the target department through the past water use data and query the past water use data through the target department. Through the set impact judgment method, the water use impact relationship between the target departments can be obtained to obtain the target impact relationship set. Through the target impact relationship set, it is convenient for the subsequent optimization and adjustment method to further adjust and optimize all the pre-water use quota information according to one of the pre-water use quota information to improve the optimization and adjustment efficiency and water use efficiency. At the same time, the target department is gradient divided according to the order of influence to obtain the target gradient department. In the matching and adjustment stage, through the set analysis method, the pre-water use quota of the target department is obtained by analyzing and matching according to the real-time time and the past water use data. Information, at the same time, according to the real-time data and result information, the pre-water quota information is optimized and adjusted in real time through the optimization and adjustment method to obtain a real-time updated water quota information set, the water quota information set includes several water quota information corresponding to several target departments, in the emergency generation stage, by monitoring whether there is equipment and process adjustment in the target department to determine whether to generate an emergency water quota, through the set emergency method according to the information of equipment and process adjustment in the target department and the pre-water quota information of the target department to generate an emergency water quota, in the water supply output stage, according to the monitoring results, the quota water supply output is carried out, the emergency water quota is output for the target department with equipment and process adjustment in the monitoring results, and the water quota information set is output for the target department without equipment and process modulation in other monitoring results, the emergency water quota can be generated by the set emergency method to deal with the equipment and process adjustment in the special target department, improve the scope of optimizing water use efficiency, and the present invention performs a dynamic evaluation of water quota for each department in a single factory, so that the quota water use for each department is more detailed.

[0021] like Figure 3As shown, the impact identification method includes: sorting the target departments based on the step information of evaluating the factory's production products to obtain the target gradient departments, extracting adjacent target gradient departments to obtain the first department and the second department, presetting several groups of target time period sets, the target time period set includes the first target time period and the second target time period, intercepting the past water use data of the first department based on the first target time period to obtain the first water use information, intercepting the past water use data of the second department based on the second target time period to obtain the second water use information, obtaining the target impact relationship of adjacent target gradient departments through a judgment method based on multiple groups of first water use information and multiple groups of second water use information, and integrating the target impact relationships of all adjacent target gradient departments to obtain a target impact relationship set.

[0022] It should be noted that the process of sorting the target departments based on the step information of evaluating the factory's production products to obtain the target gradient departments, that is, sorting the target departments according to the order in which the target departments process the products, can expand the number of samples by presetting several groups of target time period sets, so that the judgment method can judge the target impact relationship of adjacent target gradient departments, and obtain the target impact relationship of adjacent target gradient departments according to multiple groups of first water use information and multiple groups of second water use information through the set judgment method. By analogy, all adjacent target gradient departments are extracted to perform the above operations, so as to obtain the target impact relationship of all adjacent target gradient departments, and then all target impact relationships are integrated to obtain a target impact relationship set.

[0023] like Figure 3 As shown, the process of presetting several groups of target time period sets is: presetting several initial time periods, intercepting the product information from the start of processing to the completion of processing in the first department in the initial time period, extracting the time period from the start of processing to the completion of processing when the product information arrives at the second department to obtain the final time period, integrating the initial time period and the final time period to obtain the target time period set, the initial time period is the first target time period, and the final time period is the second target time period.

[0024] It should be noted that the initial time period is set by the user. The specific initial time period can be the peak period of the first department's operation, the normal operation period and the off-peak period, so that the subsequent judgment method can judge the target impact relationship. The first target time period and the second target time period both represent the time period from product processing to completion of processing. Through this process, the standards can be unified, making the target impact relationship determined by the judgment method more accurate.

[0025] like Figure 3As shown, the judgment method includes: establishing an association relationship between the first water use information and the second water use information, extracting the first water use information at an intermediate value from multiple groups of first water use information and obtaining the first benchmark water use information, extracting the second water use information corresponding to the benchmark water use information from multiple groups of second water use information based on the association relationship to obtain the second benchmark water use information, extracting the maximum value first water use information and the minimum value water use information from multiple groups of first water use information to obtain the maximum water use information and the minimum water use information, extracting the second water use information corresponding to the maximum water use information and the minimum water use information from multiple groups of second water use information based on the association relationship to obtain the first reference information and the second reference information, and judging the change of the second benchmark water use information to the first reference information when the first benchmark water use information reaches the maximum water use information by taking the first benchmark water use information as the standard. The first change trend is obtained by quantifying the difference between the first benchmark water use information and the maximum water use information, and the difference between the second benchmark water use information and the first reference information, to obtain the first change difference and the first dependent difference; a first reference ratio is obtained based on the first change difference and the first dependent difference; a change from the second benchmark water use information to the second reference information when the first benchmark water use information is to the minimum water use information is determined to obtain the second change trend; the difference between the first benchmark water use information and the minimum water use information, and the difference between the second benchmark water use information and the second reference information are obtained to obtain the second change difference and the second dependent difference; a second reference ratio is obtained based on the second change difference and the second dependent difference; the first benchmark water use information, the first change trend, the first reference ratio, the second dependent difference and the second reference ratio are integrated to obtain the target impact relationship.

[0026] It should be noted that the maximum water use information, the first benchmark water use information and the minimum water use information are obtained by extracting the maximum water use information, the middle value water use information and the minimum water use information from multiple groups of first water use information, and then the first reference information, the second benchmark water use information and the second reference information are obtained by extracting the water use information corresponding to the maximum water use information, the middle value water use information and the minimum water use information from multiple groups of second water use information according to the association relationship. The first change trend is obtained by combining the difference between the first benchmark water use information and the maximum water use information with the difference between the second benchmark water use information and the first reference information. The first reference ratio can be obtained by obtaining the difference between the first benchmark water use information and the maximum water use information and the difference between the second benchmark water use information and the first reference information. Conversely, the second change trend is obtained by combining the difference between the first benchmark water use information and the minimum water use information with the difference between the second benchmark water use information and the second reference information. The second reference ratio can be obtained by obtaining the difference between the first benchmark water use information and the minimum water use information and the difference between the second benchmark water use information and the second reference information.

[0027] The analysis method includes: splitting past water use data to obtain past water use information and time information corresponding to the past water use information, obtaining the date feature of the time information to obtain a reference feature associated with the time information, establishing a reference library for storing the reference feature, obtaining the date feature of the real-time time to obtain a target feature, traversing the target feature through the reference library for similarity matching to obtain a matching result, extracting the reference feature with the highest similarity to the target feature in the reference library based on the matching result to obtain a marking feature, determining the time information of the marking feature based on the association to obtain the target time, adding a node to the target time based on the real-time time, extracting the past water use information corresponding to the target time to obtain the target water use information, and extracting the target water use information after the node in the target time to obtain the pre-water quota information.

[0028] It should be noted that date features include quarterly features, date features, and week features, etc. The date features are expanded according to actual usage needs. The more detailed the date features are, the more accurate the subsequent matching results are. The reference features associated with the time information are obtained by obtaining the date features of the time information, and a reference library is established to store the reference features as reference samples. The date features of the real-time time are then obtained to obtain the target features. According to the target features, matching is performed in the reference samples and the reference features with the highest similarity are selected to obtain the marking features. The corresponding time information is determined by the marking features to obtain the target time. The node of the real-time time is added to the target time, and the past water use information of the target time after the node is intercepted to obtain the pre-water quota information. Through the set analysis method, similarity matching is performed according to the time information and the date features of the real-time time, and the corresponding past water use information is selected according to the matching results, and the past water use information is intercepted according to the real-time time to obtain the pre-water quota information.

[0029] like Figure 5 As shown, the optimization and adjustment method includes: presetting standard units, judging whether there is an abnormal water supply in the target department based on real-time data to obtain a judgment result, the abnormal water supply includes insufficient water supply and excessive water supply, when the judgment result is that the abnormal water supply is insufficient water supply, adding standard units to the pre-water quota information to obtain real-time updated water quota information, when the insufficient water supply disappears, stopping adding standard units, when the judgment result is that the abnormal water supply is excessive water supply, reducing the standard units of the pre-water quota information to obtain real-time updated water quota information, when the excessive water supply disappears, stopping reducing the standard units, adjusting the pre-water quota information of the adjacent target department according to the real-time updated water quota information in combination with the first reference ratio and the second reference ratio to obtain real-time updated adjusted quota information, integrating the real-time updated water quota information and the updated adjusted quota information to obtain a real-time updated water quota information set.

[0030] It should be noted that the standard unit is determined according to actual usage needs, and the specific unit and value size can be set by yourself. The process of judging whether there is abnormal water supply in the target department based on real-time data to obtain the judgment result can be carried out by installing monitoring equipment to judge whether there is abnormal water supply in the target department. When the water supply is insufficient, the pre-water quota information of the target department is added with standard units in real time to obtain real-time updated water quota information. When the water supply is excessive, the pre-water quota information of the target department is reduced by standard units to obtain real-time updated water quota information. At the same time, the pre-water quota information of the adjacent target department is adjusted according to the real-time updated water quota information after adjustment in combination with the first reference ratio and the second reference ratio to obtain real-time updated adjusted quota information. The pre-water quota information of the adjacent target departments can be adjusted synchronously at the same time to improve the adjustment efficiency.

[0031] like Figure 2 As shown, the emergency method includes: obtaining guidance information for equipment and process adjustments in the target department, the guidance information is adding equipment or reducing equipment, obtaining the water consumption of the added equipment and the reduced equipment during normal operation to obtain the added water consumption and the reduced water consumption, extracting the pre-water quota information corresponding to the target department to obtain the water consumption information to be adjusted, and adding water consumption or reducing water consumption to the water consumption information to be adjusted based on the guidance information to obtain the emergency water quota.

[0032] It should be noted that the process of obtaining the added water consumption and reduced water consumption by adding equipment and reducing the normal operation of equipment can be done by judging whether the equipment exists in the target department. If so, the water consumption of the normal operation of the equipment in the target department is extracted to obtain the added water consumption and reduced water consumption. If not, the added water consumption and reduced water consumption are obtained by retrieving the water use information of the equipment. The pre-water quota information of the target department can be adjusted according to the guidance information to obtain the emergency water quota, so as to cope with sudden equipment and process adjustments in the target department.

[0033] Preset feedback frequency and obtain feedback address information. The feedback address information is the address information for feeding back information to the user. Real-time data includes actual water consumption. Real-time recording of the equipment in the target department and the actual water consumption of the equipment in the target department is obtained. The water quota information set is added to the instant information. The instant information is sent to the user based on the feedback address information and the feedback frequency.

[0034] It should be noted that the feedback frequency is determined according to actual usage needs. The specific feedback frequency can be set to be sent once a day or once a week, etc. The feedback address information is directly obtained through the user. The feedback address information can be a telephone number and email address, etc. Instant information is obtained by real-time recording of the equipment in the target department and the actual water consumption of the equipment in the target department, and the water quota information set is added to the instant information. At the same time, when the feedback frequency decreases, the instant information is sent to the user, so that the user can understand the water use situation of the target department and the changes in the water quota.

[0035] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is limited by the attached embodiments and their equivalents.

Claims

1. A method for dynamic evaluation of industrial water quota based on real-time data, characterized in that: The method comprises: Data acquisition: obtain the water-using department of the evaluated factory to obtain the target department, obtain the past water-using information of the target department to obtain the past water-using data, obtain the real-time time and the water-using data of the target department at the real-time time to obtain the real-time time and real-time data; Data processing: Establish the correlation between past water use data and target departments, determine the impact relationship between water use among target departments through the impact identification method, and divide the target departments into gradients according to the order of impact to obtain the result information, which includes the target impact relationship set and the target gradient department; Matching and adjustment: Analyze and match the previous water use data and real-time time through analytical methods to obtain the pre-water use quota information. Based on the real-time data and result information, optimize and adjust the pre-water use quota information of all target departments through optimization and adjustment methods to obtain a real-time updated water use quota information set; Emergency generation: Monitor whether there are equipment and process adjustments in the target department to obtain monitoring results, and generate emergency water quotas through emergency methods based on the information on equipment and process adjustments in the target department; Water supply output: When the monitoring results show that there are equipment and process adjustments in the target department, water is supplied to the target department based on the emergency water quota; when the monitoring results show that there are no equipment and process adjustments in the target department, water is supplied to all target departments based on the real-time updated water quota information set; The impact identification method includes: sorting the target departments based on the step information of evaluating the factory's production products to obtain the target gradient departments, extracting adjacent target gradient departments to obtain the first department and the second department, presetting a number of target time period sets, the target time period set including the first target time period and the second target time period, intercepting the past water use data of the first department based on the first target time period to obtain the first water use information, intercepting the past water use data of the second department based on the second target time period to obtain the second water use information, obtaining the target impact relationship of adjacent target gradient departments through a judgment method based on multiple groups of first water use information and multiple groups of second water use information, and integrating the target impact relationships of all adjacent target gradient departments to obtain a target impact relationship set.

2. The method for dynamic evaluation of industrial water quota based on real-time data according to claim 1 is characterized in that: The process of presetting several groups of target time period sets is as follows: presetting several initial time periods, intercepting product information from the start of processing to the completion of processing in the first department in the initial time period, extracting the time period from the start of processing to the completion of processing when the product information arrives at the second department to obtain the final time period, integrating the initial time period and the final time period to obtain a target time period set, the initial time period being the first target time period, and the final time period being the second target time period.

3. The method for dynamic evaluation of industrial water quota based on real-time data according to claim 1 is characterized in that: The judgment method includes: establishing a correlation relationship between first water use information and second water use information, extracting first water use information at an intermediate value from multiple groups of first water use information and obtaining first benchmark water use information, extracting second water use information corresponding to the benchmark water use information from multiple groups of second water use information based on the correlation relationship to obtain second benchmark water use information, extracting maximum value first water use information and minimum value water use information from multiple groups of first water use information to obtain maximum water use information and minimum water use information, extracting second water use information corresponding to maximum water use information and minimum water use information from multiple groups of second water use information based on the correlation relationship to obtain first reference information and second reference information, and judging the change of the second benchmark water use information to the first reference information when the first benchmark water use information reaches the maximum water use information by taking the first benchmark water use information as the standard. The first change trend is obtained by quantifying the difference between the first benchmark water use information and the maximum water use information, and the difference between the second benchmark water use information and the first reference information, to obtain the first change difference and the first dependent difference; a first reference ratio is obtained based on the first change difference and the first dependent difference; a change from the second benchmark water use information to the second reference information when the first benchmark water use information is to the minimum water use information is determined to obtain the second change trend; the difference between the first benchmark water use information and the minimum water use information, and the difference between the second benchmark water use information and the second reference information are obtained to obtain the second change difference and the second dependent difference; a second reference ratio is obtained based on the second change difference and the second dependent difference; the first benchmark water use information, the first change trend, the first reference ratio, the second dependent difference and the second reference ratio are integrated to obtain the target impact relationship.

4. The method for dynamic evaluation of industrial water quota based on real-time data according to claim 1 is characterized in that: The analysis method includes: splitting past water use data to obtain past water use information and time information corresponding to the past water use information, obtaining date features of the time information to obtain reference features associated with the time information, establishing a reference library for storing reference features, obtaining date features of real-time time to obtain target features, traversing the reference library for similarity matching of the target features to obtain matching results, extracting reference features with the highest similarity to the target features in the reference library based on the matching results to obtain marking features, determining time information of the marking features based on association to obtain target time, adding nodes to the target time based on the real-time time, extracting past water use information corresponding to the target time to obtain target water use information, and extracting target water use information after the node in the target time to obtain pre-water quota information.

5. The method for dynamic assessment of industrial water quota based on real-time data according to claim 1, characterized in that: The optimization and adjustment method includes: presetting standard units, judging whether there is a water supply anomaly in the target department based on real-time data to obtain a judgment result, the water supply anomaly includes insufficient water supply and excessive water supply, when the judgment result is that the water supply anomaly is insufficient water supply, adding standard units to the pre-water quota information to obtain real-time updated water quota information, when the insufficient water supply disappears, stopping adding standard units, when the judgment result is that the water supply anomaly is excessive water supply, reducing the standard units of the pre-water quota information to obtain real-time updated water quota information, when the excessive water supply disappears, stopping reducing the standard units, adjusting the pre-water quota information of adjacent target departments according to the real-time updated water quota information in combination with the first reference ratio and the second reference ratio to obtain real-time updated adjusted quota information, integrating the real-time updated water quota information and the updated adjusted quota information to obtain a real-time updated water quota information set.

6. The method for dynamic evaluation of industrial water quota based on real-time data according to claim 1, characterized in that: The emergency method includes: obtaining guidance information for equipment and process adjustments in the target department, the guidance information is adding equipment or reducing equipment, obtaining the water consumption of the added equipment and the reduced equipment during normal operation to obtain the added water consumption and the reduced water consumption, extracting the pre-water quota information corresponding to the target department to obtain the water consumption information to be adjusted, and adding water consumption or reducing water consumption to the water consumption information to be adjusted based on the guidance information to obtain the emergency water quota.

7. The method for dynamic assessment of industrial water quota based on real-time data according to claim 1, characterized in that: Preset feedback frequency and obtain feedback address information. The feedback address information is the address information for feeding back information to the user. Real-time data includes actual water consumption. Real-time recording of the equipment in the target department and the actual water consumption of the equipment in the target department is obtained. The water quota information set is added to the instant information. The instant information is sent to the user based on the feedback address information and the feedback frequency.

8. A dynamic assessment system for industrial water quota based on real-time data, characterized by: A dynamic evaluation method for industrial water quota based on real-time data as described in any one of claims 1 to 7 is used.

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