Industrial equipment monitoring management system and method based on cloud management platform

Abstract

The invention discloses an industrial equipment monitoring management system and method based on a cloud management platform, and relates to the technical field of industrial equipment.The industrial equipment monitoring management system comprises a wastewater treatment equipment monitoring module, a wastewater treatment equipment prediction module, a wastewater treatment equipment mode confirmation module, a management terminal and a data warehouse; according to the invention, monitoring parameters and wastewater pollution indexes of a plurality of wastewater treatment devices in an industrial park are predicted, and a pollutant index set is accurately predicted; the method provides solid data support for correction of monitoring frequency or data acquisition time interval of related sensors of a pollution index set during subsequent real-time monitoring of current production of an industrial park, reduces data redundancy, and improves data monitoring processing efficiency. While the treatment effect of the wastewater treatment equipment is guaranteed and the service life of the wastewater treatment equipment is maintained, the resource consumption of the wastewater treatment equipment is reduced, the phenomenon of excessive treatment is avoided, and the resource waste is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of industrial equipment, and in particular to an industrial equipment monitoring and management system and method based on a cloud management platform. Background Art

[0002] As a core component of industrial production, industrial equipment often features complex structures and a high degree of automation. Its stable operation is directly related to the efficiency and profitability of the entire production line. Real-time monitoring of industrial equipment can promptly identify potential equipment failures. With the deepening of environmental protection and sustainable development concepts, the effectiveness of wastewater treatment equipment has received widespread attention. The direct discharge of untreated or substandard wastewater can cause serious pollution to the aquatic environment. Harmful substances in wastewater can damage aquatic ecosystems and affect the quality and availability of water resources. Therefore, monitoring and management of wastewater treatment equipment is extremely necessary.

[0003] Existing technology, such as the invention patent application with announcement number CN109336199B, discloses a real-time monitoring method and system for sewage treatment. The method includes: obtaining geographic location information, sewage pipeline information, sewage treatment equipment parameters, and real-time data of each sewage treatment station; classifying, storing, and displaying the real-time data of sewage treatment equipment at each sewage treatment station; determining the production and operation status based on the sewage flow and / or production and operation data of the sewage treatment equipment; determining the equipment maintenance status based on the sewage treatment equipment parameters and production and operation plan data of the sewage treatment equipment at the sewage treatment station; determining the equipment maintenance method for the sewage treatment equipment based on the production and operation status and / or equipment maintenance status; and displaying the production and operation status, equipment maintenance status, and determined equipment maintenance method for the sewage treatment equipment at each sewage treatment station. This invention enables effective monitoring of the production and treatment processes of sewage treatment stations and timely maintenance of faulty equipment, thereby improving the efficiency of sewage treatment monitoring.

[0004] Prior art, such as the invention patent application with announcement number CN118505435B, discloses an intelligent sewage treatment method and system, which relates to the field of sewage treatment technology, including dividing sewage treatment areas, collecting sewage treatment data from each area, and analyzing and predicting water quality data; preliminarily adjusting sewage treatment parameters in each area based on the analysis results, and automatically adjusting sewage treatment parameters in the area to be optimized based on the comparison results of sewage treatment performance in different areas after the preliminary adjustment. The present invention divides different areas to collect sewage treatment data and analyzes and predicts water quality data, formulates preliminary adjustment measures based on the results, and further adjusts sewage treatment measures based on the comparison results of sewage treatment data in the standard area and the area to be optimized, collects energy generated during the sewage treatment process in real time, and self-supplies energy for sewage treatment equipment, thereby achieving dynamic optimization of the sewage treatment process, improving sewage treatment efficiency and energy utilization efficiency, reducing operating costs of the sewage treatment process, and reducing environmental pollution.

[0005] Combining the above schemes, it can be found that there is little prior production information and expected production information for industrial parks in the existing technology, and the monitoring parameters and pollutant indicators of wastewater treatment equipment are rarely predicted. It is difficult to correct the monitoring frequency or data acquisition time interval of the relevant sensors of the pollution indicator set when conducting real-time monitoring of the current production of the industrial park, which increases data redundancy and reduces the efficiency of data monitoring and processing. At the same time, there is also little regulation of the operating mode of the wastewater treatment equipment. On the one hand, it is difficult to ensure the treatment efficiency of the wastewater treatment equipment while saving the resource consumption of the wastewater treatment equipment. Over-treatment is prone to occur, resulting in waste of resources. On the other hand, it also ignores whether the wastewater treatment equipment's own conditions and treatment capacity can match the treatment of wastewater generated in the production workshops in the industrial park, affecting the life of the equipment while also reducing the wastewater treatment effect. Summary of the Invention

[0006] The purpose of the present invention is to provide an industrial equipment monitoring and management system and method based on a cloud management platform, which solves the problems existing in the background technology.

[0007] In order to solve the above technical problems, the present invention adopts the following technical solutions: The first aspect of the present invention provides an industrial equipment monitoring and management system based on a cloud management platform, including: a wastewater treatment equipment monitoring module, which adopts sensor fusion technology to monitor the routine operation data and processing data of several wastewater treatment equipment in the industrial park, and generates a set of routine operation data and a set of processing data of several wastewater treatment equipment in the industrial park under time series characteristics and uploads them to the cloud management platform.

[0008] The wastewater treatment equipment prediction module obtains the prior production information and expected production information of the industrial park from the cloud management platform, predicts the monitoring parameters and wastewater pollution index of several wastewater treatment equipment in the industrial park, and uploads them to the cloud management platform.

[0009] The wastewater treatment equipment mode confirmation module determines the predicted operating mode of several wastewater treatment equipment in the industrial park based on the wastewater pollution index and regular operation data set and processing data set under the time series characteristics of several wastewater treatment equipment in the industrial park. The operating modes include regular mode, energy-saving mode, emergency mode and auxiliary mode.

[0010] The management terminal adjusts the operating mode of several wastewater treatment equipment in the industrial park to the predictive operating mode.

[0011] The second aspect of the present invention provides a method for executing the industrial equipment monitoring and management system described in the present invention, including: ST1, using sensor fusion technology to monitor the normal operation data and processing data of several wastewater treatment equipment in the industrial park, and generating a set of normal operation data and a set of processing data of several wastewater treatment equipment in the industrial park under time series characteristics and uploading them to the cloud management platform.

[0012] ST2. Predict the monitoring parameters and wastewater pollution index of several wastewater treatment equipment in the industrial park and upload them to the cloud management platform.

[0013] ST3. Determine the predicted operating modes of several wastewater treatment equipment in the industrial park, where the operating modes include a normal mode, an energy-saving mode, an emergency mode, and an auxiliary mode.

[0014] ST4. Adjust the operating mode of several wastewater treatment equipment in the industrial park to the predictive operating mode.

[0015] The beneficial effects of the present invention are: 1. The present invention predicts the monitoring parameters and wastewater pollution index of several wastewater treatment equipment in the industrial park based on the raw material set and pollutant water quality index set of each production workshop in the industrial park, combined with the expected raw material set of each production workshop in the industrial park through the wastewater treatment equipment prediction module set. After accurately predicting the pollutant index set, it provides solid data support for the subsequent real-time monitoring of the current production of the industrial park for the correction of the monitoring frequency or data acquisition time interval of the relevant sensors of the pollution index set, reduces data redundancy, and improves the efficiency of data monitoring and processing.

[0016] 2. The present invention uses a wastewater treatment equipment mode confirmation module, based on the regular operation data and treatment data of the wastewater treatment equipment, taking into account the predicted pollution index of the wastewater treatment equipment, and combining the wastewater treatment equipment's own conditions and treatment capacity to determine whether it can match the treatment of wastewater generated in production workshops in the industrial park. While ensuring the treatment effect of the wastewater treatment equipment and maintaining the life of the wastewater treatment equipment, it also saves resource consumption of the wastewater treatment equipment, avoids excessive treatment, and avoids waste of resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0018] Figure 1 This is a schematic diagram of the system structure connection of the present invention.

[0019] Figure 2 The figure is a schematic flow chart of the steps for implementing the method of the present invention. DETAILED DESCRIPTION

[0020] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0021] Reference Figure 1 As shown, the first aspect of the present invention provides an industrial equipment monitoring and management system based on a cloud management platform, including: a wastewater treatment equipment monitoring module, a wastewater treatment equipment prediction module, a wastewater treatment equipment mode confirmation module, a management terminal and a data warehouse.

[0022] It should be noted that the wastewater treatment equipment monitoring module and the wastewater treatment equipment prediction module are both connected to the wastewater treatment equipment mode confirmation module, the wastewater treatment equipment mode confirmation module is connected to the management terminal, and the data warehouse is respectively connected to the wastewater treatment equipment prediction module and the wastewater treatment equipment mode confirmation module.

[0023] The wastewater treatment equipment monitoring module adopts sensor fusion technology to monitor the routine operation data and processing data of several wastewater treatment equipment in the industrial park, and generates a set of routine operation data and a set of processing data of several wastewater treatment equipment in the industrial park under time series characteristics and uploads them to the cloud management platform.

[0024] It should be noted that the sensor fusion technology is used to monitor the routine operation data and processing data of several wastewater treatment equipment in the industrial park. Specific sensors include: image acquisition equipment, COD sensors, BOD sensors, SS sensors and other sensors equipped in the wastewater treatment equipment.

[0025] It should also be noted that the timing characteristics represent a processing cycle.

[0026] As a preferred solution, the routine operation data includes appearance images.

[0027] The processed data includes the pre-characteristic parameters and post-characteristic parameters of each polluted water quality index.

[0028] It should be noted that the pre-characteristic parameters and post-characteristic parameters of the various polluted water quality indicators include but are not limited to chemical oxygen demand, biochemical oxygen demand, suspended solids, pH and other polluted water quality parameters before and after treatment by the wastewater treatment equipment.

[0029] The wastewater treatment equipment prediction module obtains the prior production information and expected production information of the industrial park from the cloud management platform, predicts the monitoring parameters and wastewater pollution index of several wastewater treatment equipment in the industrial park, and uploads them to the cloud management platform.

[0030] It should be noted that the priori production information of the industrial park includes a set of raw materials used in each historical processing of several production workshops, a set of polluted water quality indicators and wastewater discharge.

[0031] It should be noted that the set of raw materials used in the prior production information of the industrial park can be obtained from the production plan table, and the set of polluted water quality indicators is specifically collected by arranging COD sensors, BOD sensors, SS sensors and other sensors at the drainage outlets of each production workshop, and the wastewater discharge can be monitored by a flow meter.

[0032] As a preferred solution, the monitoring parameters and wastewater pollution index of several wastewater treatment equipment in the industrial park are predicted, and the specific prediction method is: extracting the set of raw materials used and the set of polluted water quality indicators of each historical processing of several production workshops from the prior production information of the industrial park, and combining the expected production information of the industrial park to determine the set of predicted pollutant indicators of several production workshops in the industrial park, and predict the wastewater pollution index of several wastewater treatment equipment in the industrial park.

[0033] As a preferred solution, the predicted pollutant index set of several production workshops in the industrial park is determined by the following specific method: based on the set of raw materials used in each historical processing of each production workshop in the industrial park and the set of polluted water quality indicators, and extracting the expected set of raw materials used in each production workshop from the expected production information of the industrial park, first execute A1, if A1 feedback fails, then execute A2, the polluted water quality indicator set includes the characteristic parameters of each polluted water quality indicator.

[0034] It should be noted that the pollution water quality index of each historical processing of each production workshop in the industrial park refers to the set of pollution water quality indicators monitored from the drainage outlets of each production workshop.

[0035] A1. Comparative analysis is performed to obtain several reference historical processings of each production workshop in the industrial park, and each polluted water quality indicator in the polluted water quality indicator set of each reference historical processing of each production workshop in the industrial park is extracted. The corresponding reference historical processings of each polluted water quality indicator of each production workshop are mapped, and the corresponding reference historical processing quantities of each polluted water quality indicator of each production workshop and the total number of reference historical processings of each production workshop are summarized. The corresponding reference historical processing quantities of each polluted water quality indicator of each production workshop are divided by the total number of reference historical processings of each production workshop, and the frequencies of each polluted water quality indicator are obtained by processing. Several polluted water quality indicators with frequencies higher than or equal to the preset reference frequency are summarized into the predicted pollutant indicator set.

[0036] It should be noted that the comparison analysis obtains several reference historical processings of each production workshop in the industrial park. The specific comparison method is: map and match several data in the set of raw materials expected to be used by each production workshop in the industrial park with several data in the set of raw materials used in each historical processing. If both are matched successfully, the first matching value of the historical processing is recorded as 1, otherwise, it is recorded as -1. The mapping match is a one-to-one match.

[0037] Specifically, if the expected raw material set used in a production workshop in an industrial park is ,in 、 、 、 They are respectively expressed as the expected usage of type I raw materials, the expected usage of type II raw materials, the expected usage of type III raw materials, and the expected usage of type IV raw materials in the raw material set.

[0038] If the raw material set used in a certain historical processing of the production workshop in the industrial park is ,in 、 、 、 They are respectively represented as the usage of type I raw materials, type II raw materials, type III raw materials, and type IV raw materials in the raw material set. The expected raw material set of the production workshop is mapped one-to-one with the raw material set used in the historical processing, and 、 、 、 If the deviations of the two matching values are all less than the allowable deviations stored in the data warehouse, the first matching value of the historical processing is recorded as 1.

[0039] If the raw material set used in a certain historical processing of the production workshop in the industrial park is , the raw materials expected to be used in this production workshop do not exist If the mapping is , the first matching value of this historical processing is recorded as -1.

[0040] It should be noted again that the preset reference frequency is specifically the basis for measuring whether the polluted water quality indicators are included in the predicted pollutant indicator set. For example, in order to reduce the burden of data monitoring and analysis, the preset reference frequency is set higher, such as 0.7, which is specifically set by the industrial park management personnel.

[0041] A2. Build a database of relationships between pollutant index sets and raw material usage sets in the industrial park. Based on the expected raw material sets used by each production workshop in the industrial park, screen out the pollutant index sets of each production workshop in the industrial park as the predicted pollutant index sets of each production workshop in the industrial park.

[0042] It should be noted that the specific construction method of the database of relationships between the pollution indicator sets and the usage of various types of raw materials in the industrial park is as follows: based on the sets of raw materials used in each historical processing of each production workshop in the industrial park and the sets of polluted water quality indicators, the sets of raw materials used in each historical processing of each production workshop in the industrial park are mapped to obtain the sets of raw materials used, which are then summarized to obtain the sets of raw materials used corresponding to the sets of polluted water quality indicators in the industrial park. The maximum and minimum usage of each type of raw material are then selected to obtain the usage range of each type of raw material, which are then summarized into the sets of raw materials used corresponding to each set of pollutant indicators, and the sets of raw materials used corresponding to each set of pollutant indicators are then extracted.

[0043] When predicting the pollutant index set of several workshops in an industrial park, the present invention combines whether there is similarity between the current expected production information and the historical production. If there is no similar historical production, a relationship database of each pollution water quality index set and the raw material usage set of the industrial park is constructed. If there is similar historical production, since the historical materials used in the production workshops are similar, it means that the pollution water quality indicators generated historically can be used as the pollution water quality indicators of the current expected production information, the processing is more accurate, and the accuracy of the processing is improved.

[0044] As a preferred solution, the wastewater pollution index of several wastewater treatment equipment in the industrial park is predicted, and the specific prediction method is: extracting the characteristic parameters of each polluted water quality index from the set of polluted water quality indicators of each historical processing in each production workshop in the industrial park, and homogenizing them to obtain the characteristic parameters of each polluted water quality index after treatment.

[0045] It should be noted that the homogenization method adopts Min-Max standardization, such as selecting the maximum characteristic parameter and the minimum characteristic parameter of each polluted water quality indicator from the characteristic parameters of each historical processing of each production workshop in the industrial park as 1 and 0 respectively, and then homogenizing the characteristic parameters of each polluted water quality indicator of each historical processing of each production workshop in the industrial park. The processed characteristic parameters are at the same order of magnitude, avoiding excessive differences in the data value range that affect subsequent calculations.

[0046] The comprehensive pollution index method is adopted to calculate the wastewater pollution index of each historical processing in each production workshop in the industrial park.

[0047] It should be noted that the comprehensive pollution index method is specifically as follows: the weight factor corresponding to each pollution indicator is obtained from the data warehouse, the characteristic parameters of each pollution water quality indicator of each historical processing in each production workshop of the industrial park are divided by the standard value corresponding to each pollution indicator stored in the data warehouse, and the result of the division is multiplied by the corresponding weight factor and then accumulated to obtain the wastewater pollution index of each historical processing in each production workshop of the industrial park. The standard value corresponding to each pollution indicator is used to measure whether the pollution indicator meets the pollution standard. When the characteristic parameter corresponding to a pollution indicator exceeds the standard value, it means that the pollution indicator has reached the pollution standard, and the larger the characteristic parameter, the larger the pollution index, which is specifically determined by experts related to water pollution control.

[0048] It should also be noted that the corresponding weight factors of the pollution indicators specifically reflect the degree of harm of each pollution indicator to the environment and human health. The larger the weight factor, the greater the degree of harm of the pollution indicator to the environment and human health. The weight factor contains a value of 0-1, which is specifically determined by experts related to water pollution control.

[0049] Extract the wastewater discharge volume of each historical processing from the production data of each production workshop in the industrial park. Based on the expected raw material set used by each production workshop in the industrial park, combined with the raw material set used, wastewater discharge volume and wastewater pollution index of each historical processing of each production workshop in the industrial park, if A1 feedback is successful, execute B1, otherwise, execute B2.

[0050] B1. Based on several reference historical processing of each production workshop in the industrial park, the wastewater pollution index of each reference historical processing of each production workshop in the industrial park is extracted, and the average is processed to obtain the wastewater pollution index of each production workshop, and the wastewater discharge of each production workshop in the industrial park is obtained through similar processing.

[0051] B2. Build a database of relationships between wastewater pollution indices and raw material usage in the industrial park. Based on the expected raw material sets used by each production workshop in the industrial park, screen and obtain the wastewater pollution index of each production workshop in the industrial park, and obtain the wastewater discharge volume of each production workshop in the industrial park through similar treatment.

[0052] It should be noted that the method for constructing a relationship database between each wastewater pollution index and raw material usage set of an industrial park is specifically as follows: based on the raw material usage set and wastewater pollution index of each historical processing of each production workshop in the industrial park, the raw material usage set of each wastewater pollution index of the industrial park in each historical processing of each production workshop is mapped, and each wastewater pollution index is divided into intervals according to a preset step size, and then the raw material usage set of each interval in each historical processing of each production workshop is obtained, and the raw material usage sets corresponding to each interval of the industrial park are summarized, and the maximum and minimum usage of each type of raw material are selected to obtain the usage interval of each type of raw material, which are summarized into the raw material usage set corresponding to each interval, and the middle value of each interval is selected as the wastewater pollution index, thereby constructing the raw material usage set corresponding to each wastewater pollution index of the industrial park.

[0053] Obtain the corresponding related production workshops of several wastewater treatment equipment in the industrial park from the cloud management platform, map the corresponding related production workshops of several wastewater treatment equipment in the industrial park, obtain the wastewater pollution index and wastewater discharge of each wastewater treatment equipment in the industrial park corresponding to each related production workshop, and map the wastewater pollution index of each wastewater treatment equipment in the industrial park corresponding to each related production workshop. , wastewater discharge Import into wastewater pollution index correction model Output the wastewater pollution index of each wastewater treatment equipment in the industrial park , Indicates the number of each wastewater treatment equipment, , is any integer greater than 2, Indicates the number of each associated production workshop, , is any integer greater than 2.

[0054] It should be noted that the wastewater pollution index correction model adopts a weighted average method based on water quality and water quantity. It takes into account the water quality of wastewater from each production workshop, that is, the wastewater pollution index is used to reflect the comprehensive impact of various pollutants in the wastewater, and also takes into account the water quantity factor of wastewater from each production workshop. It recognizes that the different contributions of wastewater discharge from different workshops to the final wastewater pollution level, avoids the one-sidedness caused by focusing only on the single factor of water quality or water quantity, and can more comprehensively reflect the actual situation.

[0055] Obtain the associated production workshops corresponding to several wastewater treatment equipment in the industrial park from the cloud management platform. The associated production workshops corresponding to the several wastewater treatment equipment specifically reflect that the wastewater generated by the associated production workshops is treated by the wastewater treatment equipment. The predicted pollutant index sets and corresponding to the associated production workshops of the several wastewater treatment equipment in the industrial park are mapped out, and the predicted pollutant index sets and of the several wastewater treatment equipment in the industrial park are summarized and used as monitoring parameters for the several wastewater treatment equipment in the industrial park.

[0056] It should also be noted that the present invention is based on the raw material set and pollutant water quality index set of each production workshop in the industrial park, combined with the expected raw material set of each production workshop in the industrial park, to predict the monitoring parameters and wastewater pollution index of several wastewater treatment equipment in the industrial park, wherein the historical processing raw material set and pollutant water quality index set contain the usage of various raw materials in the past production process and the corresponding pollutant emission data, while taking into account the current production raw material set, it is possible to combine the current production actual situation with the historical data. By analyzing these historical data, it is possible to understand the types, quantities and emission patterns of pollutants generated by different raw materials during the processing process. For example, if historical data shows that a certain raw material will produce a higher concentration of a certain type of pollutant, then when the same raw material is used in the current production, the emission of the pollutant can be more accurately predicted. After accurately predicting the pollutant index set, it provides solid data support for the subsequent correction of the monitoring frequency or data acquisition time interval of the relevant sensors of the pollution index set when the current production of the industrial park is monitored in real time, reducing data redundancy and improving the efficiency of data monitoring and processing.

[0057] The wastewater treatment equipment mode confirmation module determines the predicted operating mode of several wastewater treatment equipment in the industrial park based on the wastewater pollution index and conventional operation data set and processing data set under the time series characteristics of several wastewater treatment equipment in the industrial park. The operating modes include conventional mode, energy-saving mode, emergency mode and auxiliary mode.

[0058] As a preferred solution, the predicted operating mode of several wastewater treatment equipment in the industrial park is determined by the following specific method: based on the conventional operating data set and treatment data set of several wastewater treatment equipment in the industrial park under time series characteristics, the treatment efficiency indicator factors of several wastewater treatment equipment in the industrial park are evaluated.

[0059] As a preferred solution, the treatment efficiency indicator factors of several wastewater treatment equipment in the industrial park are evaluated by a specific evaluation method: the appearance image of each time series feature is extracted from a set of regular operation data of several wastewater treatment equipment in the industrial park under time series features, and the first treatment efficiency indicator factor of several wastewater treatment equipment in the industrial park is obtained through data processing.

[0060] As a preferred solution, the first treatment efficiency indicator factor of several wastewater treatment equipment in the industrial park is specifically processed as follows: based on the appearance images of several wastewater treatment equipment in the industrial park at various time series characteristics, the defect data of several wastewater treatment equipment in the industrial park at various time series characteristics are obtained through image recognition technology, and the defect data includes several defect types.

[0061] Obtain the risk factor corresponding to each defect type from the data warehouse. The risk factor includes a value of 0-1. Filter the risk factors of several defect types of several wastewater treatment equipment in the industrial park in each time series feature, and perform average processing on them to obtain the overall risk factor of several wastewater treatment equipment. , the first treatment efficiency index factor of several wastewater treatment equipment in the industrial park is obtained by processing , It is the first treatment efficiency indicator factor of several wastewater treatment equipment in the industrial park.

[0062] It should be noted that the risk factors corresponding to the various defect types specifically reflect the impact of the defect type on the use of the wastewater treatment equipment. The larger the risk factor, the greater the impact of the defect type on the use of the wastewater treatment equipment. For example, the defect types are deformation, breakage, corrosion, and water leakage. Among them, breakage may directly lead to the destruction of the structural integrity of the equipment, making the equipment unable to operate normally, which has a greater impact. Water leakage will cause liquid loss during the treatment process, affecting the continuity of the treatment process, and may also cause the equipment to be partially soaked in water, causing damage to other components, which has a greater impact. Deformation may change the internal space structure of the equipment, affecting the material flow or treatment effect, but generally will not immediately stop the equipment from running, and the impact is relatively small. Corrosion is a gradual process, and the degree of impact is slightly greater than that of deformation. Specifically, the risk factors corresponding to breakage, water leakage, corrosion, and deformation can be set to 0.9, 0.9, 0.5, and 0.2, and the specific settings are made by wastewater treatment equipment experts.

[0063] The pre-characteristic parameters, post-characteristic parameters and characteristic parameters of each polluted water quality index of each time series feature are extracted from the treatment data set of several wastewater treatment equipment in the industrial park under time series characteristics, and then the characteristic parameters of each operation index are homogenized and imported into the second treatment efficiency indicator factor model.

[0064] The second treatment efficacy indicator factor model is specifically:

[0065] ,

[0066] in 、 are the pre-characteristic parameters and post-characteristic parameters of the p-th polluted water quality index of the i-th wastewater treatment equipment in the h-th time series feature after homogenization treatment, For the qualified characteristic parameter interval of the pth polluted water quality index in the data warehouse, output the second treatment efficiency indicator factor of several wastewater treatment equipment in the industrial park, Indicates the number of each time series feature, , is any integer greater than 2, Indicates the number of each polluted water quality index, , is any integer greater than 2.

[0067] It should be noted that the qualified characteristic parameter intervals of the various polluted water quality indicators represent the reasonable range of the various polluted water quality indicators. If they are not within this interval, there is a risk of pollutants exceeding the standard. The specific information is obtained from industry specifications and stored in the data warehouse.

[0068] The treatment efficiency index factors of the wastewater treatment equipment in the industrial park are obtained by weightedly averaging the first treatment efficiency index factors and the second treatment efficiency index factors of the wastewater treatment equipment in the industrial park.

[0069] It should be noted that the first treatment efficiency indicator factor and the second treatment efficiency indicator factor of several wastewater treatment equipment in the industrial park are weighted averaged, that is, the first treatment efficiency indicator factor and the second efficiency indicator factor both have corresponding weight factors. The weight factor of the first treatment efficiency indicator factor and the weight factor corresponding to the second efficiency indicator factor reflect the influence of the first treatment efficiency indicator factor and the second treatment efficiency indicator factor on the treatment efficiency indicator factor. The greater the influence, the greater the weight factor. It is specifically set by experts related to water pollution control. The weighted average processing method belongs to the existing technology and is relatively simple, so it will not be elaborated here.

[0070] Based on the wastewater pollution index of several wastewater treatment equipment in the industrial park, the wastewater pollution index interval corresponding to each initial operation mode characteristic value is obtained from the cloud management platform, and the initial operation mode characteristic values of several wastewater treatment equipment in the industrial park are obtained through comparison. .

[0071] It should be noted that the wastewater pollution index interval corresponding to the characteristic values of each initial operating mode is specifically the wastewater pollution index interval corresponding to the ideal operating mode without considering the treatment efficiency of the wastewater treatment equipment. The larger the wastewater pollution index, the larger the characteristic value of the initial operating mode and the higher the intensity of the operating mode. It is specifically set by experts related to water pollution control.

[0072] The treatment efficiency index factors of several wastewater treatment equipment in the industrial park The initial operation mode characteristic values are imported into the predicted operation mode correction model, and the predicted operation mode characteristic values of several wastewater treatment equipment in the industrial park are output, so as to match the predicted operation mode of each wastewater treatment equipment in the industrial park.

[0073] It should be noted that the initial operating mode characteristic values include values of 1, 2, 3, and 4. When the initial operating mode characteristic values are 1, 2, 3, and 4, the corresponding initial operating modes are energy-saving mode, normal mode, emergency mode, and auxiliary mode, respectively. The auxiliary mode is assisted by movable auxiliary equipment.

[0074] It should also be added that, with respect to the predicted operating modes matched to the wastewater treatment equipment in the industrial park, if the predicted operating mode characteristic value of a wastewater treatment equipment in the industrial park is a value greater than or equal to 4, then the predicted operating mode of the wastewater treatment equipment is the auxiliary mode; if it is a value less than or equal to 1, then the predicted operating mode of the wastewater treatment equipment is the energy-saving mode; if it is a value of 2 or 3, then the corresponding predicted operating modes are the normal mode and the emergency mode, respectively.

[0075] As a preferred solution, the predicted operation mode correction model is specifically:

[0076] , in , , 、 They are respectively represented as the operation mode down adjustment parameter and operation mode up adjustment parameter of the i-th wastewater treatment equipment, The demand processing efficiency indicator factor for the unit adjustment operation mode characteristic value, is the demand treatment efficiency indicator factor interval corresponding to the characteristic value of the initial operation mode of the i-th wastewater treatment equipment, To round up, output the predicted operating mode characteristic values of several wastewater treatment equipment in the industrial park , thereby matching the predicted operating mode of each wastewater treatment equipment in the industrial park.

[0077] It should be noted that the demand treatment efficiency indicator factor interval corresponding to the initial operating mode characteristic value of each wastewater treatment equipment is specifically obtained from the demand treatment efficiency indicator factor interval corresponding to each initial operating mode characteristic value stored in the data warehouse. The larger the initial operating mode characteristic value, the larger the treatment efficiency indicator factor, which is specifically set by the wastewater treatment equipment expert.

[0078] The present invention uses a wastewater treatment equipment mode confirmation module, based on the regular operation data and treatment data of the wastewater treatment equipment, taking into account the predicted pollution index of the wastewater treatment equipment, and combining the inherent conditions and treatment capacity of the wastewater treatment equipment to determine whether it can match the treatment of wastewater generated in production workshops in the industrial park. While ensuring the treatment effect of the wastewater treatment equipment and maintaining the life of the wastewater treatment equipment, the present invention also saves resource consumption of the wastewater treatment equipment, avoids excessive treatment, and avoids waste of resources.

[0079] The management terminal adjusts the operation mode of several wastewater treatment equipment in the industrial park to the predicted operation mode.

[0080] Reference Figure 2 As shown, the second aspect of the present invention provides a method for executing the industrial equipment monitoring and management system described in the present invention, including: ST1, using sensor fusion technology to monitor the normal operation data and processing data of several wastewater treatment equipment in the industrial park, and generating a set of normal operation data and a set of processing data of several wastewater treatment equipment in the industrial park under time series characteristics and uploading them to the cloud management platform.

[0081] ST2. Predict the monitoring parameters and wastewater pollution index of several wastewater treatment equipment in the industrial park and upload them to the cloud management platform.

[0082] ST3. Determine the predicted operating modes of several wastewater treatment equipment in the industrial park, where the operating modes include a normal mode, an energy-saving mode, an emergency mode, and an auxiliary mode.

[0083] ST4. Adjust the operating mode of several wastewater treatment equipment in the industrial park to the predictive operating mode.

[0084] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should all fall within the scope of protection of the present invention.

Claims

1. An industrial equipment monitoring and management system based on a cloud management platform, characterized in that: include: The wastewater treatment equipment monitoring module uses sensor fusion technology to monitor the regular operation data and processing data of several wastewater treatment equipment in the industrial park, and generates a set of regular operation data and processing data of several wastewater treatment equipment in the industrial park under time series characteristics and uploads them to the cloud management platform; The wastewater treatment equipment prediction module obtains the prior and expected production information of the industrial park from the cloud management platform, predicts the monitoring parameters and wastewater pollution index of several wastewater treatment equipment in the industrial park, and uploads them to the cloud management platform; A wastewater treatment equipment mode confirmation module determines the predicted operating modes of several wastewater treatment equipment in the industrial park based on the wastewater pollution index and the regular operation data set and the processing data set under the time series characteristics of the wastewater treatment equipment. The operating modes include regular mode, energy-saving mode, emergency mode and auxiliary mode; The management terminal adjusts the operating mode of several wastewater treatment equipment in the industrial park to the predictive operating mode.

2. The industrial equipment monitoring and management system based on a cloud management platform according to claim 1, characterized in that: The conventional operation data includes appearance images; The processed data includes the pre-characteristic parameters and post-characteristic parameters of each polluted water quality index.

3. The industrial equipment monitoring and management system based on a cloud management platform according to claim 1, characterized in that: The specific prediction method for predicting the monitoring parameters and wastewater pollution index of several wastewater treatment equipment in the industrial park is as follows: Extract the raw material sets and water pollution index sets of each historical processing of several production workshops from the prior production information of the industrial park. Combined with the expected production information of the industrial park, determine the predicted pollutant index set of several production workshops in the industrial park, and predict the wastewater pollution index of several wastewater treatment equipment in the industrial park. Obtain the associated production workshops corresponding to several wastewater treatment equipment in the industrial park from the cloud management platform, map the predicted pollutant index sets corresponding to the associated production workshops of several wastewater treatment equipment in the industrial park, and summarize the predicted pollutant index sets of several wastewater treatment equipment in the industrial park, which are used as monitoring parameters for several wastewater treatment equipment in the industrial park.

4. The industrial equipment monitoring and management system based on a cloud management platform according to claim 3, characterized in that: The specific method for determining the predicted pollutant index set of several production workshops in the industrial park is as follows: Based on the raw material sets and polluted water quality index sets of each historical processing of each production workshop in the industrial park, and extracting the expected raw material sets of each production workshop from the expected production information of the industrial park, first execute A1. If the feedback of A1 fails, execute A2. The polluted water quality index set includes the characteristic parameters of each polluted water quality index; A1. Comparing and analyzing several reference historical processes for each production workshop in the industrial park, extracting each polluted water quality indicator from the polluted water quality indicator set of each reference historical process for each production workshop in the industrial park, mapping each polluted water quality indicator to the corresponding reference historical process for each production workshop, processing the obtained frequencies of each polluted water quality indicator, and summarizing several polluted water quality indicators with frequencies greater than or equal to a preset reference frequency into a predicted pollutant indicator set; A2. Build a database of relationships between pollutant index sets and raw material usage sets in the industrial park. Based on the expected raw material sets used by each production workshop in the industrial park, screen out the pollutant index sets of each production workshop in the industrial park as the predicted pollutant index sets of each production workshop in the industrial park.

5. The industrial equipment monitoring and management system based on a cloud management platform according to claim 4, characterized in that: The specific prediction method for predicting the wastewater pollution index of several wastewater treatment equipment in the industrial park is as follows: Extracting characteristic parameters of each polluted water quality index from the historical processing polluted water quality index set of each production workshop in the industrial park, and performing homogenization processing on the set to obtain the processed characteristic parameters of each polluted water quality index; The comprehensive pollution index method is used to calculate the wastewater pollution index of each historical processing of each production workshop in the industrial park; Extract the wastewater discharge volume of each historical process from the production data of each production workshop in the industrial park. Based on the expected raw material set used by each production workshop in the industrial park, combined with the raw material set used by each production workshop in the industrial park, the wastewater discharge volume, and the wastewater pollution index, if the feedback from A1 is successful, execute B1; otherwise, execute B2; B1, based on several reference historical processes of each production workshop in the industrial park, extract the wastewater pollution index of each reference historical process of each production workshop in the industrial park, average them, and obtain the wastewater pollution index of each production workshop. Then, through similar processing, obtain the wastewater discharge volume of each production workshop in the industrial park; B2: Build a database of relationships between wastewater pollution indices and raw material usage for each industrial park. Based on the expected raw material usage of each production workshop in the industrial park, filter out the wastewater pollution index of each production workshop in the industrial park, and then obtain the wastewater discharge volume of each production workshop in the industrial park through similar treatment. Obtain the corresponding production workshops of several wastewater treatment equipment in the industrial park from the cloud management platform, map the corresponding production workshops of several wastewater treatment equipment in the industrial park, and map the wastewater pollution index of each wastewater treatment equipment in the industrial park to each related production workshop. , wastewater discharge Import into wastewater pollution index correction model Output the wastewater pollution index of each wastewater treatment equipment in the industrial park , Indicates the number of each wastewater treatment equipment, , is any integer greater than 2, Indicates the number of each associated production workshop, , is any integer greater than 2.

6. The industrial equipment monitoring and management system based on a cloud management platform according to claim 2, characterized in that: The specific method for determining the predicted operating mode of several wastewater treatment equipment in the industrial park is as follows: Based on the regular operation data set and treatment data set of several wastewater treatment equipment in the industrial park under time series characteristics, the treatment efficiency indicator factors of several wastewater treatment equipment in the industrial park are evaluated; Based on the wastewater pollution index of several wastewater treatment equipment in the industrial park, the wastewater pollution index interval corresponding to each initial operation mode characteristic value is obtained from the cloud management platform, and the initial operation mode characteristic values of several wastewater treatment equipment in the industrial park are obtained through comparison. ; The treatment efficiency index factors of several wastewater treatment equipment in the industrial park The initial operation mode characteristic values are imported into the predicted operation mode correction model, and the predicted operation mode characteristic values of several wastewater treatment equipment in the industrial park are output, so as to match the predicted operation mode of each wastewater treatment equipment in the industrial park.

7. The industrial equipment monitoring and management system based on a cloud management platform according to claim 6, characterized in that: The prediction operation mode correction model is specifically: ， in , , 、 They are respectively represented as the operation mode down adjustment parameter and operation mode up adjustment parameter of the i-th wastewater treatment equipment, The demand processing efficiency indicator factor for the unit adjustment operation mode characteristic value, is the demand treatment efficiency indicator factor interval corresponding to the characteristic value of the initial operation mode of the i-th wastewater treatment equipment, To round up, output the predicted operating mode characteristic values of several wastewater treatment equipment in the industrial park , thereby matching the predicted operating mode of each wastewater treatment equipment in the industrial park.

8. The industrial equipment monitoring and management system based on a cloud management platform according to claim 6, characterized in that: The specific evaluation method for evaluating the treatment efficiency indicator factors of several wastewater treatment equipment in the industrial park is as follows: Extracting appearance images of each time series feature from a set of regular operation data of several wastewater treatment equipment in the industrial park under time series features, and obtaining first treatment efficiency indicator factors of the several wastewater treatment equipment in the industrial park through data processing; The pre-characteristic parameters, post-characteristic parameters and characteristic parameters of each polluted water quality index of each time series feature are extracted from the treatment data set of several wastewater treatment equipment in the industrial park under time series characteristics, and then the characteristic parameters of each operation index are homogenized and imported into the second treatment efficiency indicator factor model. The second treatment efficacy indicator factor model is specifically: ， in 、 are the pre-characteristic parameters and post-characteristic parameters of the p-th polluted water quality index of the i-th wastewater treatment equipment in the h-th time series feature after homogenization treatment, For the qualified characteristic parameter interval of the pth polluted water quality index in the data warehouse, output the second treatment efficiency indicator factor of several wastewater treatment equipment in the industrial park, Indicates the number of each time series feature, , is any integer greater than 2, Indicates the number of each polluted water quality index, , is any integer greater than 2; The treatment efficiency index factors of the wastewater treatment equipment in the industrial park are obtained by weightedly averaging the first treatment efficiency index factors and the second treatment efficiency index factors of the wastewater treatment equipment in the industrial park.

9. The industrial equipment monitoring and management system based on a cloud management platform according to claim 1, characterized in that: The specific treatment method for the first treatment efficiency indicator factor of the wastewater treatment equipment in the industrial park is as follows: Based on the appearance images of several wastewater treatment equipment in the industrial park at various time series features, defect data of several wastewater treatment equipment in the industrial park at various time series features are obtained through image recognition technology, wherein the defect data includes several defect types; Obtain the risk factor corresponding to each defect type from the data warehouse. The risk factor includes a value of 0-1. Filter the risk factors of several defect types of several wastewater treatment equipment in the industrial park in each time series feature, and perform average processing on them to obtain the overall risk factor of several wastewater treatment equipment. , the first treatment efficiency index factor of several wastewater treatment equipment in the industrial park is obtained by processing , It is the first treatment efficiency indicator factor of several wastewater treatment equipment in the industrial park.

10. A method for executing the industrial equipment monitoring and management system according to any one of claims 1 to 9, characterized in that: include: ST1. Use sensor fusion technology to monitor the regular operation data and processing data of several wastewater treatment equipment in the industrial park, and generate a set of regular operation data and processing data based on time series characteristics for several wastewater treatment equipment in the industrial park and upload them to the cloud management platform; ST2: Predict monitoring parameters and wastewater pollution indexes for several wastewater treatment equipment within the industrial park and upload them to the cloud management platform; ST3. Determine the predicted operating modes of several wastewater treatment equipment within the industrial park, including normal mode, energy-saving mode, emergency mode, and auxiliary mode; ST4. Adjust the operating mode of several wastewater treatment equipment in the industrial park to the predictive operating mode.

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