Off-grid water treatment equipment control method and equipment based on GIS (Geographic Information System) and medium

Abstract

The invention provides an off-network water treatment equipment control method and equipment based on a GIS (Geographic Information System) and a medium. The method comprises the following steps: obtaining geographical coordinate information, extracting environment characteristic data, processing according to the environment characteristic data, obtaining an environment evaluation index, and querying through a preset water treatment process parameter database, historical water treatment process parameters, corresponding historical water treatment time point data and historical water quality treatment deviation rates of all node devices matched with water treatment are obtained, and real-time water treatment process parameters are obtained by combining the obtained real-time water treatment time point data with the historical water treatment time point data and the historical water quality treatment deviation rates. Carrying out water treatment to obtain effluent quality parameter data corresponding to each node, calculating to obtain a corresponding water quality treatment deviation rate, and respectively carrying out threshold comparison; through comparison of water treatment time points, calculation of an environment evaluation index and a water quality treatment deviation rate and comparison of threshold values, intelligent control of the off-network water treatment equipment is realized.

Description

Technical Field

[0001] The present application relates to the technical field of water treatment equipment control, and in particular to a GIS-based off-grid water treatment equipment control method, equipment and medium. Background Art

[0002] With the increasing shortage of water resources and the aggravation of environmental pollution, off-grid water treatment equipment has been more and more widely used in remote areas and temporary water use places. my country has a large territory, a large number of off-grid equipment, a relatively scattered distribution, and the water quantity and quality of each region vary greatly with time and location. Geographic Information System, referred to as GIS, is a specific and very important spatial information system. It is a technical system that collects, stores, manages, calculates, analyzes, displays and describes relevant geographical distribution data in the entire or part of the earth's surface (including the atmosphere) space with the support of computer hardware and software systems. At the same time, most off-grid water treatment equipment uses microbial methods and needs to create a microenvironment to carry out water treatment work, resulting in the need for diversified adjustment of the operating parameters of each device, and the difficulty of equipment operation and management is relatively high. At present, the setting parameters of off-grid water treatment equipment cannot be dynamically adjusted.

[0003] In view of the above problems, effective technical solutions are urgently needed. Summary of the invention

[0004] The purpose of this application is to provide a GIS-based off-grid water treatment equipment control method, equipment and medium, which can realize intelligent control of off-grid water treatment equipment through comparison of water treatment time points, calculation and threshold comparison of environmental assessment index and water quality treatment deviation rate.

[0005] The present application also provides a GIS-based off-grid water treatment equipment control method, comprising the following steps: Obtain geographic coordinate information and real-time water treatment time point data of off-grid water treatment equipment, extract environmental characteristic data based on the geographic coordinate information, process the environmental characteristic data, and obtain an environmental assessment index; According to the environmental assessment index, query the preset water treatment process parameter database to obtain the historical water treatment process parameters of each node equipment of the adapted water treatment and the corresponding historical water treatment time point data and historical water quality treatment deviation rate; The real-time water treatment time point data is processed in combination with the historical water treatment time point data and the historical water quality treatment deviation rate to obtain the real-time water treatment process parameters of each water treatment node equipment; Controlling the off-grid water treatment equipment to perform water treatment according to the real-time water treatment process parameters, obtaining the effluent water quality parameter data corresponding to each node device of the water treatment, and processing the data to obtain the water quality treatment deviation rate corresponding to each node device of the water treatment; The water quality treatment deviation rate is compared with the corresponding preset water quality treatment deviation rate threshold, and the real-time water treatment process parameters of each water treatment node equipment are adjusted according to the comparison result.

[0006] Optionally, in the GIS-based off-grid water treatment equipment control method described in the present application, the acquiring of geographic coordinate information and real-time water treatment time point data of the off-grid water treatment equipment, extracting environmental characteristic data according to the geographic coordinate information, and processing the environmental characteristic data to obtain an environmental evaluation index includes: Obtain geographic coordinate information and real-time water treatment time point data of off-grid water treatment equipment; Extract environmental characteristic data based on geographic coordinate information, including altitude data, precipitation level data, light intensity data and ambient temperature value data; The altitude data, precipitation level data, light intensity data and ambient temperature value data are input into a preset environmental index evaluation model for processing to obtain an environmental evaluation index.

[0007] Optionally, in the GIS-based off-grid water treatment equipment control method described in the present application, the real-time water treatment time point data is processed in combination with the historical water treatment time point data and the historical water quality treatment deviation rate to obtain the real-time water treatment process parameters of each water treatment node equipment, including: Comparing the real-time water treatment time point data with the historical water treatment time point data to obtain a treatment time deviation; Performing a threshold comparison of the processing time deviation with a preset processing time deviation threshold; If it is greater than a preset treatment time deviation threshold, the historical water treatment time point data and the corresponding historical water treatment process parameters are eliminated; If it is less than or equal to the preset treatment time deviation threshold, the historical water treatment time point data and the corresponding historical water quality treatment deviation rate are stored; Sort multiple historical water quality treatment deviation rates from small to large to obtain the minimum historical water quality treatment deviation rate; According to the minimum historical water quality treatment deviation rate, the historical water treatment process parameters of the corresponding water treatment node equipment are obtained as real-time water treatment process parameters.

[0008] Optionally, in the GIS-based off-grid water treatment equipment control method described in the present application, the off-grid water treatment equipment is controlled to perform water treatment according to the real-time water treatment process parameters, and the effluent water quality parameter data corresponding to each water treatment node device is obtained and processed to obtain the water quality treatment deviation rate corresponding to each water treatment node device, including: Controlling the off-grid water treatment equipment to perform water treatment according to the real-time water treatment process parameters, and obtaining effluent water quality parameter data corresponding to each node equipment of the water treatment, including oxygen demand data, ammonia nitrogen purification rate, pH value, heavy metal removal rate and microbial concentration data; The oxygen demand data, ammonia nitrogen purification rate, pH value, heavy metal removal rate and microbial concentration data are processed with the corresponding preset standard data respectively to obtain the oxygen demand deviation rate, ammonia nitrogen purification deviation rate, pH value deviation rate, heavy metal removal deviation rate and microbial concentration deviation rate corresponding to each node equipment of water treatment; According to the oxygen demand data, ammonia nitrogen purification rate, pH value, heavy metal removal rate and microbial concentration data, respectively query the preset weight value list to obtain the corresponding weight value; The oxygen demand deviation rate, ammonia nitrogen purification deviation rate, pH value deviation rate, heavy metal removal deviation rate and microbial concentration deviation rate are multiplied by the corresponding weight values ​​and accumulated to obtain the water quality treatment deviation rate corresponding to each water treatment node equipment.

[0009] Optionally, in the GIS-based off-grid water treatment equipment control method described in the present application, the water quality treatment deviation rate is compared with a corresponding preset water quality treatment deviation rate threshold, and the real-time water treatment process parameters of each water treatment node device are adjusted according to the comparison result, including: Performing a threshold comparison between the water quality treatment deviation rate and a corresponding preset water quality treatment deviation rate threshold; If it is less than or equal to the corresponding preset water quality treatment deviation rate threshold, no treatment will be performed; If it is greater than the corresponding preset water quality treatment deviation rate threshold, the real-time water treatment process parameters of the node device are adjusted according to the outlet water quality parameter data.

[0010] Optionally, the GIS-based off-grid water treatment equipment control method described in the present application further includes: Obtain the operating pressure data and operating temperature data of off-grid water treatment equipment; Inputting the operating pressure data and the operating temperature data into a preset equipment safety operation status assessment model for analysis and processing to obtain an equipment operation safety index; Comparing the equipment operation safety index with a preset standard equipment operation safety index to obtain a relative deviation of equipment operation safety; The relative safety deviation of the equipment operation is compared with a preset relative safety deviation level threshold of the equipment operation to obtain the equipment safety level.

[0011] Optionally, the GIS-based off-grid water treatment equipment control method described in the present application further includes: Obtain the network status information within the preset range of the off-grid water treatment equipment, and extract the network inlet and outlet water flow difference data and the network inlet and outlet water pressure difference data; Inputting the pipe network inlet and outlet water flow difference data and the pipe network inlet and outlet water pressure difference data into a preset pipe network blockage evaluation model for processing to obtain a pipe network blockage index; The pipe network congestion index is compared with a preset pipe network congestion threshold, and the pipe network operation status is determined according to the threshold comparison result.

[0012] Optionally, the GIS-based off-grid water treatment equipment control method described in the present application further includes: Get data on dissolved oxygen content in water; Obtain data on microbial density, vitality and growth stage in water; Inputting the dissolved oxygen content data and the microorganism density data, vitality data, and growth stage data into a preset aeration demand prediction model for processing to obtain an aeration demand; The aeration system operating parameters are determined according to the aeration demand.

[0013] In a second aspect, the present application provides a control device for an off-grid water treatment device based on GIS, which implements the off-grid water treatment device control method based on GIS, and the device includes: a sensor module, a communication module, a processing module, a control module and a GIS module; Wherein, the sensor module is used to collect operating parameters and water quality indicators of the off-grid water treatment equipment; The communication module is used to upload the collected data to the cloud server and receive the control instructions sent by the cloud server; A processing module is used to analyze and process the collected water quality indicators; A control module, used to control the water treatment equipment according to the received control instructions; GIS module, used to obtain the geographic location information of off-grid water treatment equipment.

[0014] In the third aspect, the present application also provides a computer-readable storage medium, which stores a GIS-based off-grid water treatment equipment control method program. When the GIS-based off-grid water treatment equipment control method program is executed by a processor, the steps of the GIS-based off-grid water treatment equipment control method as described in any one of the above items are implemented.

[0015] From the above, it can be seen that the GIS-based off-grid water treatment equipment control method, equipment and medium provided in this application realize intelligent control of off-grid water treatment equipment through comparison of water treatment time points, calculation and threshold comparison of environmental assessment index and water quality treatment deviation rate.

[0016] Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or understood by practicing the embodiments of the present application. The purpose and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the written description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 A flowchart of a GIS-based off-grid water treatment equipment control method provided in an embodiment of the present application; Figure 2 A flow chart of obtaining an environmental assessment index for a GIS-based off-grid water treatment equipment control method provided in an embodiment of the present application; Figure 3 A flow chart of obtaining the water quality treatment deviation rate corresponding to each water treatment node device of the GIS-based off-grid water treatment equipment control method provided in an embodiment of the present application. DETAILED DESCRIPTION

[0019] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0020] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0021] Please refer to Figure 1 , Figure 1The flowchart of the GIS-based off-grid water treatment equipment control method in some embodiments of the present application. The GIS-based off-grid water treatment equipment control method is used in terminal devices, such as computers, mobile phone terminals, etc. The GIS-based off-grid water treatment equipment control method includes the following steps: S11, obtaining geographic coordinate information and real-time water treatment time point data of the off-grid water treatment equipment, extracting environmental characteristic data according to the geographic coordinate information, processing the environmental characteristic data, and obtaining an environmental evaluation index; S12. According to the environmental assessment index, query the preset water treatment process parameter database to obtain the historical water treatment process parameters of each node equipment of the adapted water treatment and the corresponding historical water treatment time point data and historical water quality treatment deviation rate; S13, processing the real-time water treatment time point data in combination with the historical water treatment time point data and the historical water quality treatment deviation rate to obtain the real-time water treatment process parameters of each water treatment node equipment; S14, controlling the off-grid water treatment equipment to perform water treatment according to the real-time water treatment process parameters, obtaining the effluent water quality parameter data corresponding to each node device of the water treatment, and processing the data to obtain the water quality treatment deviation rate corresponding to each node device of the water treatment; S15, comparing the water quality treatment deviation rate with a corresponding preset water quality treatment deviation rate threshold, and adjusting the real-time water treatment process parameters of each water treatment node device according to the comparison result.

[0022] It should be noted that in order to realize the control of off-grid water treatment equipment, firstly, the real-time water treatment time point data and geographic coordinate information of the off-grid water treatment equipment are obtained through the GIS module, and the environmental characteristic data are extracted according to the geographic coordinate information and processed to obtain the environmental evaluation index. According to the environmental evaluation index, the preset water treatment process parameter database is queried to obtain the historical water treatment process parameters of each node equipment adapted to the water treatment, as well as the historical water treatment time point data and historical water quality treatment deviation rate of the process parameters, wherein the preset water treatment process parameter database is obtained based on the environmental evaluation index of a large number of historical data samples and the corresponding water treatment time point data and water quality treatment deviation rate analysis; then The acquired real-time water treatment time point data is compared with the historical water treatment time point data corresponding to the historical water treatment process parameters, and the historical water treatment process parameters and the corresponding water quality treatment deviation rate within the preset range of time deviation are obtained, and multiple water quality treatment deviation rates are sorted from small to large, and the corresponding historical water treatment process parameters with the smallest water quality treatment deviation rate are taken as the real-time water treatment process parameters to control the off-grid water treatment equipment for water treatment, and the effluent water quality parameter data corresponding to each node equipment of the water treatment is obtained through the sensor module, and the water quality treatment deviation rate corresponding to each node equipment of the water treatment is obtained after processing, and finally the real-time water treatment process parameters of each node equipment of the water treatment are adjusted according to the comparison results through the threshold comparison.

[0023] Please refer to Figure 2 , Figure 2 The flowchart of the GIS-based off-grid water treatment equipment control method for obtaining an environmental evaluation index in some embodiments of the present application is shown in FIG. According to an embodiment of the present invention, the geographic coordinate information and real-time water treatment time point data of the off-grid water treatment equipment are obtained, environmental feature data are extracted according to the geographic coordinate information, and the environmental feature data are processed to obtain an environmental evaluation index, including: S21, obtaining geographic coordinate information and real-time water treatment time point data of the off-grid water treatment equipment; S22, extracting environmental characteristic data according to geographic coordinate information, including altitude data, precipitation level data, light intensity data and ambient temperature value data; S23, inputting the altitude data, precipitation level data, light intensity data and ambient temperature value data into a preset environmental index evaluation model for processing to obtain an environmental evaluation index.

[0024] It should be noted that in order to determine the environmental conditions of the location of the off-grid water treatment equipment, the water treatment process parameters of the off-grid water treatment equipment under the same environment are collected as a reference according to the same environmental conditions, and the geographic coordinate information and real-time water treatment time point data of the off-grid water treatment equipment are obtained through the preset GIS module. According to the geographic coordinate information, environmental characteristic data including altitude data, precipitation level data, light intensity data and ambient temperature value data are extracted, and the altitude data, precipitation level data, light intensity data and ambient temperature value data are input into the preset environmental index evaluation model for processing to obtain the environmental evaluation index, wherein the environmental index evaluation model is obtained by obtaining a large number of historical samples of altitude data, precipitation level data, light intensity data and ambient temperature value data and corresponding environmental evaluation index training.

[0025] According to an embodiment of the present invention, the real-time water treatment time point data is processed in combination with the historical water treatment time point data and the historical water quality treatment deviation rate to obtain the real-time water treatment process parameters of each water treatment node device, including: Comparing the real-time water treatment time point data with the historical water treatment time point data to obtain a treatment time deviation; Performing a threshold comparison of the processing time deviation with a preset processing time deviation threshold; If it is greater than a preset treatment time deviation threshold, the historical water treatment time point data and the corresponding historical water treatment process parameters are eliminated; If it is less than or equal to the preset treatment time deviation threshold, the historical water treatment time point data and the corresponding historical water quality treatment deviation rate are stored; Sort multiple historical water quality treatment deviation rates from small to large to obtain the minimum historical water quality treatment deviation rate; According to the minimum historical water quality treatment deviation rate, the historical water treatment process parameters of the corresponding water treatment node equipment are obtained as real-time water treatment process parameters.

[0026] It should be noted that in order to obtain the real-time water treatment process parameters that are suitable for each node of the off-grid water treatment equipment, the historical water treatment time point data is first compared with the real-time water treatment time point data to obtain the processing time deviation. For example, the historical water treatment time point data is September 10, and the real-time water treatment time point data is September 20, then the processing time deviation is 10 days. The processing time deviation is compared with the preset processing time deviation threshold. In this embodiment, the preset processing time deviation threshold is set to 5 days. If it is greater than the preset processing time deviation threshold, it means that the historical water treatment process parameters corresponding to the time point are not suitable, and the historical water treatment is discarded. time point data and the corresponding historical water treatment process parameters; if it is less than or equal to the preset processing time deviation threshold, it means that the historical water treatment process parameters corresponding to the time point are adapted, then the historical water treatment time point data and the corresponding historical water quality treatment deviation rate are stored; for example, if the obtained processing time deviation is 10 days, the historical water treatment time point data and the corresponding historical water treatment process parameters are eliminated; the saved multiple historical water quality treatment deviation rates are sorted from small to large to obtain the smallest historical water quality treatment deviation rate, and the historical water treatment process parameters of each water treatment node equipment corresponding to the historical water quality treatment deviation rate are used as real-time water treatment process parameters.

[0027] Please refer to Figure 3 , Figure 3 The present invention is a flowchart of obtaining the water quality treatment deviation rate corresponding to each water treatment node device of the GIS-based off-grid water treatment equipment control method in some embodiments of the present application. According to an embodiment of the present invention, the off-grid water treatment equipment is controlled to perform water treatment according to the real-time water treatment process parameters, and the effluent water quality parameter data corresponding to each water treatment node device is obtained and processed to obtain the water quality treatment deviation rate corresponding to each water treatment node device, including: S31, controlling the off-grid water treatment equipment to perform water treatment according to the real-time water treatment process parameters, and obtaining effluent water quality parameter data corresponding to each node equipment of the water treatment, including oxygen demand data, ammonia nitrogen purification rate, pH value, heavy metal removal rate and microbial concentration data; S32, respectively processing the oxygen demand data, ammonia nitrogen purification rate, pH value, heavy metal removal rate and microbial concentration data with the corresponding preset standard data to obtain the oxygen demand deviation rate, ammonia nitrogen purification deviation rate, pH value deviation rate, heavy metal removal deviation rate and microbial concentration deviation rate corresponding to each node equipment of water treatment; S33, querying the preset weight value list according to the oxygen demand data, ammonia nitrogen purification rate, pH value, heavy metal removal rate and microbial concentration data to obtain corresponding weight values; S34. Multiply the oxygen demand deviation rate, ammonia nitrogen purification deviation rate, pH value deviation rate, heavy metal removal deviation rate and microbial concentration deviation rate by the corresponding weight values ​​and add them up to obtain the water quality treatment deviation rate corresponding to each water treatment node equipment.

[0028] It should be noted that the off-grid water treatment equipment is controlled to perform water treatment according to the adapted real-time water treatment process parameters, and the effluent water quality parameter data corresponding to each node device of the water treatment are obtained based on the preset sensor module and the processing module, including oxygen demand data, ammonia nitrogen purification rate, pH value, heavy metal removal rate and microbial concentration data, and the erroneous values ​​are eliminated, wherein the ammonia nitrogen purification rate refers to the ratio of the ammonia nitrogen content of the inlet water quality of the node device minus the ammonia nitrogen content of the effluent water quality to the ammonia nitrogen content of the inlet water quality, and the heavy metal removal rate refers to the ratio of the heavy metal content of the inlet water quality of the node device minus the heavy metal content of the effluent water quality to the heavy metal content of the inlet water quality; the corresponding preset standard data are processed respectively to obtain the oxygen demand deviation rate, ammonia nitrogen purification deviation rate, pH value deviation rate, heavy metal removal deviation rate and microbial concentration deviation rate corresponding to each node device of the water treatment; for example, the ammonia nitrogen purification rate is 0.6, and the preset standard ammonia nitrogen purification rate is 0.8, then That is, the ammonia nitrogen purification deviation rate of the node; then, according to the obtained oxygen demand data, ammonia nitrogen purification rate, pH value, heavy metal removal rate and microbial concentration data, the preset weight value list is queried to obtain the corresponding weight value, and the corresponding weight value is obtained, wherein the preset weight value list is obtained by querying the off-grid water treatment equipment control platform; finally, the oxygen demand deviation rate, ammonia nitrogen purification deviation rate, pH value deviation rate, heavy metal removal deviation rate and microbial concentration deviation rate are multiplied by the corresponding weight value and accumulated to obtain the water quality treatment corresponding to each node equipment of water treatment. For example, the oxygen demand deviation rate, ammonia nitrogen purification deviation rate, pH value deviation rate, heavy metal removal deviation rate and microbial concentration deviation rate are 0.2, 0.25, 0.1, 0.22 and 0.15 respectively, and the corresponding weight values ​​are 0.1, 0.3, 0.2, 0.3 and 0.1 respectively, and the sum of the weight values ​​is 1; then 0.2*0.1+0.25*0.3+0.1*0.2+0.22*0.3+0.15*0.1=0.196 is the water quality treatment deviation rate corresponding to the water treatment node equipment.

[0029] According to an embodiment of the present invention, the water quality treatment deviation rate is compared with a corresponding preset water quality treatment deviation rate threshold, and the real-time water treatment process parameters of each water treatment node device are adjusted according to the comparison result, including: Performing a threshold comparison between the water quality treatment deviation rate and a corresponding preset water quality treatment deviation rate threshold; If it is less than or equal to the corresponding preset water quality treatment deviation rate threshold, no treatment will be performed; If it is greater than the corresponding preset water quality treatment deviation rate threshold, the real-time water treatment process parameters of the node device are adjusted according to the outlet water quality parameter data.

[0030] It should be noted that the water quality treatment deviation rate is compared with the corresponding preset water quality treatment deviation rate threshold. In this embodiment, the preset water quality treatment deviation rate threshold is set to (0, 0.3] and (0.3, 1], respectively corresponding to no treatment and adjusting the real-time water treatment process parameters of the node device according to the effluent water quality parameter data; for example, the obtained water quality treatment deviation rate is 0.4, indicating that the real-time water treatment process parameters used are not suitable, and it is necessary to determine the abnormal parameters according to the effluent water quality parameter data and adjust the corresponding real-time water treatment process parameters.

[0031] According to an embodiment of the present invention, it also includes: Obtain the operating pressure data and operating temperature data of off-grid water treatment equipment; Inputting the operating pressure data and the operating temperature data into a preset equipment safety operation status assessment model for analysis and processing to obtain an equipment operation safety index; Comparing the equipment operation safety index with a preset standard equipment operation safety index to obtain a relative deviation of equipment operation safety; The relative safety deviation of the equipment operation is compared with a preset relative safety deviation level threshold of the equipment operation to obtain the equipment safety level.

[0032] It should be noted that as the equipment operation time and usage frequency accumulate, equipment safety needs to be paid special attention. In order to obtain the equipment operation safety index, the operating pressure data and operating temperature data of the off-grid water treatment equipment are first obtained through the sensor module, and the data are input into the preset equipment safety operation status evaluation model for analysis and processing to obtain the equipment operation safety index. The equipment safety operation status evaluation model is obtained by obtaining a large number of historical samples of operating pressure data, operating temperature data and corresponding equipment operation safety index training, and the equipment operation safety index is compared with the preset standard equipment operation safety index to obtain the relative deviation of equipment operation safety. For example, the equipment operation safety obtained The total index is 70, and the preset standard equipment operation safety index is 100, then 70 / 100=0.7 is the relative deviation of equipment operation safety, and then the threshold is compared with the preset equipment operation safety relative deviation level threshold. In this embodiment, the preset equipment operation safety relative deviation level threshold is set to (0, 0.7), [0.7, 0.9), [0.9, 1], corresponding to level 1 safety, level 2 safety, and level 3 safety, among which level 3 safety level is the lowest, that is, the equipment has the highest degree of danger. For example, the obtained relative deviation of equipment operation safety is 0.7, which corresponds to level 2 safety. Finally, the response plan is determined according to the safety level, including but not limited to shutdown inspection and adjustment of operating parameters.

[0033] According to an embodiment of the present invention, it also includes: Obtain the network status information within the preset range of the off-grid water treatment equipment, and extract the network inlet and outlet water flow difference data and the network inlet and outlet water pressure difference data; Inputting the pipe network inlet and outlet water flow difference data and the pipe network inlet and outlet water pressure difference data into a preset pipe network blockage evaluation model for processing to obtain a pipe network blockage index; The pipe network congestion index is compared with a preset pipe network congestion threshold, and the pipe network operation status is determined according to the threshold comparison result.

[0034] It should be noted that whether the water intake channel of the off-grid water treatment equipment is unobstructed determines the water intake volume and treatment efficiency. Therefore, it is necessary to understand the status of the pipeline network, obtain the pipeline network inlet and outlet water flow difference data and the pipeline network inlet and outlet water pressure difference data through the sensor module, input the pipeline network inlet and outlet water flow difference data and the pipeline network inlet and outlet water pressure difference data into the preset pipeline network blockage evaluation model for processing, and obtain the pipeline network blockage index, wherein the preset pipeline network blockage evaluation model is obtained by obtaining a large number of historical samples of pipeline network inlet and outlet water flow difference data and pipeline network inlet and outlet water pressure difference data and corresponding pipeline network blockage index training, and finally the pipeline network blockage index is compared with the preset pipeline network blockage threshold, and the pipeline network operation status is determined according to the threshold comparison result. In this embodiment, the pipeline network blockage threshold is set to (0, 0.6), [0.6, 0.8), [0.8, 1], corresponding to the first level blockage, the second level blockage, and the third level blockage, wherein the third level blockage is the most serious. For example, if the obtained pipeline network blockage index is 0.7, it corresponds to the second level blockage, and the treatment plan is output, including but not limited to adjusting the water supply pressure and manual dredging.

[0035] According to an embodiment of the present invention, it also includes: Get data on dissolved oxygen content in water; Obtain data on microbial density, vitality and growth stage in water; Inputting the dissolved oxygen content data and the microorganism density data, vitality data, and growth stage data into a preset aeration demand prediction model for processing to obtain an aeration demand; The aeration system operating parameters are determined according to the aeration demand.

[0036] It should be noted that most off-grid water treatment equipment uses microbial methods. The dissolved oxygen content in the water determines the growth and metabolism of aerobic microorganisms. Therefore, in order to ensure the activity of microorganisms, it is necessary to understand the dissolved oxygen content in the water. First, the dissolved oxygen content data in the water is obtained through the sensor module and the processing module, and then the microbial density data, activity data and growth stage data in the water are obtained through sampling and processing. The data is input into the preset aeration volume demand prediction model for processing to obtain the aeration demand. The preset aeration volume demand prediction model is obtained by obtaining the microbial density data, activity data and growth stage data of a large number of historical samples and the corresponding aeration demand training. Finally, the aeration system operating parameters are determined according to the aeration demand.

[0037] It is worth mentioning that according to an embodiment of the present invention, it also includes: Obtain personnel change data and enterprise increase and decrease data within the preset range of the off-grid water treatment equipment, and process to obtain predicted water inflow flow data; Obtain the rated treatment flow data of off-grid water treatment equipment; The predicted water inflow flow data and the rated treatment flow data are input into a preset water treatment capacity evaluation model for processing to obtain a water treatment capacity evaluation index; Performing a threshold comparison between the water treatment capacity assessment index and a preset water treatment capacity assessment threshold; If it is less than or equal to the preset water treatment capacity assessment threshold, the backup equipment is turned on; If it is greater than the preset water treatment capacity assessment threshold, the backup equipment will not be turned on.

[0038] It should be noted that the personnel and enterprises within the radiation range of the off-grid water treatment equipment may change at any time, and the corresponding wastewater quantity and quality are also different. The processing capacity demand of the equipment is dynamically changing. In order to obtain the water treatment capacity evaluation index, the personnel change data and enterprise increase and decrease data within the preset range of the off-grid water treatment equipment are obtained through the off-grid water treatment equipment control platform, and the predicted water inlet flow data is obtained, and then the rated processing flow data of the off-grid water treatment equipment is obtained. According to the predicted water inlet flow data and the rated processing flow data, the preset water treatment capacity evaluation model is input for processing to obtain the water treatment capacity evaluation index, in which the water treatment The capacity assessment model is obtained by obtaining a large number of historical samples of predicted water inflow flow data and rated processing flow data, that is, training the corresponding water treatment capacity assessment index, and comparing the water treatment capacity assessment index with the preset water treatment capacity assessment threshold. In this embodiment, the water treatment capacity assessment threshold is set to (0, 0.8], (0.8, 1], corresponding to insufficient water treatment capacity and sufficient water treatment capacity. For example, if the obtained water treatment capacity assessment index is 0.7, the water treatment capacity is insufficient, and the backup equipment is turned on. If the obtained water treatment capacity assessment index is 0.9, the water treatment capacity is sufficient, and the backup equipment is not turned on.

[0039] The present invention also discloses a control device for an off-grid water treatment device based on GIS, and implements the off-grid water treatment device control method based on GIS. The device includes: a sensor module, a communication module, a processing module, a control module and a GIS module; Wherein, the sensor module is used to collect operating parameters and water quality indicators of the off-grid water treatment equipment; The communication module is used to upload the collected data to the cloud server and receive the control instructions sent by the cloud server; A processing module is used to analyze and process the collected water quality indicators; A control module, used to control the water treatment equipment according to the received control instructions; GIS module, used to obtain the geographic location information of off-grid water treatment equipment.

[0040] A third aspect of the present invention provides a readable storage medium, which stores a GIS-based off-grid water treatment equipment control method program. When the GIS-based off-grid water treatment equipment control method program is executed by a processor, the steps of the GIS-based off-grid water treatment equipment control method as described in any one of the above items are implemented.

[0041] The GIS-based off-grid water treatment equipment control method, equipment and medium disclosed in the present invention realize intelligent control of the off-grid water treatment equipment by comparing water treatment time points, calculating environmental assessment indexes and water quality treatment deviation rates and comparing thresholds.

[0042] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0043] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0044] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0045] Those skilled in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, the aforementioned program can be stored in a readable storage medium, and when the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), disks or optical disks, and other media that can store program codes.

[0046] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. A GIS-based off-grid water treatment equipment control method, characterized in that: The following steps are involved: Obtain geographic coordinate information and real-time water treatment time point data of off-grid water treatment equipment, extract environmental characteristic data based on the geographic coordinate information, process the environmental characteristic data, and obtain an environmental assessment index; According to the environmental assessment index, query the preset water treatment process parameter database to obtain the historical water treatment process parameters of each node equipment of the adapted water treatment and the corresponding historical water treatment time point data and historical water quality treatment deviation rate; The real-time water treatment time point data is processed in combination with the historical water treatment time point data and the historical water quality treatment deviation rate to obtain the real-time water treatment process parameters of each water treatment node equipment; Controlling the off-grid water treatment equipment to perform water treatment according to the real-time water treatment process parameters, obtaining the effluent water quality parameter data corresponding to each node device of the water treatment, and processing the data to obtain the water quality treatment deviation rate corresponding to each node device of the water treatment; The water quality treatment deviation rate is compared with the corresponding preset water quality treatment deviation rate threshold, and the real-time water treatment process parameters of each water treatment node equipment are adjusted according to the comparison result.

2. The GIS-based off-grid water treatment equipment control method according to claim 1, characterized in that: The method of obtaining geographic coordinate information and real-time water treatment time point data of the off-grid water treatment equipment, extracting environmental characteristic data according to the geographic coordinate information, and processing the environmental characteristic data to obtain an environmental evaluation index includes: Obtain geographic coordinate information and real-time water treatment time point data of off-grid water treatment equipment; Extract environmental characteristic data based on geographic coordinate information, including altitude data, precipitation level data, light intensity data and ambient temperature value data; The altitude data, precipitation level data, light intensity data and ambient temperature value data are input into a preset environmental index evaluation model for processing to obtain an environmental evaluation index.

3. The GIS-based off-grid water treatment equipment control method according to claim 2, characterized in that: The real-time water treatment time point data is processed in combination with the historical water treatment time point data and the historical water quality treatment deviation rate to obtain the real-time water treatment process parameters of each water treatment node equipment, including: Comparing the real-time water treatment time point data with the historical water treatment time point data to obtain a treatment time deviation; Performing a threshold comparison of the processing time deviation with a preset processing time deviation threshold; If it is greater than a preset treatment time deviation threshold, the historical water treatment time point data and the corresponding historical water treatment process parameters are eliminated; If it is less than or equal to the preset treatment time deviation threshold, the historical water treatment time point data and the corresponding historical water quality treatment deviation rate are stored; Sort multiple historical water quality treatment deviation rates from small to large to obtain the minimum historical water quality treatment deviation rate; According to the minimum historical water quality treatment deviation rate, the historical water treatment process parameters of the corresponding water treatment node equipment are obtained as real-time water treatment process parameters.

4. The GIS-based off-grid water treatment equipment control method according to claim 3, characterized in that: The off-grid water treatment equipment is controlled to perform water treatment according to the real-time water treatment process parameters, and the effluent water quality parameter data corresponding to each node device of the water treatment is obtained and processed to obtain the water quality treatment deviation rate corresponding to each node device of the water treatment, including: Controlling the off-grid water treatment equipment to perform water treatment according to the real-time water treatment process parameters, and obtaining effluent water quality parameter data corresponding to each node equipment of the water treatment, including oxygen demand data, ammonia nitrogen purification rate, pH value, heavy metal removal rate and microbial concentration data; The oxygen demand data, ammonia nitrogen purification rate, pH value, heavy metal removal rate and microbial concentration data are processed with the corresponding preset standard data respectively to obtain the oxygen demand deviation rate, ammonia nitrogen purification deviation rate, pH value deviation rate, heavy metal removal deviation rate and microbial concentration deviation rate corresponding to each node equipment of water treatment; According to the oxygen demand data, ammonia nitrogen purification rate, pH value, heavy metal removal rate and microbial concentration data, respectively query the preset weight value list to obtain the corresponding weight value; The oxygen demand deviation rate, ammonia nitrogen purification deviation rate, pH value deviation rate, heavy metal removal deviation rate and microbial concentration deviation rate are multiplied by the corresponding weight values ​​and accumulated to obtain the water quality treatment deviation rate corresponding to each water treatment node equipment.

5. The GIS-based off-grid water treatment equipment control method according to claim 4, characterized in that: The step of comparing the water quality treatment deviation rate with a corresponding preset water quality treatment deviation rate threshold, and adjusting the real-time water treatment process parameters of each water treatment node device according to the comparison result, includes: Performing a threshold comparison between the water quality treatment deviation rate and a corresponding preset water quality treatment deviation rate threshold; If it is less than or equal to the corresponding preset water quality treatment deviation rate threshold, no treatment will be performed; If it is greater than the corresponding preset water quality treatment deviation rate threshold, the real-time water treatment process parameters of the node device are adjusted according to the outlet water quality parameter data.

6. The GIS-based off-grid water treatment equipment control method according to claim 5, characterized in that: Also includes: Obtain the operating pressure data and operating temperature data of off-grid water treatment equipment; Inputting the operating pressure data and the operating temperature data into a preset equipment safety operation status assessment model for analysis and processing to obtain an equipment operation safety index; Comparing the equipment operation safety index with a preset standard equipment operation safety index to obtain a relative deviation of equipment operation safety; The relative safety deviation of the equipment operation is compared with a preset relative safety deviation level threshold of the equipment operation to obtain the equipment safety level.

7. The GIS-based off-grid water treatment equipment control method according to claim 6, characterized in that: Also includes: Obtain the network status information within the preset range of the off-grid water treatment equipment, and extract the network inlet and outlet water flow difference data and the network inlet and outlet water pressure difference data; Inputting the pipe network inlet and outlet water flow difference data and the pipe network inlet and outlet water pressure difference data into a preset pipe network blockage evaluation model for processing to obtain a pipe network blockage index; The pipe network congestion index is compared with a preset pipe network congestion threshold, and the pipe network operation status is determined according to the threshold comparison result.

8. The GIS-based off-grid water treatment equipment control method according to claim 7, characterized in that: Also includes: Get data on dissolved oxygen content in water; Obtain data on microbial density, vitality and growth stage in water; Inputting the dissolved oxygen content data and the microorganism density data, vitality data, and growth stage data into a preset aeration demand prediction model for processing to obtain an aeration demand; The aeration system operating parameters are determined according to the aeration demand.

9. A control device for an off-grid water treatment device based on GIS, which implements the control method for an off-grid water treatment device based on GIS, and the device comprises: Sensor module, communication module, processing module, control module and GIS module; Wherein, the sensor module is used to collect operating parameters and water quality indicators of the off-grid water treatment equipment; The communication module is used to upload the collected data to the cloud server and receive the control instructions sent by the cloud server; A processing module is used to analyze and process the collected water quality indicators; A control module, used to control the water treatment equipment according to the received control instructions; GIS module, used to obtain the geographic location information of off-grid water treatment equipment.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a GIS-based off-grid water treatment equipment control program. When the GIS-based off-grid water treatment equipment control program is executed by the processor, the steps of the GIS-based off-grid water treatment equipment control method as described in any one of claims 1 to 8 are implemented.

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