System and method for utility sharing network between manufacturing industry factories

Abstract

The present invention relates to a system for a utility sharing network between manufacturing industry factories, the system comprising: at least one utility supply facility (100) for supplying at least one fluid; a utility measurement facility (200) for measuring first sensing data of the fluid discharged from the utility supply facility; at least one utility factory (300) for receiving the fluid; a utility factory measurement facility (400) for measuring second sensing data of the fluid supplied to the utility factory; a utility piping network facility (500) for sequentially moving the fluid to the utility supply facility, the utility measurement facility, the utility factory, and the utility factory measurement facility; and a utility network sharing platform (600) comprising a measurement data collection unit (610) for collecting the first sensing data and the second sensing data of the utility measurement facility and the utility factory measurement facility, and a supply facility piping valve control unit (620) for controlling the movement of the fluid by using the utility piping network facility.

Description

Utility sharing network system and method between manufacturing plants

[0001] The present invention relates to a utility sharing network system and method between manufacturing plants, and more particularly, to a utility sharing network system and method between manufacturing plants that supplies utilities (steam, compressed air, etc.) used in manufacturing plants from one or more utility supply facilities with high facility efficiency to multiple utility-using plants, and that collects, analyzes, and predicts ICT measurement data of utility supply facilities (source) and utility demand plants (sink), production information data by plant, and utility network piping design information data, thereby enabling energy consumption reduction, and provides analysis data, prediction data, and information on optimal routing paths.

[0002] Conventional technology often uses low-cost, low-efficiency, small-capacity utility supply equipment (boilers and air compressors) by installing and operating an air compressor for supplying compressed air to each individual plant in a manufacturing plant and a steam / hot water boiler for using steam or hot water.

[0003] Energy consumption management is not being implemented due to the lack of real-time efficiency analysis and forecasting of the steam and / or compressed air supply facilities of these manufacturing plants.

[0004] In addition, some manufacturing plants have introduced FEMS (Factory Energy Management System) to analyze the energy efficiency of supply facilities, but the replacement of inefficient utility facilities is not smooth and utilities are not shared between plants, making it difficult to produce, supply, and use utilities efficiently.

[0005] Some factories have systems in place to supply shared utility (steam, compressed air) facilities to their user factories. However, this is being done without measuring, analyzing, or predicting data on utility supply facilities, utility usage, and energy consumption at manufacturing plants, and thus, energy consumption management and energy savings for utility sharing are not being implemented.

[0006] Another problem with conventional technology is that the technology for supplying heat energy to demand factories by producing heat energy in group energy facilities that supply steam or hot water and supplying it to demand factories does not apply optimization technology for energy consumption because the supply company supplies to demand factories without analyzing and predicting the demand of the demand factories.

[0007] In addition, group energy facilities are not applicable to small-scale utility supply-demand networks as they are based on large-scale supply facilities.

[0008] Due to these problems of the prior art, there is an urgent need for a utility sharing optimization technology through ICT data collection, analysis and prediction and analysis of energy loss in pipe routing, such as the present invention, in companies that operate individual utility supply facilities in individual manufacturing plants, utility group energy supply companies, and factories that operate small-scale public utility supply facilities and use them jointly in the factories of multiple companies.

[0009] Korean Patent Publication No. 10-2646327 discloses an energy trading VUP platform that can expand the scope of utilization of high-efficiency energy equipment and promote efficient use of energy by sharing surplus energy, and comprises: an energy sensing unit that receives a measured amount of energy usage; an energy demand company information unit that stores information on energy demand companies that receive energy; an energy supply company information unit that stores information on energy supply companies that supply energy; an energy transaction virtualization unit that generates an energy transaction virtualization map based on transaction party information provided by the energy demand company information unit and the energy supply company information unit; and an energy distribution control unit that controls the flow of energy based on information provided by the energy transaction virtualization unit.

[0010] Korean Patent Publication No. 10-2257934 discloses a utility portal technology for managing demand-response events, wherein the energy management system can host the portal, and the utility portal technology includes several different options that allow the utility companies to communicate information to and receive information from the energy management system, and performs the demand-response event through intelligent network-connected devices based on information provided by the utility company.

[0011] Korean Patent Publication No. 10-2631426 discloses a method for operating a district heating system that transfers heat produced from a heat production facility to a heat use facility using a heat transport facility, the method including a central monitoring unit, an automatic control unit, a heat exchange unit, and an optimal heat supply calculation unit, the step of providing a heat use facility that supplies medium-temperature water to a receiving unit through the heat exchange unit, the step of maintaining prediction scenario data including a predicted heating energy amount and a predicted outside temperature for a specific period of time for the heat use facility by a predetermined time unit for the optimal heat supply calculation unit, the step of calculating a supply temperature of heating water by an hourly basis using the predicted heating energy amount, the predicted outside temperature, the actual outside temperature, the return temperature of heating water, and the building factor of the receiving unit by an hourly basis, and the step of controlling the heating water to the supply temperature by the automatic control unit.

[0012] The above prior literature is related to the Virtual Utility Plant (VUP) energy trading VUP platform, which is a sharing platform between utility suppliers and demanders for factory utilities such as steam, compressed air, and hot water, an energy management system that manages events so that power supply companies can manage peak power demand for power demanders, and a network sharing between heat production facilities and heat use facilities for steam / hot water among utilities.

[0013] However, the present invention includes a routing technology that determines a pipe route by calculating the consumption pattern analysis / prediction of demand factories using the utility, supply prediction of utility supply facilities, and heat loss and pressure loss in the pipe network between the utility supply facilities and demand factories, and the demand prediction and supply prediction are technologies performed based on artificial intelligence, and there is a difference in the system and system operation method including a shared algorithm between demand factories using the utility and supply factories.

[0014] Therefore, we propose a utility sharing network system and method between manufacturing plants that provides analysis data, prediction data, and information on optimal routing paths to enable energy consumption reduction through collecting, analyzing, and predicting ICT measurement data of utility supply facilities (source) and utility demand plants (sink), production information data by plant, and utility network piping design information data.

[0015] (Prior art literature)

[0016] (Patent Document)

[0017] (Patent Document 0001) Korean Patent Registration No. 10-2646327

[0018] (Patent Document 0002) Korean Patent Registration No. 10-2257934

[0019] (Patent Document 0003) Korean Patent Registration No. 10-2631426

[0020] The present invention is intended to solve the above problems, and provides a utility sharing network system and method between manufacturing plants that supplies utilities used in manufacturing plants from one or more utility supply facilities with high facility efficiency to multiple utility-using factories, and that collects, analyzes, and predicts ICT measurement data, factory-specific production information data, and utility network piping design information data of utility supply facilities and utility-demanding factories, thereby enabling energy consumption reduction, thereby providing analysis data, prediction data, and information on optimal routing paths.

[0021] To achieve these objectives, the present invention provides a utility sharing network system between manufacturing plants, which may include a utility network sharing platform (600) comprising: one or more utility supply facilities (100) that supply one or more fluids; a utility measuring facility (200) that measures first sensing data of the fluid discharged from the utility supply facilities; one or more utility factories (300) that receive the fluids; a utility factory measuring facility (400) that measures second sensing data of the fluid supplied to the utility factories; a utility piping network facility (500) that sequentially moves the fluid to the utility supply facilities, the utility measuring facility, the utility factory, and the utility factory measuring facility; and a measurement data collection unit (610) that collects the first sensing data and the second sensing data of the utility measuring facility and the utility factory measuring facility; and a supply facility piping valve control unit (620) that controls the movement of the fluid using the utility piping network facility.

[0022] In addition, the utility network sharing platform includes a utility data input unit (630) including a utility supply facility design data input unit (631) for inputting first design data of the utility supply facility; a utility factory production data input unit (632) for inputting production data of the utility factory; and a utility pipe network facility design data input unit (633) for inputting second design data of the utility pipe network facility; a utility software unit (640) including a first software model (641) for calculating pipe pressure loss and heat loss of the utility pipe network facility; a second software model (642) for calculating device efficiency of the utility supply facility; a third software model (643) for predicting the fluid supply capacity of the utility supply facility using artificial intelligence; and a fourth software model (644) for analyzing and predicting the fluid demand of the utility factory using artificial intelligence. It may include a measurement "G input database module (650) that collects data from the above measurement data collection unit and the utility data input unit; an analysis database module (660) that collects data from the utility software unit; and a utility network routing software unit (670) that collects data from the measurement and input database module and the analysis database module to route the path of the fluid passing through the utility pipe network equipment and supply the routing data to the analysis database module.

[0023] In addition, when the fluid is steam, the utility supply equipment is a boiler (110); and the first sensing data measured by the utility measuring equipment is a first steam flow rate, a first steam pressure, and a first steam temperature, and the second sensing data measured by the utility factory measuring equipment is a second steam flow rate, a second steam pressure, and a second steam temperature. When the fluid is compressed air, the utility supply equipment is an air compressor (120); and the first sensing data measured by the utility measuring equipment is a first power amount, and the second sensing data measured by the utility factory measuring equipment is a second power amount. In addition, as utility auxiliary data, the utility supply equipment outdoor temperature and the utility supply equipment outdoor humidity can be measured by the utility measuring equipment, and as utility factory auxiliary data, the utility factory outdoor temperature and the utility factory outdoor humidity can be measured by the utility factory measuring equipment.

[0024] In addition, when the fluid is steam, the first design data entered into the utility supply facility design data input section includes at least one of boiler operating hours, boiler operating dates, boiler fuel types, boiler fuel usage, boiler steam production, boiler steam production pressure, boiler breakdown, boiler maintenance plan, and boiler maintenance history; and when the fluid is compressed air, the first design data entered into the utility supply facility design data input section includes at least one of air compressor operating hours, air compressor operating dates, air compressor power supply type, air compressor power usage, air compressor compressed air production, air compressor compressed air pressure, air compressor breakdown, air compressor maintenance plan, and air compressor maintenance history; and the production data entered into the utility factory production data input section includes at least one of product types, product production amounts, operating hours, operating personnel, process line types, process line quantities, steam usage, steam pressure usage, compressed air usage, compressed air pressure usage, and power usage by factory. Including the above, the second design data input into the utility pipe network equipment design data input section may include at least one of the inner diameter of each pipe section, length of each pipe section, type of insulation material of each pipe section, length of insulation material of each pipe section, pipe embedding information, type of valve of each pipe section, quantity of elbows of each pipe section, quantity of pipes of each pipe section, and quantity of pipes of each pipe section.

[0025] In addition, the first sensing data of the utility metering equipment, the utility auxiliary data, the first design data of the utility supply equipment design data input section, the first sensing data, the utility auxiliary data and the first design data are supplied to the second software model, and the calculated device efficiency data is supplied to the third software model for learning, and the R of the third software model 2If the value is greater than or equal to 0.8 and the coefficient of variation of the root mean square error (CvRMSE) is less than or equal to 0.2, the supply reliability evaluation of the third software model is passed, and the fluid supply availability is predicted using the third software model that passed the supply reliability evaluation, and if the supply prediction accuracy of the fluid supply availability is greater than or equal to 0.86, the supply prediction accuracy evaluation of the third software model is passed, and the fluid supply availability can be supplied to the analysis database module.

[0026] In addition, the second sensing data of the utility factory measuring equipment, the utility factory auxiliary data and the production data of the utility factory production data input section are supplied to the fourth software model to learn, and the R of the fourth software model 2 If the value is greater than or equal to 0.8 and the coefficient of variation of the root mean square error (CvRMSE) is less than or equal to 0.2, the demand reliability evaluation of the fourth software model is passed, and the fluid demand is predicted using the fourth software model that passed the demand reliability evaluation, and if the demand forecast accuracy of the fluid demand is greater than or equal to 0.85, the demand forecast accuracy evaluation of the fourth software model is passed, and the fluid demand can be supplied to the analysis database module.

[0027] In addition, the first sensing data, the second sensing data, the utility auxiliary data, the utility plant auxiliary data, the device efficiency data, and the second design data are supplied to the first software model to calculate the pipe pressure loss data and the pipe heat loss data, the fluid supply amount and the fluid demand amount of the analysis database module, and the utility network routing software unit calculates the pipe flow rate for each routing path, calculates the pipe heat loss amount grade evaluation data of the pipe flow rate for each routing path, and calculates the pipe pressure loss allowance data of the pipe flow rate for each routing path to produce optimal pipe route guidance data, and supplies the pipe flow rate for each routing path, the pipe heat loss amount grade evaluation data, the pipe pressure loss allowance data, and the optimal pipe route guidance data to the analysis database module.

[0028] In addition, the utility network sharing platform can receive the optimal piping route guidance data from the analysis database module and supply the fluid from the utility supply facility through the supply facility piping valve control unit and supply the fluid to the utility plant through the utility piping network facility.

[0029] In order to achieve these objectives, the present invention provides a method for operating a utility sharing network system between manufacturing plants, comprising: a first step of inputting first design data of one or more utility supply facilities (100) supplying one or more fluids into a utility supply facility design data input unit (631); a first step of inputting production data of one or more utility factories receiving the fluids into a utility factory production data input unit (632); and a first step of inputting second design data of utility piping network facilities into a utility piping network facility design data input unit (633); a second step of measuring first sensing data of the fluid discharged from the utility supply facility (100), utility auxiliary data such as the utility supply facility outdoor temperature and utility supply facility outdoor humidity using a utility measuring facility (200); a second step of measuring second sensing data of the fluid supplied to the utility factory, utility factory auxiliary data such as the utility factory outdoor temperature and utility factory outdoor humidity using a utility factory measuring facility (400); Step 3-1 of calculating device efficiency data by supplying the first sensing data, the first design data and the utility auxiliary data to a second software model that calculates the device efficiency of the utility supply facility; Step 3-2 of providing the first sensing data, the utility auxiliary data, the first design data and the device efficiency data to a third software model that predicts the fluid supply capacity of the utility supply facility using artificial intelligence and training the third software model; Step 3-4 of applying the third software model to R 2Step 3-3, in which the supply reliability evaluation of the third software model is passed if the value is greater than or equal to 0.8 and the coefficient of the variation of the root mean square error (CvRMSE) is less than or equal to 0.2, and in which the supply reliability evaluation is not passed, the process returns to Step 3-2; Step 3-4, in which the fluid supply availability is predicted using the third software model that passed the supply reliability evaluation; Step 3-5, in which the supply forecast accuracy of the fluid supply availability is greater than or equal to 0.86, the supply forecast accuracy evaluation of the third software model is passed, and in which the process returns to Step 3-4 if the supply forecast accuracy is not passed; And a 3-6 step of supplying the fluid supply amount that has passed the 3-5 step to the analysis database module; wherein the steps 1-1 to 1-3 can be changed in order, and the steps 2-1 and 2-2 can be changed in order, a method for operating a utility sharing network system between manufacturing plants can be provided.

[0030] In addition, the 4th step of providing the second sensing data of the utility factory measuring equipment, the utility factory auxiliary data and the production data of the utility factory production data input section to the 4th software model that analyzes and artificial intelligence-based predicts the fluid demand of the utility factory and trains it; applying the 4th software model to R 2A step 4-2 in which the demand reliability evaluation of the fourth software model is passed if the value is greater than or equal to 0.8 and the coefficient of the variation of the root mean square error (CvRMSE) is less than or equal to 0.2, and if the demand reliability evaluation is not passed, the method returns to step 4-1; a step 4-3 in which the fluid demand is predicted using the fourth software model that passed the demand reliability evaluation; a step 4-4 in which the demand forecast accuracy of the fluid demand is passed if the demand forecast accuracy of the fourth software model is greater than or equal to 0.86, and if the demand forecast accuracy is not passed, the method returns to step 4-3; and a step 4-5 in which the fluid demand that passed step 4-4 is supplied to the analysis database module; wherein steps 3-1 to 3-6 and steps 4-1 to 4-5 may be performed sequentially or simultaneously.

[0031] In addition, a step 5-1 of calculating pipe pressure loss and heat loss data by supplying the first sensing data, the second sensing data, the utility auxiliary data, the utility plant auxiliary data, the device efficiency data, and the second design data to a first software model that calculates pipe pressure loss data and pipe heat loss data of the utility pipe network equipment; a step 5-2 of supplying the first sensing data, the second sensing data, the utility auxiliary data, the utility plant auxiliary data, the device efficiency data, the second design data, the pipe pressure loss data, the pipe heat loss data, and the fluid demand to the utility network routing software unit; a step 5-3 of calculating the pipe flow rate for each routing path by the utility network routing software unit; a step 5-4 of calculating the pipe heat loss grade evaluation data of the pipe flow rate for each routing path and the pipe pressure loss allowance data of the pipe flow rate for each routing path to produce optimal pipe route guidance data; It may include a step 5-5 of supplying the pipe flow rate for each routing path, the pipe heat loss grade evaluation data, the pipe pressure loss allowance data, and the optimal pipe route guidance data to the analysis database module.

[0032] In addition, the utility network sharing platform may include a sixth step of receiving the optimal pipe route guidance data from the analysis database module and supplying the fluid from the utility supply facility through the supply facility pipe valve control unit and supplying the fluid to the utility plant through the utility pipe network facility.

[0033] The present invention can also be provided in a form in which various means for solving the above problem are combined.

[0034] The utility sharing network system and method between manufacturing plants of the present invention can reduce energy consumption resulting from utility production and use by sharing utilities with nearby plants through a small-scale network rather than individually installing and using utility supply facilities (steam, compressed air, etc.) in manufacturing plants.

[0035] Additionally, as individual factories use less steam and compressed air, they can install and operate less energy-efficient equipment to reduce installation costs, thereby lowering energy consumption.

[0036] Additionally, by sharing utility facilities with nearby manufacturing plants, energy consumption can be reduced by utilizing high-efficiency utility supply facilities.

[0037] Additionally, energy can be saved by utilizing the utility supply facilities of a factory with existing high-efficiency utility supply facilities and installing high-efficiency shared facilities and sharing them through a network.

[0038] In addition, by considering the surplus rate of individual utility supply facilities for each factory, the total facility capacity of the factories is excessively large, so the energy consumption that occurs due to the low facility operation load rate of the supply facilities can be reduced.

[0039] In addition, energy consumption can be reduced because real-time efficiency analysis and management of energy supply facilities are not being conducted, and measurement and analysis of the supply amount of supply facilities and utility usage in the process used in the factory are not being conducted.

[0040] In addition, by analyzing the efficiency of utility supply facilities and AI prediction models and analyzing and predicting the capacity of demand factories and operating them through network sharing, it is possible to manage utility production and use between supply and demand, and by optimally managing the operating load rate and capacity of supply facilities, energy consumed in unnecessary utility production can be reduced.

[0041] Additionally, utility network routing path optimization data analysis capabilities can minimize energy loss by sharing utilities along optimal routes that reduce energy loss.

[0042] In addition, efficiency management and predictive maintenance of utility supply facilities can be achieved through efficiency analysis and artificial intelligence prediction of utility supply facilities.

[0043] In addition, it is possible to manage the maintenance plan of utility supply facilities so that there are no problems with the factory's production schedule, and it is possible to decide whether to replace facilities by comparing energy consumption, energy costs, and facility installation costs between reinstalling new facilities due to a decrease in efficiency and continuing to use them through maintenance.

[0044] In addition, it is possible to determine whether energy savings and cost reductions are possible through the network of utility supply facilities and demand factories, and it is possible to analyze the regional limit distance where networks can be built by utility type, and it is possible to secure data that can determine the business feasibility of the area where utility networks are shared, and it is possible to determine the optimal piping route through analysis of the design route for the utility piping network route, thereby reducing energy savings and piping construction costs.

[0045] Figure 1 is a shared conceptual diagram of a utility sharing network system between manufacturing plants of the present invention.

[0046] Figure 2 is a conceptual diagram of the source part of the method for operating a steam utility sharing network system between manufacturing plants of the present invention.

[0047] Figure 3 is a conceptual diagram of the sink portion of the steam utility sharing network system operation method between manufacturing plants of the present invention.

[0048] Figure 4 is a conceptual diagram of the network portion of the method for operating a steam utility sharing network system between manufacturing plants of the present invention.

[0049] Figure 5 is a conceptual diagram of the source part of the operating method of the compressed air utility sharing network system between manufacturing plants of the present invention.

[0050] Figure 6 is a conceptual diagram of the sink portion of the operating method of the compressed air utility sharing network system between manufacturing plants of the present invention.

[0051] Figure 7 is a conceptual diagram of the network portion of the operating method of the compressed air utility sharing network system between manufacturing plants of the present invention.

[0052] Figure 8 is a hardware conceptual diagram of a utility sharing network system between manufacturing plants of the present invention.

[0053] Figure 9 is a software conceptual diagram of a utility sharing network system between manufacturing plants of the present invention.

[0054] Hereinafter, with reference to the attached drawings, embodiments of the present invention will be described in detail, so that those skilled in the art can easily implement the present invention. However, when describing the operating principles of preferred embodiments of the present invention in detail, if a detailed description of a related known function or configuration is judged to unnecessarily obscure the gist of the present invention, such detailed description will be omitted.

[0055] Additionally, the same drawing reference numerals are used for parts with similar functions and actions throughout the drawings. Throughout the specification, when a part is said to be connected to another part, this includes not only direct connections but also indirect connections with other elements intervening. Furthermore, inclusion of a component does not exclude other components unless specifically stated otherwise, but rather implies the inclusion of additional components.

[0056] Additionally, any limitations or additions to any embodiment in this specification may be applied not only to that specific embodiment, but also to other embodiments.

[0057] Additionally, throughout the description and claims of the present invention, the singular includes the plural unless otherwise stated.

[0058] The present invention is described in detail with reference to the drawings.

[0059] Anyone with ordinary skill in the art to which the present invention pertains will be able to perform various applications and modifications within the scope of the present invention based on the above contents.

[0060] Let's organize the acronyms. VUP(Virtual Utility Plant), AI(Artificial Intelligence), Network Routing is a piping network routing (route) to supply from one or more utility supply facilities to multiple utility demand plants. The utility (steam, compressed air, etc.) supply facility is called Source, the utility (steam, compressed air, etc.) consuming plant is called Sink, and the air compressor is called Pneumatic, R 2 is defined as the symbol of the coefficient of determination in linear regression analysis.

[0061] Figure 1 is a shared conceptual diagram of a utility sharing network system between manufacturing plants of the present invention.

[0062] The utility sharing network system between manufacturing factories of the present invention may be a utility sharing network system between manufacturing factories, including a utility network sharing platform (600) including one or more utility supply facilities (100) that supply one or more fluids; a utility measuring facility (200) that measures first sensing data of the fluid discharged from the utility supply facilities; one or more utility factories (300) that receive the fluids; a utility factory measuring facility (400) that measures second sensing data of the fluid supplied to the utility factories; a utility piping network facility (500) that sequentially moves the fluid to the utility supply facilities, the utility measuring facility, the utility factory, and the utility factory measuring facility; and a measurement data collection unit (610) that collects the first sensing data and the second sensing data of the utility measuring facility and the utility factory measuring facility; and a supply facility piping valve control unit (620) that controls the movement of the fluid using the utility piping network facility.

[0063] In addition, the utility network sharing platform includes a utility data input unit (630) including a utility supply facility design data input unit (631) for inputting first design data of the utility supply facility; a utility factory production data input unit (632) for inputting production data of the utility factory; and a utility pipe network facility design data input unit (633) for inputting second design data of the utility pipe network facility; a utility software unit (640) including a first software model (641) for calculating pipe pressure loss and heat loss of the utility pipe network facility; a second software model (642) for calculating device efficiency of the utility supply facility; a third software model (643) for predicting the fluid supply capacity of the utility supply facility using artificial intelligence; and a fourth software model (644) for analyzing and predicting the fluid demand of the utility factory using artificial intelligence. It may include a measurement "G input database module (650) that collects data from the above measurement data collection unit and the utility data input unit; an analysis database module (660) that collects data from the utility software unit; and a utility network routing software unit (670) that collects data from the measurement and input database module and the analysis database module to route the path of the fluid passing through the utility pipe network equipment and supply the routing data to the analysis database module.

[0064] In addition, the first software model may be a software for calculating pressure loss and heat loss values ​​through pressure loss and heat loss calculation formulas and deriving an optimal path based on the calculated data, with the implementation language being Python 3 version and the driving module using the Math module.

[0065] In addition, the second software model may be a software for calculating the efficiency of a utility supply facility based on a database of equipment specification input data and equipment measurement data, with the implementation language being Python 3 version and the driving module using at least one of PyMySQL and Math Module.

[0066] In addition, the third software model may be a software that uses Python 3 as its implementation language, uses one or more of scikit-learn, Joblib, and optuna as its driving module, and learns and predicts the supply capacity of utility (steam, compressed air, etc.) supply facilities by utilizing a machine learning algorithm such as MLP (Multi Layer Perceptron) based on collected data.

[0067] In addition, the fourth software model may be a software that uses Python 3 as an implementation language, uses one or more of scikit-learn, Joblib, and optuna as an operating module, and learns and predicts the demand of utility (steam, compressed air, etc.) receiving plants by utilizing a machine learning algorithm such as MLP (Multi Layer Perceptron) based on collected data.

[0068] In addition, when the fluid is steam, the utility supply equipment is a boiler (110); and the first sensing data measured by the utility measuring equipment is a first steam flow rate, a first steam pressure, and a first steam temperature, and the second sensing data measured by the utility factory measuring equipment is a second steam flow rate, a second steam pressure, and a second steam temperature. When the fluid is compressed air, the utility supply equipment is an air compressor (120); and the first sensing data measured by the utility measuring equipment is a first power amount, and the second sensing data measured by the utility factory measuring equipment is a second power amount. In addition, as utility auxiliary data, the utility supply equipment outdoor temperature and the utility supply equipment outdoor humidity can be measured by the utility measuring equipment, and as utility factory auxiliary data, the utility factory outdoor temperature and the utility factory outdoor humidity can be measured by the utility factory measuring equipment.

[0069] In addition, when the fluid is steam, the first design data entered into the utility supply facility design data input section includes at least one of boiler operating hours, boiler operating dates, boiler fuel types, boiler fuel usage, boiler steam production, boiler steam production pressure, boiler breakdown, boiler maintenance plan, and boiler maintenance history; and when the fluid is compressed air, the first design data entered into the utility supply facility design data input section includes at least one of air compressor operating hours, air compressor operating dates, air compressor power supply type, air compressor power usage, air compressor compressed air production, air compressor compressed air pressure, air compressor breakdown, air compressor maintenance plan, and air compressor maintenance history; and the production data entered into the utility factory production data input section includes at least one of product types, product production amounts, operating hours, operating personnel, process line types, process line quantities, steam usage, steam pressure usage, compressed air usage, compressed air pressure usage, and power usage by factory. Including the above, the second design data input into the utility pipe network equipment design data input section may include at least one of the inner diameter of each pipe section, length of each pipe section, type of insulation material of each pipe section, length of insulation material of each pipe section, pipe embedding information, type of valve of each pipe section, quantity of elbows of each pipe section, quantity of pipes of each pipe section, and quantity of pipes of each pipe section.

[0070] The network sharing stage from utility supply facilities to demand factories is provided as guidance to drivers on the VUP platform with the results derived from each of the three stages.

[0071] The three steps are (1) deriving results through analysis and prediction of utility supply facilities;

[0072] (2) A step to derive results through analysis and prediction of demand factories.

[0073] (3) It is divided into a step of deriving the utility network routing path optimization result using the results of these two steps.

[0074] Figure 2 is a conceptual diagram of the source part of the method for operating a steam utility sharing network system between manufacturing plants of the present invention.

[0075] In addition, the first sensing data of the utility metering equipment, the utility auxiliary data, the first design data of the utility supply equipment design data input section, the first sensing data, the utility auxiliary data and the first design data are supplied to the second software model, and the calculated device efficiency data is supplied to the third software model for learning, and the R of the third software model 2 If the value is greater than or equal to 0.8 and the coefficient of variation of the root mean square error (CvRMSE) is less than or equal to 0.2, the supply reliability evaluation of the third software model is passed, and the fluid supply availability is predicted using the third software model that passed the supply reliability evaluation, and if the supply prediction accuracy of the fluid supply availability is greater than or equal to 0.86, the supply prediction accuracy evaluation of the third software model is passed, and the fluid supply availability can be supplied to the analysis database module.

[0076] Figure 3 is a conceptual diagram of the sink portion of the steam utility sharing network system operation method between manufacturing plants of the present invention.

[0077] In addition, the second sensing data of the utility factory measuring equipment, the utility factory auxiliary data and the production data of the utility factory production data input section are supplied to the fourth software model to learn, and the R of the fourth software model 2If the value is greater than or equal to 0.8 and the coefficient of variation of the root mean square error (CvRMSE) is less than or equal to 0.2, the demand reliability evaluation of the fourth software model is passed, and the fluid demand is predicted using the fourth software model that passed the demand reliability evaluation, and if the demand forecast accuracy of the fluid demand is greater than or equal to 0.85, the demand forecast accuracy evaluation of the fourth software model is passed, and the fluid demand can be supplied to the analysis database module.

[0078] Figure 4 is a conceptual diagram of the network portion of the method for operating a steam utility sharing network system between manufacturing plants of the present invention.

[0079] In addition, the first sensing data, the second sensing data, the utility auxiliary data, the utility plant auxiliary data, the device efficiency data, and the second design data are supplied to the first software model to calculate the pipe pressure loss data and the pipe heat loss data, the fluid supply amount and the fluid demand amount of the analysis database module, and the utility network routing software unit calculates the pipe flow rate for each routing path, calculates the pipe heat loss amount grade evaluation data of the pipe flow rate for each routing path, and calculates the pipe pressure loss allowance data of the pipe flow rate for each routing path to produce optimal pipe route guidance data, and supplies the pipe flow rate for each routing path, the pipe heat loss amount grade evaluation data, the pipe pressure loss allowance data, and the optimal pipe route guidance data to the analysis database module.

[0080] In addition, the utility network sharing platform can receive the optimal piping route guidance data from the analysis database module and supply the fluid from the utility supply facility through the supply facility piping valve control unit and supply the fluid to the utility plant through the utility piping network facility.

[0081] Among the utilities, the boiler, which is a steam supply facility, inputs, collects, and analyzes measurement data and input data.

[0082] Boiler input measurement data has the function of collecting and inputting (1) outside temperature, (2) outside humidity, (3) operating hours for each boiler, (4) operating date, (5) boiler fuel type and usage, (6) boiler design specifications (fuel type, steam production flow rate, steam production pressure), (7) boiler malfunction, (8) boiler maintenance plan, (9) maintenance history, etc., to analyze and predict the efficiency and steam production supply capacity of one or more boilers.

[0083] ? It has the function of analyzing boiler efficiency through collected data. That is, the VUP platform screen is configured so that the operator can view the collected measurement data for each boiler supply facility and the boiler specification values ​​and efficiency analysis data so that the operating system can understand them.

[0084] The VUP platform is configured to enable data input and output by building a database system to systematically manage and utilize measurement data, input data, and analysis data.

[0085] Using data collected and analyzed from the boiler supply system, a utility supply forecasting model trained using an artificial intelligence algorithm is built on the VUP platform.

[0086] In the case of actual application of the present invention, the utility supply capacity prediction algorithm of the utility supply system applied was the MLP (Multi Layer Perceptron) algorithm.

[0087] The model reliability of the supply prediction algorithm was determined by applying a model that satisfies the conditions of an R2 value of 0.8 or higher and a CvRMSE value of 20% or lower. The R2 and CvRMSE values ​​for the prediction model reliability can be set by the system developer. If the model reliability falls below the set value, the AI ​​supply prediction model is retrained to ensure that the model reliability is above the set value. The AI ​​supply prediction model for utility supply volume predicts the available utility flow rate, and the predicted results are provided to the driver as driving guidance.

[0088] To analyze and forecast demand for steam and hot water at demand plants, we collect, collect, and analyze measurement and input data from demand plants. Input data from demand plants includes the type and quantity of production lines at each plant, steam pressure at each plant, total electricity consumption at each plant, product type, product production volume, operating hours, and operating personnel. Measurement data includes outdoor temperature, outdoor humidity, steam flow rate and pressure at each plant, and steam pressure at each plant.

[0089] A utility steam demand forecasting model trained using an AI algorithm is built on the VUP platform using data collected and analyzed at each demand plant. The AI ​​demand forecasting algorithm for the demand plant also uses the same MLP (Multi-Layer Perceptron) algorithm as the supply forecasting algorithm. The steam usage demand forecasting model for the demand plant follows the same procedure as the supply forecasting model. Specifically, the model reliability of the demand forecasting algorithm is determined by a model that satisfies the conditions of an R2 value of 0.8 or higher and a CvRMSE value of 20% or lower. The R2 and CvRMSE values ​​for the prediction model reliability can be set by the system developer. If the model reliability falls below the set value, the AI ​​demand forecasting model is retrained to ensure that it meets the set reliability requirements. The AI ​​demand forecasting model predicts utility usage and provides the predicted results as driving guidance to drivers.

[0090] (1) Results for utility supply facilities, (2) results for demand plants, and (3) an algorithm is applied to calculate heat loss and pressure loss by routing path based on utility network piping design data. Utility network piping design data has the function of inputting and storing in the database the inner diameter and length of each pipe section, insulation type and thickness, pipe location (aboveground, underground), and specifications and quantities of fittings (valves, elbows, shaft pipes, expansion pipes, etc.). The results of calculating heat loss and pressure loss by utility pipe routing path have the function of providing the driver with driving guidance.

[0091] Driving guidance provided to drivers based on analysis and artificial intelligence prediction results is configured to be visualized on the VUP platform.

[0092] Based on the analysis and prediction results of utility supply facilities, the analysis and prediction results of demand plants, and the optimal network routing path, the system has the ability to control operation along a pipeline route that determines the pipeline routing path for the target supply facilities and demand plants operating in the network system, separate from what is visualized in the operating guidance. The operating method can be selected from an automatic control method based on the results or a manual operation method by the operator based on the operating guidance.

[0093] Figure 5 is a conceptual diagram of the source part of the operating method of the compressed air utility sharing network system between manufacturing plants of the present invention.

[0094] In order to achieve these objectives, the present invention provides a method for operating a utility sharing network system between manufacturing plants, comprising: a first step of inputting first design data of one or more utility supply facilities (100) supplying one or more fluids into a utility supply facility design data input unit (631); a first step of inputting production data of one or more utility factories receiving the fluids into a utility factory production data input unit (632); and a first step of inputting second design data of utility piping network facilities into a utility piping network facility design data input unit (633); a second step of measuring first sensing data of the fluid discharged from the utility supply facility (100), utility auxiliary data such as the utility supply facility outdoor temperature and utility supply facility outdoor humidity using a utility measuring facility (200); a second step of measuring second sensing data of the fluid supplied to the utility factory, utility factory auxiliary data such as the utility factory outdoor temperature and utility factory outdoor humidity using a utility factory measuring facility (400); Step 3-1 of calculating device efficiency data by supplying the first sensing data, the first design data and the utility auxiliary data to a second software model that calculates the device efficiency of the utility supply facility; Step 3-2 of providing the first sensing data, the utility auxiliary data, the first design data and the device efficiency data to a third software model that predicts the fluid supply capacity of the utility supply facility using artificial intelligence and training the third software model; Step 3-4 of applying the third software model to R 2Step 3-3, in which the supply reliability evaluation of the third software model is passed if the value is greater than or equal to 0.8 and the coefficient of the variation of the root mean square error (CvRMSE) is less than or equal to 0.2, and in which the supply reliability evaluation is not passed, the process returns to Step 3-2; Step 3-4, in which the fluid supply availability is predicted using the third software model that passed the supply reliability evaluation; Step 3-5, in which the supply forecast accuracy of the fluid supply availability is greater than or equal to 0.86, the supply forecast accuracy evaluation of the third software model is passed, and in which the process returns to Step 3-4 if the supply forecast accuracy is not passed; And a 3-6 step of supplying the fluid supply amount that has passed the 3-5 step to the analysis database module; wherein the steps 1-1 to 1-3 can be changed in order, and the steps 2-1 and 2-2 can be changed in order, a method for operating a utility sharing network system between manufacturing plants can be provided.

[0095] Figure 6 is a conceptual diagram of the sink portion of the operating method of the compressed air utility sharing network system between manufacturing plants of the present invention.

[0096] In addition, the 4th step of providing the second sensing data of the utility factory measuring equipment, the utility factory auxiliary data and the production data of the utility factory production data input section to the 4th software model that analyzes and artificial intelligence-based predicts the fluid demand of the utility factory and trains it; applying the 4th software model to R 2A step 4-2 in which the demand reliability evaluation of the fourth software model is passed if the value is greater than or equal to 0.8 and the coefficient of the variation of the root mean square error (CvRMSE) is less than or equal to 0.2, and if the demand reliability evaluation is not passed, the method returns to step 4-1; a step 4-3 in which the fluid demand is predicted using the fourth software model that passed the demand reliability evaluation; a step 4-4 in which the demand forecast accuracy of the fluid demand is passed if the demand forecast accuracy of the fourth software model is greater than or equal to 0.86, and if the demand forecast accuracy is not passed, the method returns to step 4-3; and a step 4-5 in which the fluid demand that passed step 4-4 is supplied to the analysis database module; wherein steps 3-1 to 3-6 and steps 4-1 to 4-5 may be performed sequentially or simultaneously.

[0097] Figure 7 is a conceptual diagram of the network portion of the operating method of the compressed air utility sharing network system between manufacturing plants of the present invention.

[0098] In addition, a step 5-1 of calculating pipe pressure loss and heat loss data by supplying the first sensing data, the second sensing data, the utility auxiliary data, the utility plant auxiliary data, the device efficiency data, and the second design data to a first software model that calculates pipe pressure loss data and pipe heat loss data of the utility pipe network equipment; a step 5-2 of supplying the first sensing data, the second sensing data, the utility auxiliary data, the utility plant auxiliary data, the device efficiency data, the second design data, the pipe pressure loss data, the pipe heat loss data, and the fluid demand to the utility network routing software unit; a step 5-3 of calculating the pipe flow rate for each routing path by the utility network routing software unit; a step 5-4 of calculating the pipe heat loss grade evaluation data of the pipe flow rate for each routing path and the pipe pressure loss allowance data of the pipe flow rate for each routing path to produce optimal pipe route guidance data; It may include a step 5-5 of supplying the pipe flow rate for each routing path, the pipe heat loss grade evaluation data, the pipe pressure loss allowance data, and the optimal pipe route guidance data to the analysis database module.

[0099] Among utilities, the compressed air network sharing system, like the steam network sharing system, is implemented in three stages, utilizing measurement and design data from compressed air supply facilities. Furthermore, unlike steam, the algorithm for deriving optimized compressed air network piping routing paths excludes analysis of piping heat loss and instead derives optimal routing paths based on pressure loss results for each routing path. Furthermore, for individual air compressors installed at each demand plant, the algorithm reflects the energy savings achieved by comparing the power consumption of each air compressor with the power consumption of the network sharing system, resulting in optimized piping routing paths.

[0100] Figure 8 is a hardware conceptual diagram of a utility sharing network system between manufacturing plants of the present invention.

[0101] The composition of the present invention comprises (A) utility (steam, compressed air) supply equipment and (B) measurement sensors of utility demand plants, (C) measurement data collection unit and (D) S / W utility network sharing platform (VUP platform).

[0102] Figure 9 is a software conceptual diagram of a utility sharing network system between manufacturing plants of the present invention.

[0103] In addition, the utility network sharing platform may include a sixth step of receiving the optimal pipe route guidance data from the analysis database module and supplying the fluid from the utility supply facility through the supply facility pipe valve control unit and supplying the fluid to the utility plant through the utility pipe network facility.

[0104] The Utility (Pipe) Network Sharing Platform (VUP Platform) consists of (1) a utility piping design information data input section, (2) piping pressure loss and heat loss calculation software, (3) a production information input section of receiving plants, (4) an efficiency and supply analysis and artificial intelligence prediction model of utility supply equipment (boilers, air compressors), (5) an analysis and artificial intelligence prediction model of utility demand of receiving plants, and (6) a utility network routing model.

[0105] Although the present invention has been described in detail through representative examples above, those skilled in the art will understand that various modifications can be made to the above-described embodiments without departing from the scope of the present invention.

[0106] Therefore, the scope of the present invention should not be limited to the described embodiments, but should be defined not only by the claims described below but also by equivalents of the claims.

[0107] (Explanation of symbols)

[0108] 100: Utility supply facilities

[0109] 110: Boiler

[0110] 120: Air compressor

[0111] 200: Utility metering equipment

[0112] 300: Utility Factory

[0113] 400: Utility plant measuring equipment

[0114] 500: Utility piping network equipment

[0115] 600: Utility Network Sharing Platform

[0116] 610: Measurement data collection unit

[0117] 620: Supply equipment piping valve control unit

[0118] 630: Utility data input section

[0119] 631: Utility Supply Facility Design Data Input Section

[0120] 632: Utility Factory Production Data Input Department

[0121] 633: Utility Piping Network Equipment Design Data Input Section

[0122] 640: Utility Software Department

[0123] 641: First Software Model

[0124] 642: Second Software Model

[0125] 643: Third Software Model

[0126] 644: The Fourth Software Model

[0127] 650: Measurement "G Input Database Module

[0128] 660: Analysis Database Module

[0129] 670: Utility Network Routing Software Department

Claims

1. One or more utility supply facilities (100) supplying one or more fluids; Utility measuring equipment (200) that measures the first sensing data of the fluid discharged from the utility supply equipment; One or more utility plants (300) supplied with the above fluid; Utility plant measuring equipment (400) that measures the second sensing data of the fluid supplied to the utility plant; Utility piping network equipment (500) that sequentially moves the fluid to the utility supply equipment, the utility metering equipment, the utility factory, and the utility factory metering equipment; and A utility sharing network system between manufacturing plants, comprising a utility network sharing platform (600) including a measurement data collection unit (610) that collects the first sensing data and the second sensing data of the utility measuring equipment and the utility factory measuring equipment; and a supply equipment piping valve control unit (620) that controls the movement of the fluid using the utility piping network equipment.

2. In paragraph 1, The above utility network sharing platform includes a utility supply facility design data input unit (631) for inputting the first design data of the utility supply facility; A utility factory production data input unit (632) for inputting production data of the above utility factory; and A utility data input unit (630) including a utility pipe network equipment design data input unit (633) for inputting second design data of the utility pipe network equipment; A first software model (641) for calculating the piping pressure loss and heat loss of the above utility piping network equipment; A second software model (642) for calculating the device efficiency of the above utility supply facility; A third software model (643) that predicts the fluid supply capacity of the above utility supply facility using artificial intelligence; and A utility software unit (640) including a fourth software model (644) that analyzes and predicts the fluid demand of the utility plant using artificial intelligence; A measurement "G input database module (650) that collects data from the above measurement data collection unit and the above utility data input unit; An analysis database module (660) that collects data from the utility software section; and A utility sharing network system between manufacturing plants, comprising a utility network routing software unit (670) that collects data from the measurement and input database module and the analysis database module to route the path of the fluid passing through the utility pipe network equipment and supplies the routing data to the analysis database module.

3. In paragraph 2, If the above fluid is steam, The above utility supply facility is a boiler (110); The first sensing data measured by the above utility metering equipment are the first steam flow rate, the first steam pressure, and the first steam temperature. The second sensing data measured by the above utility plant measuring equipment are the second steam flow rate, second steam pressure, and second steam temperature. If the above fluid is compressed air, The above utility supply facility is an air compressor (120); The first sensing data measured by the above utility metering equipment is the first power quantity, The second sensing data measured by the above utility factory measuring equipment is the second power quantity. In addition, a utility sharing network system between manufacturing plants where the utility supply facility outdoor temperature and utility supply facility outdoor humidity are measured by the utility measuring equipment as utility auxiliary data, and the utility factory outdoor temperature and utility factory outdoor humidity are measured by the utility factory measuring equipment as utility factory auxiliary data.

4. In paragraph 3, If the above fluid is steam, The first design data entered into the above utility supply facility design data input section includes at least one of boiler operating hours, boiler operating dates, boiler fuel types, boiler fuel usage, boiler steam production, boiler steam production pressure, boiler malfunction, boiler maintenance plan, and boiler maintenance history. If the above fluid is compressed air, The first design data entered into the above utility supply facility design data input section includes at least one of air compressor operating hours, air compressor operating dates, air compressor power supply type, air compressor power usage, air compressor compressed air production, air compressor compressed air pressure, air compressor malfunction, air compressor maintenance plan, and air compressor maintenance history. The production data entered into the above utility factory production data input section includes at least one of the following: product type, product production volume, operating hours, operating personnel, process line type, process line quantity, steam amount used, steam pressure used, compressed air amount used, compressed air pressure used, and power amount used by factory. The second design data entered into the above utility pipe network equipment design data input section is a utility sharing network system between manufacturing plants that includes at least one of the following: inner diameter by pipe section, length by pipe section, insulation type by pipe section, insulation length by pipe section, pipe embedding information, valve type by pipe section, elbow quantity by pipe section, pipe extension quantity by pipe section, and pipe expansion quantity by pipe section.

5. In paragraph 4, The first sensing data of the above utility metering equipment, the utility auxiliary data, The first design data of the above utility supply facility design data input section and The first sensing data, the utility auxiliary data, and the first design data are supplied to the second software model, and the device efficiency data calculated is supplied to the third software model for learning. R of the third software model above 2 If the value is greater than or equal to 0.8 and the coefficient of variation of the root mean square error (CvRMSE) is less than or equal to 0.2, the supply reliability evaluation of the third software model is passed. Predict the fluid supply capacity using the third software model that passed the above supply reliability evaluation, A utility sharing network system between manufacturing plants that passes the supply prediction accuracy evaluation of the third software model and supplies the fluid supply availability to the analysis database module if the supply prediction accuracy of the fluid supply availability is higher than or equal to 0.

86.

6. In paragraph 5, The second sensing data of the utility factory measuring equipment, the auxiliary data of the utility factory, and the production data of the utility factory production data input section are supplied to the fourth software model to learn, R of the above 4th software model 2 If the value is greater than or equal to 0.8 and the coefficient of variation of the root mean square error (CvRMSE) is less than or equal to 0.2, the demand reliability evaluation of the fourth software model is passed. The fluid demand is predicted using the fourth software model that passed the demand reliability evaluation. A utility sharing network system between manufacturing plants that passes the demand forecast accuracy evaluation of the fourth software model and supplies the fluid demand to the analysis database module if the demand forecast accuracy of the above fluid demand is greater than or equal to 0.

85.

7. In paragraph 6, The first sensing data, the second sensing data, the utility auxiliary data, the utility plant auxiliary data, the device efficiency data and the second design data are supplied to the first software model, and the calculated pipe pressure loss data and pipe heat loss data, the fluid supply capacity and the fluid demand of the analysis database module are supplied to the utility network routing software unit. The above utility network routing software unit calculates the pipe flow rate for each routing path, Data on the grade evaluation of pipe heat loss for each pipe flow rate by the above routing path and By calculating the allowable pressure loss data for the pipe flow rate for each routing path above, the optimal pipe route guidance data is derived. A utility sharing network system between manufacturing plants that supplies the pipe flow rate for each routing path, the pipe heat loss rating evaluation data, the pipe pressure loss allowance data, and the optimal pipe route guidance data to the analysis database module.

8. In paragraph 7, The utility network sharing platform is a utility sharing network system between manufacturing plants that receives the optimal piping route guidance data from the analysis database module, supplies the fluid from the utility supply facility through the supply facility piping valve control unit, and supplies the fluid to the utility plant through the utility piping network facility.

9. Step 1-1 of inputting the first design data of one or more utility supply facilities (100) supplying one or more fluids into the utility supply facility design data input section (631); Step 1-2 of inputting production data of one or more utility plants supplied with the above fluid into the utility plant production data input unit (632); and Step 1-3 of entering the second design data of the utility pipe network equipment into the utility pipe network equipment design data input section (633); Step 2-1 of measuring the first sensing data of the fluid discharged from the utility supply facility (100), the utility auxiliary data, the utility supply facility outside air temperature and the utility supply facility outside air humidity, using the utility measuring facility (200); Step 2-2 of measuring the second sensing data of the fluid supplied to the utility factory, the utility factory auxiliary data, the utility factory outdoor temperature and the utility factory outdoor humidity, using the utility factory measuring equipment (400); Step 3-1 of calculating device efficiency data by supplying the first sensing data, the first design data, and the utility auxiliary data to a second software model that calculates the device efficiency of the utility supply facility; Step 3-2 of providing the first sensing data, the utility auxiliary data, the first design data, and the device efficiency data to a third software model that predicts the fluid supply capacity of the utility supply facility using artificial intelligence and training it; Applying the above third software model to R 2 If the value is greater than or equal to 0.8 and the coefficient of variation of the root mean square error (CvRMSE) is less than or equal to 0.2, the supply reliability evaluation of the third software model is passed, and if the supply reliability evaluation is not passed, the 3-3 step returns to the 3-2 step; Step 3-4 of predicting the fluid supply capacity using the third software model that passed the supply reliability evaluation; Step 3-5, where if the supply prediction accuracy of the above fluid supplyable amount is higher than or equal to 0.86, the supply prediction accuracy evaluation of the third software model is passed, and if the supply prediction accuracy is not passed, the process returns to Step 3-4; and It includes a step 3-6 of supplying the fluid supply amount that has passed the step 3-5 to the analysis database module; The above steps 1-1 to 1-3 can be changed in order, The above steps 2-1 and 2-2 are a method for operating a utility sharing network system between manufacturing plants in which the order can be changed.

10. In paragraph 9, Step 4-1 of providing the second sensing data of the utility factory measuring equipment, the utility factory auxiliary data, and the production data of the utility factory production data input section to a fourth software model that analyzes and artificial intelligence-based predicts the fluid demand of the utility factory and trains the model; Applying the above 4th software model to R 2 If the value is greater than or equal to 0.8 and the coefficient of variation of the root mean square error (CvRMSE) is less than or equal to 0.2, the demand reliability evaluation of the fourth software model is passed, and if the demand reliability evaluation is not passed, the 4-2 step returns to the 4-1 step; Step 4-3 of predicting the fluid demand using the fourth software model that passed the demand reliability evaluation; Step 4-4, where if the demand forecast accuracy of the above fluid demand is greater than or equal to 0.86, the demand forecast accuracy evaluation of the above 4th software model is passed, and if the demand forecast accuracy is not passed, the system returns to Step 4-3; and It includes a step 4-5 of supplying the fluid demand that has passed the step 4-4 to the analysis database module; A method for operating a utility sharing network system between manufacturing plants, wherein steps 3-1 to 3-6 and steps 4-1 to 4-5 are performed sequentially or simultaneously.

11. In paragraph 10, Step 5-1 of calculating pipe pressure loss and heat loss data by supplying the first sensing data, the second sensing data, the utility auxiliary data, the utility plant auxiliary data, the device efficiency data, and the second design data to a first software model that calculates pipe pressure loss data and pipe heat loss data of the utility pipe network equipment; Step 5-2 of supplying the first sensing data, the second sensing data, the utility auxiliary data, the utility plant auxiliary data, the device efficiency data, the second design data, the pipe pressure loss data, the pipe heat loss data, and the fluid demand to the utility network routing software unit; The utility network routing software section calculates the pipe flow rate for each routing path in step 5-3; Step 5-4 of calculating the pipe heat loss grade evaluation data of the pipe flow rate for each routing path and the pipe pressure loss allowance data of the pipe flow rate for each routing path to produce optimal pipe route guidance data; A method for operating a utility sharing network system between manufacturing plants, comprising a step 5-5 of supplying the pipe flow rate for each routing path, the pipe heat loss rating evaluation data, the pipe pressure loss allowance data, and the optimal pipe route guidance data to the analysis database module.

12. In paragraph 11, A method for operating a utility sharing network system between manufacturing plants, comprising a sixth step of supplying the fluid from the utility supply facility and the fluid to the utility plant through the utility piping network facility by receiving the optimal piping route guidance data from the analysis database module and the utility network sharing platform through the supply facility piping valve control unit.

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