JP2021144516A - Lending proposal system for water treatment apparatus, lending proposal method for water treatment apparatus, prediction system, and prediction method - Google Patents

Abstract

To provide a lending proposal system for a water treatment apparatus and a lending proposal method for the water treatment apparatus, which predicts the necessity of expansion of temporary water treatment apparatus for each factory facility in advance and proposes lending of the water treatment apparatus.SOLUTION: A lending proposal system for a water treatment apparatus comprises: data analysis means for analyzing factor data at least including weather data in a factory facility; additional apparatus determination means for obtaining prediction information at least including a predicted flooded area from an analysis result by the data analysis means and determining a kind and number of additional water treatment apparatuses required for rainwater treatment of a water amount exceeding a normal level in consideration with the prediction information and current water treatment capability information of the water treatment apparatus owned by the factory facility; and lending proposal means for proposing temporary lending of the additional water treatment apparatuses to a person responsible for the factory facility.SELECTED DRAWING: None

Description

The present invention relates to a water treatment equipment rental proposal system, a water treatment equipment rental proposal method, a prediction system and a prediction method, and predicts in advance the necessity of temporarily expanding the water treatment equipment, particularly for each factory facility. The present invention relates to a water treatment equipment lending proposal system and a water treatment equipment lending proposal method capable of proposing a lending of a water treatment device, and a prediction system and a prediction method that can be used for the lending proposal system and the lending proposal method.

It may be necessary to temporarily expand water treatment equipment in various factory facilities. For example, in steel mills, raw materials placed outdoors come into contact with rainwater and disperse and dissolve in the rainwater to generate drainage, and in noodle factories, demand increases at specific times. The nature and amount of wastewater may change due to the production of wastewater, and the wastewater that cannot be treated by the remaining water treatment equipment may be generated due to aging of the water treatment equipment that is normally used. Be done.

In preparation for such cases, various factory facilities have conventionally installed water treatment equipment according to the maximum amount of water treatment that can be assumed, or added water treatment equipment every time a shortage occurs. Often.

However, when the water treatment equipment is installed based on the assumed amount of water treatment and the amount of shortage in the past in this way, the surplus water treatment equipment is carried, and maintenance and storage are performed even though the frequency of use is low. Costs may increase, such as location.

Therefore, in recent years, the number of companies that rent (rent) water treatment equipment is increasing, and the miniaturization of water treatment equipment for rent is also progressing. For example, in Patent Document 1, in order to remove suspended solids contained in wastewater, two stirring reaction tanks are provided, a flocculant is added to one stirring reaction tank, and the mixture is stirred and then in a pressurized state. A technique is disclosed in which the mixture is conveyed to the other stirring reaction tank, stirred, and then discharged in a pressurized state from there. It is disclosed that such a water treatment device does not require a large settling tank, can separate more solids into solid and liquid with a small amount of coagulant, and can contribute to the miniaturization of the water treatment device. ing.

Japanese Unexamined Patent Publication No. 2008-296163

When renting a water treatment device, it is basically necessary for the factory facility to determine the type and number of water treatment devices required. However, since many factory facilities lack know-how on water treatment, it is not possible to properly estimate the type and number of water treatment equipment currently required, and there are cases where excess or deficiency occurs. In particular, in factory facilities, when the capacity to store wastewater is poor, such as when there are few storage tanks, it is not sufficient to rent a water treatment device after a large amount of wastewater is generated, and a large amount of wastewater is generated in advance. A system that anticipates this and proposes the lending of water treatment equipment is desired.

The present invention has been made in view of the above circumstances, and is a water treatment apparatus that predicts in advance the necessity of temporarily expanding the water treatment apparatus for each factory facility and proposes the rental of the water treatment apparatus. It is an object of the present invention to provide a rental proposal system and a water treatment equipment rental proposal method, and a prediction system and a prediction method that can be used for them.

The present inventors have made extensive studies to solve the above problems. As a result, for each factory facility having specific properties, a data analysis means for analyzing factor data that affects the amount of wastewater and the obtained data analysis results are used to obtain predictive information related to the amount of wastewater. At the very least, taking into account the forecast information and the current water treatment capacity of the water treatment equipment owned by the factory facility, the equipment determination means for determining the required type and number of water treatment equipment, and the determined type and number of water. According to the water treatment equipment rental proposal system, which is equipped with a rental proposal means for proposing temporary rental of treatment equipment to the person in charge of the factory facility, the need for temporary expansion of water treatment equipment for each factory facility is sought. We have found that it is possible to propose the lending of water treatment equipment in advance, and have completed the present invention. Specifically, the present invention provides the following.

(1) From the data analysis means for analyzing the factor data including at least the meteorological data in the factory facility and the analysis result by the data analysis means, the prediction information including at least the predicted submerged area is obtained, and at least the prediction information, And additional equipment determination to determine the type and number of additional water treatment equipment required for rainwater treatment of water volumes above normal levels, taking into account the current water treatment capacity information of the water treatment equipment owned by the factory facility. A water treatment device lending proposal system comprising means and a lending proposing means for proposing a temporary lending of the additional water treatment device to the person in charge of the factory facility.

(2) The water treatment equipment rental proposal system according to (1) above, wherein the factor data further includes geographic data and factory data.

(3) The lending proposal system for a water treatment device according to (1) or (2) above, wherein the forecast information further includes loss forecast information caused by flooding and provision merit forecast information by lending.

(4) The water treatment device rental proposal system according to (1), (2) or (3) above, wherein the additional device determination means further considers water treatment record information of other factory facilities.

(5) The additional device determining means collects and learns the actual results in the factory facility corresponding to the prediction information and feeds them back to the data analysis means in any of the above (1) to (4). The described water treatment equipment rental proposal system.

(6) A data analysis means for analyzing factor data including at least individual device data relating to the individual use or installation of the water treatment device in a factory facility equipped with a plurality of water treatment devices.
From the analysis result by the data analysis means, the prediction information including at least the failure risk and the update priority of the water treatment device is obtained, and at least the prediction information and the current state of the plurality of water treatment devices owned by the factory facility are obtained. Temporary means of determining the renewal device for determining the water treatment device to be updated and an alternative water treatment device having a water treatment capacity equivalent to the water treatment device to be renewed in consideration of the water treatment capacity information of the above. A water treatment device lending proposal system including a lending proposing means for proposing lending to the person in charge of the factory facility.

(7) The water treatment device rental proposal system according to (6) above, wherein the factor data further includes general device data and wastewater data relating to the specifications or statistical features of the water treatment device.

(8) The water treatment device rental proposal system according to (6) or (7) above, wherein the prediction information further includes loss prediction information caused by a failure of the water treatment device and provision merit prediction information by lending.

(9) The water treatment apparatus according to (6), (7) or (8) above, which collects and learns actual results in the factory facility corresponding to the prediction information and feeds them back to the data analysis means. Lending proposal system.

(10) From the data analysis means for analyzing factor data including at least the past wastewater data in the manufacturing equipment of the product owned by the factory facility that manufactures the product whose demand fluctuates from time to time, and the analysis result by the data analysis means. , At least the forecast information including the water quality of the wastewater discharged from the manufacturing apparatus owned by the factory facility and the optimum treatment method for treating the wastewater, and at least the forecast information and the factory facility possess. In consideration of the current water treatment capacity information of the water treatment device, the additional device determination means for determining the type and number of additional water treatment devices required when the time changes, and the additional water treatment device. A water treatment device lending proposal system including a lending proposing means for proposing a temporary lending to the person in charge of the factory facility.

(11) The water treatment apparatus rental proposal system according to (10) above, wherein the factor data further includes meteorological data at the factory facility, current manufacturing data at the factory facility, and past manufacturing data at the factory facility. ..

(12) The water treatment device rental proposal system according to (10) or (11) above, which collects and learns actual results in the factory facility corresponding to the prediction information and feeds them back to the data analysis means. ..

(13) From the data analysis means for analyzing the factor data including at least the inflow / outflow water data in the storage tank or the settling tank in the factory facility provided with the storage tank or the settling tank and the analysis result by the data analysis means, the storage tank or the settling Prediction information including at least the amount of sediment generated in the tank and the optimum treatment method for treating the washing wastewater generated by washing it is obtained, and at least the prediction information and the water treatment apparatus owned by the factory facility are obtained. Propose to the person in charge of the factory facility an additional device determination means for determining the additional water treatment device required and a temporary rental of the additional water treatment device in consideration of the current water treatment capacity information of the above. A lending proposal system for water treatment equipment, which is equipped with a lending proposal means to be used.

(14) The water treatment apparatus rental proposal system according to (13) above, wherein the factor data further includes specification information data of the storage tank or the settling tank and cleaning data of past sediments.

(15) The water treatment device rental proposal system according to (13) or (14) above, which collects and learns actual results in the factory facility corresponding to the prediction information and feeds them back to the data analysis means. ..

(16) From the data analysis step for analyzing the factor data including at least the meteorological data in the factory facility and the analysis result by the data analysis step, the prediction information including at least the predicted submerged area is obtained, and at least the prediction information, In consideration of the current water treatment capacity information of the water treatment equipment owned by the factory facility, the equipment determination process for determining the type and number of water treatment equipment required for rainwater treatment of the amount of water exceeding the normal level, and A method for proposing a loan of a water treatment device, comprising a lending proposal process of proposing a temporary lending of the additional water treatment device to the person in charge of the factory facility.

(17) From the data analysis step of analyzing the factor data including at least the individual device data relating to the individual use or installation of the water treatment device in the factory facility equipped with a plurality of water treatment devices, and the analysis result by the data analysis step, the above Obtaining forecast information including at least the failure risk and update priority of the water treatment device, and at least considering the forecast information and the current water treatment capacity information of the plurality of water treatment devices owned by the factory facility. The person in charge of the factory facility is provided with a renewal device determination process for determining the water treatment device to be renewed and a temporary loan of an alternative water treatment device having a water treatment capacity equivalent to that of the water treatment device to be renewed. A method for proposing a loan of a water treatment device, which comprises a proposed lending proposal process.

(18) From the data analysis process that analyzes factor data including at least past wastewater data in the manufacturing equipment of the product owned by the factory facility that manufactures the product whose demand fluctuates from time to time, and the analysis result by the data analysis process. , At least the forecast information including the quality of the wastewater discharged from the manufacturing apparatus owned by the factory facility and the optimum treatment method for treating the wastewater, and at least the forecast information and the water possessed by the factory facility. A device determination process for determining the type and number of additional water treatment devices required when the time changes, taking into account the current water treatment capacity information of the treatment device, and a temporary device determination process for the additional water treatment devices. A method for proposing a loan of a water treatment device, comprising a lending proposal process for proposing a new loan to the person in charge of the factory facility.

(19) From the data analysis step of analyzing the factor data including at least the inflow / outflow water data in the storage tank or the settling tank in the factory facility provided with the storage tank or the settling tank, and the analysis result by the data analysis step, the storage tank or the settling Prediction information including at least the amount of sediment generated in the tank and the optimum treatment method for treating the washing wastewater generated by washing it is obtained, and at least the prediction information and the water treatment apparatus owned by the factory facility are obtained. In consideration of the current water treatment capacity information of the above, the device determination process for determining the required additional water treatment device and the temporary rental of the additional water treatment device are proposed to the person in charge of the factory facility. A method for proposing a loan of a water treatment device, which comprises a loan proposal process.

(20) Prediction including a data analysis means for analyzing factor data including at least meteorological data in a factory facility, and a prediction means for obtaining prediction information including at least the predicted submerged area from the analysis result by the data analysis means. system.

(21) From the data analysis means for analyzing factor data including at least individual device data relating to the individual use or installation of the water treatment device in a factory facility equipped with a plurality of water treatment devices, and the analysis result by the data analysis means, the above. A prediction system comprising a prediction means for obtaining prediction information including at least a failure risk or update priority of a water treatment apparatus.

(22) From the data analysis means for analyzing factor data including at least the past wastewater data in the manufacturing equipment of the product owned by the factory facility that manufactures the product whose demand fluctuates from time to time, and the analysis result by the data analysis means. A prediction system comprising, a prediction means for obtaining prediction information including at least the quality of wastewater discharged from the manufacturing apparatus owned by the factory facility and an optimum treatment method for treating the wastewater.

(23) From the data analysis means for analyzing factor data including at least the inflow / outflow data in the storage tank or the settling tank in the factory facility provided with the storage tank or the settling tank, and the analysis result by the data analysis means, the storage tank or the settling A prediction system comprising a prediction means for obtaining prediction information including at least an optimal treatment method for treating the amount of sediment generated in the tank and the washing wastewater generated by washing the sediment.

(24) Prediction including a data analysis step for analyzing factor data including at least meteorological data in a factory facility and a prediction step for obtaining prediction information including at least the predicted submerged area from the analysis result by the data analysis step. Method.

(25) From the data analysis step for analyzing factor data including at least individual device data relating to the individual use or installation of the water treatment device in a factory facility equipped with a plurality of water treatment devices, and the analysis result by the data analysis step, the above A prediction method comprising a prediction step of obtaining prediction information including at least the failure risk and update priority of a water treatment apparatus.

(26) From the data analysis process that analyzes factor data including at least past wastewater data in the manufacturing equipment of the product owned by the factory facility that manufactures the product whose demand fluctuates from time to time, and the analysis result by the data analysis process. A prediction method comprising, for obtaining prediction information including at least the quality of wastewater discharged from the manufacturing apparatus owned by the factory facility and the optimum treatment method for treating the wastewater.

(27) The storage tank or sedimentation is based on a data analysis step for analyzing factor data including at least inflow / outflow data in the storage tank or sedimentation tank in a factory facility provided with a storage tank or sedimentation tank, and analysis results by the data analysis step. A prediction method comprising a prediction step of obtaining prediction information including at least an optimum treatment method for treating the amount of sediment generated in the tank and the washing wastewater generated by washing the sediment.

According to the present invention, a water treatment device lending proposal system and a water treatment device lending proposal system that predicts in advance the need for temporary expansion of water treatment devices for each factory facility having specific properties and proposes the lending of water treatment devices. It is possible to provide a rental proposal method for water treatment equipment.

Hereinafter, specific embodiments of the present invention will be described in detail by dividing them into four specific embodiments for each factory facility having a specific property, but the present invention is limited to the following embodiments. However, it can be carried out with appropriate modifications within the scope of the object of the present invention.

Specifically, the four embodiments are as follows.
1. 1. Treatment of rainwater with an amount of water exceeding the normal level 2. Prediction of renewal of water treatment equipment and water treatment at the time of renewal 3. 4. Wastewater treatment of factory facilities that manufacture products whose demand fluctuates from season to season. Wastewater treatment when cleaning sediment in storage tank or settling tank

Of the four embodiments, "1. Rainwater treatment with an amount of water exceeding the normal level", "3. Wastewater treatment of a factory facility that manufactures products whose demand fluctuates with the seasons", and "4. All three sections of "Wastewater treatment during sediment cleaning" differ only in factor data and prediction information and their specific determination methods, and other components are common. Therefore, all the components are explained in the section "1. Rainwater treatment of water volume exceeding the normal level", and other "3. Wastewater treatment of factory facilities that manufacture products whose demand fluctuates from season to season" and "Wastewater treatment". 4. In the section "Wastewater treatment when cleaning sediments in storage tanks or sedimentation tanks", description of factor data and prediction information and components other than their specific determination method will be omitted, but this omitted part will be omitted. Shall be able to refer to the description in the section "1. Treatment of rainwater with a water volume exceeding the normal level".

Here, the "water treatment capacity" is divided according to the object to be removed by the main body that performs water treatment (for example, the steel mill or refinery in the section of "rainwater treatment of a steel mill or refinery" shown below). The maximum amount of water that can be treated in a specific period (the total amount of water that can be treated by a specific treatment device owned by the entity that performs water treatment).

[1. Stormwater treatment with water volume exceeding normal level]
The water treatment device rental proposal system according to the present embodiment includes data analysis means for analyzing factor data including at least meteorological data in factory facilities, and prediction information including at least the submerged area predicted from the analysis results by the data analysis means. At a minimum, given the forecast information and the current water treatment capacity information of the water treatment equipment owned by the factory facility, the type and number of additional water required for the treatment of rainwater in excess of normal levels. It is characterized by comprising an additional device determining means for determining a treatment device and a loan proposing means for proposing a temporary loan of an additional water treatment device to the person in charge of the factory facility.

In recent years, torrential rains caused by the stagnation of the Baiu front and the approaching typhoons, and local heavy rains caused by atmospheric instability (so-called guerrilla rainstorms) have occurred in many places from summer to early autumn. Has caused enormous damage to Japan. The rainwater generated in this way returns to the natural water cycle by, for example, flowing to the sea through a river, permeating into the ground and flowing underground, or transpiring into the air.

On the other hand, some rainwater is contaminated by a large amount of rainfall exceeding the normal level and the resulting flood damage, and it is not preferable to return it to the water cycle as it is. For example, in steelworks and coal-fired power plants, coal is placed in a yard exposed to rain, and when rainwater flows into this yard, sewage containing coal is generated. If the existing water treatment capacity is not sufficient to treat the rainwater that has flowed into the yard in a short time, the coal provided in the yard cannot be used, and production or the like may not be possible. ..

In addition, at a refinery, when rainwater flows into the site, it may be mixed with a trace amount of oil in the site to generate contaminated water. And if the water treatment capacity of this refinery is not sufficient to treat the contaminated water generated by mixing with the trace oil in the refinery in a short time, it will be necessary to temporarily store the contaminated water in the tank. There is. Depending on the condition of the empty tank and the urgency of water storage, contaminated water may be put into the tank containing oil, etc. In such a case, it becomes necessary to treat high concentration oil and hydrogen sulfide, and the treatment cost In addition to the increase in the number of tanks, the number of tanks may be insufficient and the tanks may be tight.

If water treatment equipment is installed in excess of the amount required for normal economic activities in order to secure water treatment capacity in case of such an unforeseen situation, maintenance and storage costs will increase, making it uneconomical. Is. Therefore, using the above-mentioned water treatment equipment rental proposal system, factor data including at least meteorological data at the factory facility is analyzed in advance, and prediction information including at least the predicted submerged area is obtained from the analysis result. At a minimum, the forecast information and the current water treatment capacity information of the water treatment equipment owned by the factory facility are taken into consideration to determine the type and number of additional water treatment equipment required for the treatment of rainwater with a water volume exceeding the normal level. do. Then, based on this information, a temporary loan of additional water treatment equipment is proposed to the person in charge of the factory facility.

(Data analysis means)
The data analysis means analyzes factor data including at least meteorological data in factory facilities.

The method for analyzing the factor data is not particularly limited, but IT technology and artificial intelligence (AI) technology including various simulations can be used.

The meteorological data as the factor data is the data related to the meteorological conditions in the factory facilities, and may include the meteorological data of the surrounding areas thereof. Meteorological data is not particularly limited, but is related to weather forecasts based on meteorological satellite data, precipitation amount based on GSMAP (sanitary global precipitation map), precipitation probability based on WBGT (heat index), and past and present water risks ( Warnings / warnings regarding tsunamis, typhoons, waves, thunder, heavy rains and tornadoes based on snowfall, rain cloud radar, maximum temperature, minimum temperature, humidity, wind direction, wind speed, sunshine time, seawater temperature), SYNOP (ground-based live weather report) And so on. These may be used alone or in combination of two or more.

In addition to the meteorological data described above, the factor data preferably includes geographic data relating to the geography of the steelworks or refineries and factory data relating to the individual characteristics of the steelworks or refineries.

Geographical data is not particularly limited, but contour maps, elevation topographic maps, water vein locations (groundwater veins in soil, groundwater maps, etc.), river locations, and other rivers in or around such refineries or refineries. Information (river water volume based on warming simulation, river water temperature based on topographic data, river water level based on tidal data), location of rainwater side ditches, location of concrete pavement, etc. can be mentioned. These may be used alone or in combination of two or more.

The factory data is not particularly limited, but the manufacturing data of such a steel mill or refinery (raw material item, production item, arrival quantity, shipment quantity, operation record, operation plan, quality record, trouble case, yield, manufacturing basic unit). , Water treatment capacity, Contaminated water storage capacity (number and arrangement of tanks, etc.), Disaster (flood, inundation) prediction simulation, disaster (flood, inundation) flash report, past due to disaster (earthquake, eruption, flood, inundation, etc.) Damage data, damage information due to past disasters or outages, etc. can be mentioned. These may be used alone or in combination of two or more.

Since the specific analysis method differs for each prediction information, it will be specifically described for each prediction information in the section of additional device determining means.

(Means for determining additional equipment)
The additional device determining means obtains the predicted information including at least the predicted submerged area from the analysis result by the data analysis means, and at least the predicted information and the current water treatment capacity information of the water treatment device owned by the factory facility. It takes into account the type and number of additional water treatment equipment required to treat rainwater with water volumes above normal levels.

As described above, the prediction information includes at least the predicted submerged area, and is predicted from the above-mentioned meteorological data by using IT technology or artificial intelligence (AI) technology.

For example, in the case of a steel mill, it is determined whether or not the predicted submerged area includes a raw material yard. Further, for example, in the case of a refinery, it is determined whether or not the area for handling oil (including indoors when flooding or the like occurs) is included in the predicted flooded area. Areas where contaminated water (water that needs to be treated using a water treatment device) as illustrated above can occur (for example, the raw material yard of a steel mill or the area that handles oil in a refinery) are submerged areas. If determined to be included, the type and number required for rainwater treatment of water volumes above normal levels, taking into account this forecast information and the current water treatment capacity of the water treatment equipment owned by the factory facility ( Determine additional water treatment equipment (including differences in treatment volume within the same type).

The "water amount exceeding the normal level" means the amount of rainfall when the amount of rainfall exceeds the estimated amount of rainfall at the time when the water treatment equipment currently owned by the factory facility is installed.

The submerged area is preferably predicted based on at least one or more of the precipitation amount and the probability of precipitation in or around the factory equipment among the above-mentioned meteorological data. In addition to this information, as topographic data, contour maps in or around factory equipment, elevation topographic maps, water vein positions, river positions, other river information, rainwater gutter positions, concrete pavement positions It is preferable to consider at least one or more such as. In this way, by considering the topography and precipitation in and around the factory facility and predicting the amount of water flowing into the factory facility (particularly the area where contaminated water can occur), the flooded area can be predicted more accurately. can do.

In addition to the predicted flooded area, the forecast information preferably includes one or more of water treatment amount prediction information, water quality prediction information, loss prediction information caused by flooding, and merit information provided by renting water treatment.

The water treatment amount prediction information is the total amount of contaminated water generated by water that rains in an area where contaminated water can occur or flows into an area where contaminated water can occur from another area. The required amount of water treatment is preferably predicted based on, for example, the amount of precipitation in or around the factory facility and the probability of precipitation in the above-mentioned meteorological data. In addition to this information, topographical data includes contour maps, elevation topographic maps, water vein locations (groundwater veins in soil, groundwater maps, etc.), river locations, and other rivers. It is preferable to consider information, the position of the gutter on the rainwater side, the position of the concrete pavement, and the like. In this way, the amount of water flowing into such factory equipment (particularly in areas where contaminated water can occur) is also predicted in consideration of the surrounding topography and precipitation. A more accurate decision can be made by determining the type and number of additional water treatment devices required, taking into account the water treatment volume prediction information.

Water quality prediction information (information such as the type and concentration of pollutants) is a target to be treated when pollutants are mixed with rainwater due to flooding in areas where polluted water may occur in factory facilities. The water quality is. For the water quality prediction information, for example, the type and concentration of pollutants can be specified in consideration of raw material items, production items, etc. in the above-mentioned factory data. More accurate decisions can be made by taking into account the water quality forecast information and determining the type and number of additional water treatment equipment required.

The loss forecast information includes a loss mainly due to a monetary loss caused by flooding, specifically, a monetary loss in the case where water treatment cannot be performed and the operation is stopped. The loss prediction information includes, for example, the above-mentioned flooded area and water treatment amount prediction information, as well as prediction simulation of disasters (floods, inundation, etc.), disaster flash reports, and past damage data due to disasters (for example, how much) among the factory data. Predict the phenomenon caused by flooding using data such as how much flooding occurred due to precipitation). Next, among the past damage data due to disasters, monetary data based on one or more of the data of financial loss due to past flooding or shutdown caused by other disasters, manufacturing data (profit per product unit), etc. Predict losses. By determining the type and number of additional water treatment equipment required in consideration of the loss prediction information, for example, the treatment is performed in the order of the lowest loss or the highest priority according to the magnitude of the loss. Additional types and numbers of water treatment equipment can be rented.

The provided merit prediction information is the amount of reduction in damage when the damage predicted as the loss prediction information can occur, and when the predetermined water treatment is lent out, and the additional water treatment device in the loss prediction information. The loss that can be reduced by lending. By determining the type and number of water treatment equipment required in consideration of the provision merit prediction information, for example, in order to perform treatment in descending order of priority according to the maximum provision merit or the magnitude of loss. Additional types and numbers of water treatment equipment can be rented.

In this additional device determining means, the required type and number of additional water treatment devices may be determined in consideration of the water treatment record information of other factory facilities. In particular, water treatment record information of factory facilities that handle similar products in the same industry is useful. If the scale of the factory facility and the amount of precipitation are different, the additional water treatment device may be determined in consideration of these differences.

It is preferable that the additional device determining means collects and learns the actual results in the factory facility corresponding to the above-mentioned prediction information and feeds them back to the data analysis means. The "actual result" (corresponding to the forecast information) referred to here means, for example, when the forecast information is a submerged area, the actual submerged area during the period to be predicted.

The learning method is not particularly limited, and for example, machine learning or the like can be used. As a learning method, for example, when the prediction information differs from the actual result, the cause can be identified and corrected for it. For example, if there is an error in the factor data (for example, if the weather forecast is incorrect), the factor data can be corrected, while if there is an error in the determination method, the determination method can be corrected. can.

The number of times of learning is not particularly limited and may be once or twice or more, but the accuracy of the prediction information increases as the number of times is repeated.

(Lending proposal means)
The loan proposing means proposes to the person in charge of the factory facility a temporary lending of the determined type and number of additional water treatment devices in the above-mentioned additional device determining means.

Here, the "responsible person of the factory facility" means a person who can judge and decide whether or not the temporary rental of the water treatment equipment is necessary in the factory facility.

Proposals to the person in charge of the factory facility may be made directly to the person in charge, or via a person who can propose to the person in charge a temporary loan of water treatment equipment (for example, an employee of such factory facility). It may be done indirectly.

As the water treatment device to be rented, one that can remove the component to be removed (for example, the component for which the discharge standard is set) among the components contained in the wastewater can be appropriately selected, for example, aggregation. Precipitation device, coagulation and pressurization levitation device, filtration device, dehydration device, aerobic biological treatment device, anaerobic biological treatment device, ion exchange device, MF membrane separation device, UF membrane separation device, RO membrane separation device, UV treatment device, ozone Examples include treatment equipment, reaction tanks, treatment water tanks, and raw water tanks. These may be used alone or in combination of two or more.

(Proposal method for lending water treatment equipment)
The method for proposing a loan of a water treatment device according to the present embodiment is, for example, a method that can be performed using the above-mentioned loan proposal system for a water treatment device. Specifically, this water treatment device rental proposal method includes a data analysis process that analyzes factor data including at least meteorological data in factory facilities, and prediction information that includes at least the submerged area predicted from the analysis results of the data analysis process. At least, considering the forecast information and the current water treatment capacity information of the water treatment equipment owned by the factory facility, the type and number of water treatment equipment required for the treatment of rainwater with a water volume exceeding the normal level. It is characterized by including a device determination process for determining the above and a loan proposal process for proposing a temporary loan of additional water treatment equipment to the person in charge of the factory facility. Since the specific operations of each step have been described above, the description thereof will be omitted here.

(Prediction system and prediction method)
The prediction system according to the present embodiment is a data analysis means for analyzing factor data including at least meteorological data in a factory facility, and a prediction means for obtaining prediction information including at least the predicted submerged area from the analysis result by the data analysis means. , It is characterized in that. Further, the prediction method according to the present embodiment is a prediction method for obtaining prediction information including at least the predicted submerged area from the data analysis step for analyzing factor data including at least meteorological data in the factory facility and the analysis result by the data analysis step. It is characterized by having a process. In the prediction system and the prediction method according to the present embodiment, the data analysis means and the data analysis step are the same as the data analysis means and the data analysis step of the above-mentioned water treatment device rental proposal system and water treatment device rental proposal method. .. Further, in the prediction system and the prediction method according to the present embodiment, the prediction means and the prediction process provide the prediction information of the device determination means and the device determination process of the above-mentioned water treatment device rental proposal system and water treatment device rental proposal method. It is the same as the means and process of obtaining. Therefore, the description here will be omitted.

The prediction results obtained by these may be used for renting a water treatment device or may be used for other purposes. When used for renting a water treatment device, an operator of a factory facility or the like may consider renting the water treatment device based on the obtained prediction result without using a computer or the like.

[2. Prediction of renewal of water treatment equipment and water treatment at the time of renewal]
The water treatment device rental proposal system according to the present embodiment includes a data analysis means for analyzing factor data including at least individual device data relating to individual use or installation of water treatment devices in a factory facility provided with a plurality of water treatment devices. From the analysis result by the data analysis means, the prediction information including at least the failure risk and the update priority of the water treatment device is obtained, and at least the prediction information and the current water treatment capacity information of the plurality of water treatment devices owned by the factory facilities are obtained. It is the responsibility of the factory facility to temporarily rent an alternative water treatment device that has the water treatment capacity equivalent to the water treatment device to be renewed and the renewal device determination means that determines the water treatment device to be renewed. It is characterized by having a loan proposal means for proposing to a person.

For example, factory facilities such as steel mills and refineries have multiple water treatment equipment, but many of these water treatment equipment are currently aging and sudden failures occur frequently. There is. When the water treatment device fails in this way, the water treatment capacity of the water treatment facility owned by the factory facility may temporarily decrease, and the amount of water that could originally be treated may not be treated. If the amount of wastewater discharged from a factory facility in a certain period exceeds the amount of water that can be stored and the amount of water that can be treated by the factory facility, the production of products will be stopped at the factory, etc. in order to reduce the wastewater. It can cause serious damage to the economic activities of the factory facility.

In order to prevent such a sudden failure, it is preferable to update the high-risk water treatment device in advance. Therefore, using the above-mentioned water treatment device rental proposal system, factor data including at least individual device data related to the individual use or installation of the water treatment device in the factory facility is analyzed in advance, and water is obtained from the analysis result. Water treatment equipment to be updated by obtaining forecast information including at least the failure risk and update priority of the treatment equipment, and at least considering the forecast information and the current water treatment capacity of multiple water treatment equipment owned by the factory facility. To determine. Then, based on this information, the person in charge of the factory facility is proposed to temporarily rent an alternative water treatment device to supplement the water treatment capacity due to the shutdown of the water treatment device to be renewed.

The "update" of the water treatment apparatus in the present embodiment includes not only updating (replacement) of the entire water treatment apparatus but also updating (replacement) of specific parts constituting the water treatment apparatus.

(Data analysis means)
The data analysis means analyzes factor data including at least individual device data relating to the individual use or installation of water treatment devices in a factory facility equipped with a plurality of water treatment devices.

Individual device data as factor data is data related to the use or equipment of individual water treatment devices. The individual device data is not particularly limited, but refers to the installation time, frequency of use, operating load (number of starts / stops (number of ON / OFF switching), continuous operation time, power consumption (index of severity in operation), etc. In addition, a method of installing a vibration meter and predicting a failure from the frequency of the vibration meter may be used.) One or more of them can be mentioned.

Further, as the factor data, in addition to the above-mentioned individual device data, it is preferable to further include general device data, wastewater data, and factory data relating to the specifications or statistical features of the water treatment device.

General equipment data relates to the specifications or statistical characteristics of each of a plurality of water treatment equipment (including the components constituting them). The general equipment data is not particularly limited, but is one of equipment specifications (for example, useful life, etc.), statistical years of use obtained from users, general failure cases provided by water treatment equipment manufacturers, and the like. The above can be mentioned.

The wastewater data relates to wastewater to be treated by each of the plurality of water treatment devices and wastewater that has been treated so far. The wastewater data is not particularly limited, but the types of wastewater (particle size, shape, concentration and hardness of suspended solids, concentration of dissolved substances, and water temperature, pH, corrosiveness and oxidizing / reducing property of wastewater). , Flow rate, flow velocity, and the like.

The factory data is not particularly limited, but the manufacturing data of the products of the factory facility (raw material items, production items, arrival quantity, shipment quantity, operation record, operation plan, quality record, trouble case, yield, manufacturing basic unit), Water treatment capacity, storage capacity of contaminated water (number and arrangement of tanks, etc.), damage information due to past disasters or outages, etc. can be mentioned. These may be used alone or in combination of two or more.

Since the specific analysis method differs for each prediction information, it will be specifically described for each prediction information in the section of the updating device determining means.

(Renewal device determination means)
The update device determining means obtains prediction information including at least the failure risk of the water treatment device and the update priority from the analysis result by the data analysis means, and at least the prediction information and the plurality of water treatment devices owned by the factory facility. The water treatment equipment to be updated is determined in consideration of the current water treatment capacity information.

As described above, the prediction information includes at least the failure risk and update priority of the water treatment device, and is predicted from the above-mentioned individual device data using IT technology and artificial intelligence (AI) technology. ..

Specifically, the failure risk of the water treatment device is predicted to be high at a predetermined time in the future by considering one or more of the installation time, the frequency of use, the operating load, etc. as factor data. At this time, one of the statistical years of use obtained from the user as general equipment data, general failure cases provided by water treatment equipment manufacturers, and the type, flow rate, flow velocity, etc. of wastewater as wastewater data. By determining the water treatment apparatus to be updated using the above, a more accurate determination can be made.

As for the renewal priority, the failure risk is predicted for each of the plurality of water treatment devices owned by the factory facility by the above-mentioned method, and the renewal priority is given in descending order of the risk.

In addition to the failure risk and update priority of the water treatment device, the prediction information includes one or more of the loss prediction information caused by the failure of the water treatment device and the benefit prediction information provided by renting an alternative water treatment device. Is preferable.

Loss prediction information is mainly the loss caused by the failure of the water treatment equipment, specifically, when the water treatment equipment currently owned by the factory facility suddenly fails or when an alternative water treatment equipment is not used. However, it includes financial loss in the case where the water discharged by the production of the factory facility cannot be treated by them (all or part of it) and the production is stopped. The loss prediction information includes, for example, the above-mentioned failure risk prediction, as well as past damage data due to the shutdown of operations in the event of a disaster (for example, data such as how long the production was stopped and how much loss occurred. ), Etc. to predict financial loss. By deciding the water treatment device to be updated in consideration of the loss prediction information, for example, the water treatment device that minimizes the loss due to a sudden failure can be updated, or the priority is taken in consideration of the magnitude of the loss. The water treatment equipment can be updated in descending order of.

The provided merit forecast information is the damage when the damage predicted as the loss forecast information may occur, and when the water treatment equipment is updated in advance and the alternative water treatment equipment is temporarily rented in advance. This is the amount of decrease in the loss forecast information, which means the loss that can be reduced by updating the water treatment equipment and lending an alternative water treatment equipment. By determining the required type and number of water treatment devices based on the provision merit prediction information in this way, for example, an alternative water treatment device that can maximize the provision merit can be rented, or the magnitude of the provision merit can be obtained. In consideration of the above, alternative water treatment equipment can be rented in descending order of priority.

It is preferable that the update device determining means collects and learns the actual results in the factory facility corresponding to the above-mentioned prediction information and feeds them back to the data analysis means.

The learning method is not particularly limited, and for example, machine learning or the like can be used. As a learning method, for example, when the prediction information differs from the actual result, the cause can be identified and corrected for it. For example, if there is an error in the factor data (for example, if the weather forecast is incorrect), the factor data can be corrected, while if there is an error in the determination method, the determination method can be corrected. can.

The number of times of learning is not particularly limited and may be once or twice or more, but the accuracy of the prediction information increases as the number of times is repeated.

(Lending proposal means)
The loan proposal means proposes to the person in charge of the factory facility a temporary loan of an alternative water treatment device having a water treatment capacity equivalent to the determined water treatment device to be renewed in the above-mentioned renewal device determination means. Is.

Here, the "responsible person of the factory facility" means a person who can judge and decide whether or not the temporary rental of the water treatment equipment is necessary in the factory facility.

Proposals to the person in charge of the factory facility may be made directly to the person in charge, or via a person who can propose to the person in charge a temporary loan of water treatment equipment (for example, an employee of such factory facility). It may be done indirectly.

As the water treatment device to be rented, a water treatment device having a water treatment capacity equivalent to that of the water treatment device to be renewed can be appropriately selected. Examples include aerobic biological treatment equipment, anaerobic biological treatment equipment, ion exchange equipment, MF membrane separation equipment, UF membrane separation equipment, RO membrane separation equipment, UV treatment equipment, ozone treatment equipment, reaction tanks, treatment water tanks, raw water tanks, and the like. .. These may be used alone or in combination of two or more.

(Proposal method for lending water treatment equipment)
The method for proposing a loan of a water treatment device according to the present embodiment is, for example, a method that can be performed using the above-mentioned loan proposal system for a water treatment device. Specifically, this loan proposal method is based on a data analysis step of analyzing factor data including at least individual device data relating to individual use or installation of water treatment devices in a factory facility equipped with a plurality of water treatment devices, and a data analysis step. From the analysis results, we obtain forecast information including at least the failure risk and update priority of water treatment equipment, and at least consider the forecast information and the current water treatment capacity information of multiple water treatment equipment owned by the factory facility. Propose to the person in charge of the factory facility the renewal device determination process to determine the water treatment device to be renewed and the temporary rental of an alternative water treatment device having the water treatment capacity equivalent to the water treatment device to be renewed. It is equipped with a loan proposal process. Since the specific operations of each step have been described above, the description thereof will be omitted here.

(Prediction system and prediction method)
The prediction system according to the present embodiment is a data analysis means for analyzing factor data including at least individual device data relating to individual use or installation of water treatment devices in a factory facility provided with a plurality of water treatment devices, and analysis by the data analysis means. It is characterized by comprising a prediction means for obtaining prediction information including at least a failure risk or update priority of a water treatment device from the result. Further, the prediction method according to the present embodiment includes a data analysis step for analyzing factor data including at least individual device data relating to individual use or installation of water treatment devices in a factory facility provided with a plurality of water treatment devices, and a data analysis step. It is characterized by including a prediction process for obtaining prediction information including at least the failure risk and update priority of the water treatment apparatus from the analysis result according to the above. In the prediction system and the prediction method according to the present embodiment, the data analysis means and the data analysis step are the same as the data analysis means and the data analysis step of the above-mentioned water treatment device rental proposal system and water treatment device rental proposal method. .. Further, in the prediction system and the prediction method according to the present embodiment, the prediction means and the prediction process provide the prediction information of the device determination means and the device determination process of the above-mentioned water treatment device rental proposal system and water treatment device rental proposal method. It is the same as the means and process of obtaining. Therefore, the description here will be omitted.

The prediction results obtained by these may be used for renting a water treatment device or may be used for other purposes. When used for renting a water treatment device, an operator of a factory facility or the like may consider renting the water treatment device based on the obtained prediction result without using a computer or the like.

[3. Wastewater treatment at factory facilities that manufacture products whose demand fluctuates from season to season]
The water treatment equipment rental proposal system according to the present embodiment is a data analysis means for analyzing factor data including at least past wastewater data in the product manufacturing equipment owned by a factory facility that manufactures products whose demand fluctuates from time to time. And, from the analysis result by the data analysis means, the forecast information including at least the water quality of the wastewater discharged from the manufacturing equipment owned by the factory facility and the optimum treatment method for treating the wastewater is obtained, and at least the forecast information and the factory. Additional equipment determination means and additional water treatment to determine the type and number of additional water treatment equipment required at different times, taking into account the current water treatment capacity information of the water treatment equipment owned by the facility. It is characterized in that it is provided with a loan proposal means for proposing a temporary loan of equipment to the person in charge of the factory facility.

For example, the demand for noodles for convenience stores fluctuates greatly from season to season. In summer, sales of so-called cold noodles such as udon, soba, and chilled Chinese noodles will increase. The wastewater discharged from the production of this cold noodle has a large amount of water, but the amount of oil in it is small. On the other hand, sales of ramen will increase in winter. The amount of wastewater discharged from the production of this ramen is small, but the amount of oil in it is large.

In addition, for example, the demand for chocolate for Valentine's Day will increase in January and February, and the demand for Christmas cake will increase in December, and the confectionery makers will manufacture products accordingly, so they will be discharged from there. The amount and properties of wastewater are also different.

As described above, there are many products in which the demand fluctuates depending on the season, and the type and amount of wastewater produced at the factory facility also fluctuates accordingly, and the amount and properties of wastewater discharged by the production fluctuate accordingly. In the above example, the example of food was explained, but other things such as leisure (operated only in summer such as pool water), civil engineering work (generation of muddy water including soil dug only during construction period), agricultural drainage (equivalent to food), etc. This is a phenomenon seen in various products.

The fact that the amount and properties of wastewater discharged from a specific factory facility fluctuate depending on the time means that the type and number of water treatment devices required for the specific factory facility fluctuate depending on the time. do.

However, in order to secure the water treatment capacity for the load of wastewater discharged at each maximum demand period, it is cost-effective to equip the water treatment equipment with a capacity exceeding the capacity required for normal economic activities. Is not preferable. Therefore, using the above-mentioned water treatment equipment rental proposal system, factor data including at least past wastewater data discharged from the manufacturing equipment of the product owned by the factory facility is analyzed in advance, and from the analysis result. Obtain forecast information including at least the quality of wastewater discharged from manufacturing equipment owned by the factory facility and the optimum treatment method for treating the wastewater, and at least the forecast information and the current water treatment of the water treatment equipment owned by the factory. Consider capacity to determine the type and number of additional water treatment equipment needed at different times. Then, based on this information, a temporary loan of water treatment equipment is proposed to the person in charge of the factory facility.

(Data analysis means)
The data analysis means analyzes factor data including at least past wastewater data in a factory facility having a manufacturing apparatus for manufacturing a product whose demand fluctuates from time to time.

Past wastewater data as factor data is wastewater data for a certain period of time or season of such a factory. The past wastewater data is not particularly limited, but the amount of wastewater, water quality (property and substance concentration that may affect the treatment performance in water treatment), discharge regulation value, operating condition of wastewater treatment equipment (aeration amount, DO, chemical injection amount, pH, etc.), 1 or more of the generated sludge amount, etc. can be mentioned.

Further, as the factor data, it is preferable to further include any one or more of the meteorological data in the trade area of the factory, the current manufacturing data in the factory, and the past manufacturing data in the factory, in addition to the past wastewater data described above.

Meteorological data is data related to the weather in the trade area of such a factory, and is effective for manufacturing products whose demand fluctuates due to the influence of the weather (for example, temperature and weather), such as the above-mentioned convenience store noodles. be. Meteorological data includes weather forecasts based on meteorological satellite data, precipitation based on GSMAP (sanitary global precipitation map), precipitation probability based on WBGT (heat index), and data on past and present water risks (snowfall, rain cloud radar). , Maximum temperature, minimum temperature, humidity, wind direction, wind speed, sunshine time, seawater temperature), tsunami based on SYNOP (ground live weather report), typhoon, wave, thunder, heavy rain and warning about tornado, etc. Can be mentioned.

The current manufacturing data in the factory or the past manufacturing data in the factory includes the type and number of products currently manufactured or manufactured in the past in the factory, and the operating status of the manufacturing line (ON / OFF frequency and continuous operation). Time, etc.), etc., 1 or more.

Since the specific analysis method differs for each prediction information, it will be specifically described for each prediction information in the section of additional device determining means.

(Means for determining additional equipment)
The additional device determining means obtains predictive information including at least the water quality of the wastewater discharged from the manufacturing device owned by the factory facility and the optimum treatment method for treating the wastewater from the analysis result by the above-mentioned data analysis means, and at least. , Forecast information, and the current water treatment capacity information of the water treatment equipment owned by the factory facility, to determine the type and number of additional water treatment equipment required at different times.

As mentioned above, the prediction information includes at least the quality of wastewater discharged from the manufacturing equipment and the optimum treatment method for treating the wastewater, and from the above-mentioned past wastewater data, IT technology and artificial intelligence (AI). It is predicted using technology.

The quality of wastewater discharged from such factories includes the amount of wastewater as past wastewater data, water quality (property and substance concentration that can affect treatment performance in water treatment), discharge regulation values, and operation of wastewater treatment equipment. Prediction is made in consideration of one or more of the conditions (aeration amount, DO, chemical injection amount, pH, etc.), generated sludge amount, and the like. For example, if a product similar to the same period in the past is produced, the amount and quality of wastewater can be the same as the same period in the past. At this time, one or more of the weather data in the trade area of the factory, the current manufacturing data in the factory, the past manufacturing data in the factory, etc. are used to determine the type and number of water treatment equipment required when the time changes. By doing so, a more accurate decision can be made.

The optimum treatment method for treating the wastewater can be determined in consideration of the water quality of the wastewater discharged from the factory predicted as described above.

(Proposal method for lending water treatment equipment)
The method for proposing a loan of a water treatment device according to the present embodiment is, for example, a method that can be performed using the above-mentioned loan proposal system for a water treatment device. Specifically, this water treatment equipment rental proposal method includes a data analysis process that analyzes factor data including at least past wastewater data at a factory facility that owns a manufacturing equipment that manufactures products whose demand fluctuates from time to time. From the analysis results of the data analysis process, the forecast information including at least the water quality of the wastewater discharged from the manufacturing equipment owned by the factory facility and the optimum treatment method for treating the wastewater is obtained, and at least the forecast information and the factory facility A device determination process to determine the type and number of additional water treatment devices required at different times, taking into account the current water treatment capacity information of the water treatment equipment in possession, and temporary additional water treatment equipment. It is characterized by having a lending proposal process for proposing a typical lending to the person in charge of the factory facility. Since the specific operations of each step have been described above, the description thereof will be omitted here.

(Prediction system and prediction method)
The prediction system according to the present embodiment is a data analysis means for analyzing factor data including at least past wastewater data in a product manufacturing apparatus owned by a factory facility that manufactures a product whose demand fluctuates from time to time, and a data analysis means. It is provided with a prediction means for obtaining prediction information including at least the water quality of the wastewater discharged from the manufacturing equipment owned by the factory facility and the optimum treatment method for treating the wastewater from the analysis result by the above. Further, the prediction method according to the present embodiment includes a data analysis process for analyzing factor data including at least past wastewater data in a product manufacturing apparatus owned by a factory facility that manufactures products whose demand fluctuates from time to time, and data. It is characterized by including a prediction process for obtaining prediction information including at least the optimum treatment method for treating the water quality and the wastewater discharged from the manufacturing equipment owned by the factory facility from the analysis result by the analysis process. Is. In the prediction system and the prediction method according to the present embodiment, the data analysis means and the data analysis step are the same as the data analysis means and the data analysis step of the above-mentioned water treatment device rental proposal system and water treatment device rental proposal method. .. Further, in the prediction system and the prediction method according to the present embodiment, the prediction means and the prediction process provide the prediction information of the device determination means and the device determination process of the above-mentioned water treatment device rental proposal system and water treatment device rental proposal method. It is the same as the means and process of obtaining. Therefore, the description here will be omitted.

The prediction results obtained by these may be used for renting a water treatment device or may be used for other purposes. When used for renting a water treatment device, an operator of a factory facility or the like may consider renting the water treatment device based on the obtained prediction result without using a computer or the like.

[4. Wastewater treatment when cleaning sediment in storage tank or settling tank]
The water treatment device rental proposal system according to the present embodiment is a data analysis means for analyzing factor data including at least inflow / outflow data in the storage tank or settling tank in a factory facility provided with a storage tank or settling tank, and a data analysis means. Prediction information including at least the amount of sediment generated in the storage tank or the settling tank and the optimum treatment method for treating the washing wastewater generated by washing the sediment is obtained, and at least the prediction information and the factory facility are obtained. In consideration of the current water treatment capacity information of the water treatment equipment owned by the company, additional equipment determination means for determining the additional water treatment equipment required and temporary rental of the additional water treatment equipment are provided for the factory facilities. It is characterized by having a loan proposal means to propose to the person in charge.

Sediments are deposited at the bottom of the storage tank for storing various types of water and solutions, and the settling tank used for coagulating and precipitating suspended solids in sewage. In order to maintain the function of these tanks, the sediment needs to be removed at least when a certain amount has been deposited. When removing this precipitate, a large amount of wash water for washing these tanks is discharged, so that the wash water temporarily exceeds the water treatment capacity that the factory facility has for normal economic activities. May need to be processed.

Cleaning of such tanks usually involves renting a fixed type and amount of water treatment equipment on a regular basis at approximately regular intervals, regardless of the amount of sediment inside, or the water treatment of such factory facilities. We are adjusting the availability of equipment. However, when the amount of sediment deposited in a predetermined period is larger than usual, an unexpectedly large amount of water treatment may be required.

However, if water treatment equipment is provided in excess of the amount required for normal economic activities in order to secure water treatment capacity in case of such an unforeseen situation, costs such as maintenance and storage space will increase, and it will not be possible. It is economical. It should be noted that the amount of sediment deposited in a predetermined period is smaller than usual, and cleaning may not always be necessary at that time, which is also uneconomical. Therefore, factor data including at least the optimum treatment method for treating the amount of sediment generated in the storage tank or the settling tank and the washing wastewater generated by cleaning the sediment using the above-mentioned water treatment equipment rental proposal system. To obtain predictive information including at least the failure risk and update priority of water treatment equipment, and determine the required type and number of water treatment equipment, at least based on the forecast information and the water treatment capacity of the factory facility. .. Then, based on this information, a temporary loan of water treatment equipment is proposed to the person in charge of the factory facility.

(Data analysis means)
The data analysis means analyzes factor data including at least inflow / outflow data in a storage tank or a settling tank in a factory facility equipped with a storage tank or a settling tank.

The inflow / outflow water data in the storage tank or the settling tank as the factor data is the data on the inflow water and the outflow water of the water stored in the storage tank or the water to be settled in the settling tank. The inflow / outflow data is not particularly limited, but the chemical species of suspended solids contained in the inflow and outflow water, the concentration of suspended solids, the amount of inflow / outflow water, the shape in the storage tank, the effective volume of the storage tank, and the storage tank. One or more of the residence time of the inflow water in the storage tank, the flow velocity distribution in the storage tank, the temperature distribution in the storage tank, and the like can be mentioned.

Further, as the factor data, in addition to the above-mentioned inflow / outflow data, it is preferable to further include any one or more of the specification information data of the storage tank or the settling tank and the cleaning data of the past sediment.

The specification information data of the storage tank or the settling tank is the data related to the specifications of the storage tank or the settling tank. The specification information data of the storage tank or the settling tank is not particularly limited, but includes one or more of the shape of the tank, the size of the tank, the residence time of the inflow water, the flow velocity distribution in the tank, and the like.

Cleaning data of past sediments includes the amount, chemical species, water content, and cleaning of sediments (sludge, etc.) accumulated inside the storage tank or sedimentation tank in the past during a specific period of the storage tank or sedimentation tank. One or more of the amount of cleaning wastewater generated for this purpose can be mentioned.

Since the specific analysis method differs for each prediction information, it will be specifically described for each prediction information in the section of additional device determining means.

(Means for determining additional equipment)
From the analysis result by the above-mentioned data analysis means, the additional device determining means provides predictive information including at least the amount of sediment generated in the storage tank or the settling tank and the optimum treatment method for treating the washing wastewater generated by washing the sediment. At the same time, at least the forecast information and the current water treatment capacity information of the water treatment equipment owned by the factory facility are taken into consideration to determine the additional water treatment equipment required.

As described above, the prediction information includes at least the amount of sediment generated in the storage tank or the settling tank and the optimum treatment method for treating the washing wastewater generated by washing the sediment, and the above-mentioned inflow / outflow data. Therefore, it is predicted by using IT technology and artificial intelligence (AI) technology.

The amount of deposits generated in the storage tank or settling tank is predicted in consideration of the chemical species of suspended solids contained in the inflow and outflow data as inflow / outflow data, the concentration of suspended solids, the amount of water, and the like. Specifically, the amount of sediment deposited in the storage tank or the settling tank can be predicted from the quantitative relationship between the chemical species of the suspended solid, the concentration of the suspended solid, and the amount of inflow and outflow water.

In addition, the optimum treatment method for treating the washing wastewater can be specified in consideration of the chemical species of the substances to be treated (suspended solids, organic substances, heavy metals, etc.) contained in the inflow water and the outflow water, their amounts and their concentrations. .. If any chemical reaction may occur with respect to the suspended solids contained in the inflow water, the chemical change due to the chemical reaction may be taken into consideration.

According to the above-mentioned water treatment equipment rental proposal system, the amount of sediment can be predicted, so that the timely timing for cleaning the storage tank or the settling tank can also be predicted. As a result, the cleaning cost can be reduced.

(Proposal method for lending water treatment equipment)
The method for proposing a loan of a water treatment device according to the present embodiment is, for example, a method that can be performed using the above-mentioned loan proposal system for a water treatment device. Specifically, this water treatment device rental proposal method includes a data analysis step for analyzing factor data including at least inflow / outflow data in the storage tank or settling tank in a factory facility equipped with a storage tank or settling tank, and a data analysis step. Prediction information including at least the amount of sediment generated in the storage tank or the settling tank and the optimum treatment method for treating the washing wastewater generated by washing the sediment is obtained, and at least the prediction information and the factory facility are obtained. It is the responsibility of the factory facility to take into account the current water treatment capacity information of the water treatment equipment owned by the company, the equipment determination process to determine the additional water treatment equipment required, and the temporary rental of the additional water treatment equipment. It is characterized by having a lending proposal process for proposing to a person. Since the specific operations of each step have been described above, the description thereof will be omitted here.

(Prediction system and prediction method)
The prediction system according to the present embodiment is based on data analysis means for analyzing factor data including at least inflow / outflow data in the storage tank or settling tank in a factory facility provided with a storage tank or settling tank, and analysis results by the data analysis means. It is characterized by comprising a prediction means for obtaining prediction information including at least an optimum treatment method for treating the amount of sediment generated in the storage tank or the settling tank and the washing wastewater generated by washing the sediment. Further, the prediction method according to the present embodiment includes a data analysis step for analyzing factor data including at least inflow / outflow data in the storage tank or settling tank in a factory facility provided with a storage tank or settling tank, and an analysis result by the data analysis step. It is provided with a prediction step of obtaining prediction information including at least an optimum treatment method for treating the amount of sediment generated in the storage tank or the settling tank and the washing wastewater generated by washing the sediment. In the prediction system and the prediction method according to the present embodiment, the data analysis means and the data analysis step are the same as the data analysis means and the data analysis step of the above-mentioned water treatment device rental proposal system and water treatment device rental proposal method. .. Further, in the prediction system and the prediction method according to the present embodiment, the prediction means and the prediction process provide the prediction information of the device determination means and the device determination process of the above-mentioned water treatment device rental proposal system and water treatment device rental proposal method. It is the same as the means and process of obtaining. Therefore, the description here will be omitted.

The prediction results obtained by these may be used for renting a water treatment device or may be used for other purposes. When used for renting a water treatment device, an operator of a factory facility or the like may consider renting the water treatment device based on the obtained prediction result without using a computer or the like.

Claims (27)

Data analysis means for analyzing factor data including at least meteorological data in factory facilities,
From the analysis result by the data analysis means, the prediction information including at least the predicted submerged area is obtained, and at least the prediction information and the current water treatment capacity information of the water treatment apparatus owned by the factory facility are taken into consideration. With additional equipment determination means to determine the type and number of additional water treatment equipment required for rainwater treatment of water volumes above normal levels,
It is provided with a loan proposal means for proposing a temporary loan of the additional water treatment device to the person in charge of the factory facility.
Water treatment equipment rental proposal system. The water treatment device rental proposal system according to claim 1, wherein the factor data further includes geographic data and factory data. The loan proposal system for a water treatment device according to claim 1 or 2, wherein the forecast information further includes loss forecast information caused by flooding and benefit forecast information provided by lending. The water treatment device rental proposal system according to claim 1, 2 or 3, wherein the additional device determination means further considers water treatment record information of other factory facilities. The water treatment according to any one of claims 1 to 4, wherein the additional device determining means collects and learns an actual result in the factory facility corresponding to the prediction information and feeds it back to the data analysis means. Equipment rental proposal system. A data analysis means for analyzing factor data including at least individual device data relating to the individual use or installation of the water treatment device in a factory facility equipped with a plurality of water treatment devices.
From the analysis result by the data analysis means, the prediction information including at least the failure risk and the update priority of the water treatment device is obtained, and at least the prediction information and the current state of the plurality of water treatment devices owned by the factory facility are obtained. Renewal device determination means for determining the water treatment device to be updated in consideration of the water treatment capacity information of
It is provided with a lending proposal means for proposing a temporary lending of an alternative water treatment device having a water treatment capacity equivalent to the water treatment device to be renewed to the person in charge of the factory facility.
Water treatment equipment rental proposal system. The water treatment device lending proposal system according to claim 6, wherein the factor data further includes general device data and wastewater data relating to the specifications or statistical features of the water treatment device. The water treatment device lending proposal system according to claim 6 or 7, wherein the prediction information further includes loss prediction information caused by a failure of the water treatment device and provision merit prediction information by lending. The water treatment device rental proposal system according to claim 6, 7 or 8, which collects and learns actual results in the factory facility corresponding to the prediction information and feeds them back to the data analysis means. A data analysis means for analyzing factor data including at least past wastewater data in the manufacturing equipment of the product owned by a factory facility that manufactures a product whose demand fluctuates from time to time.
From the analysis result by the data analysis means, prediction information including at least the water quality of the wastewater discharged from the manufacturing apparatus owned by the factory facility and the optimum treatment method for treating the wastewater is obtained, and at least the prediction information is obtained. , And additional equipment determining means for determining the type and number of additional water treatment equipment required when the time changes, taking into account the current water treatment capacity information of the water treatment equipment owned by the factory facility. ,
It is provided with a loan proposal means for proposing a temporary loan of the additional water treatment device to the person in charge of the factory facility.
Water treatment equipment rental proposal system. The water treatment device rental proposal system according to claim 10, wherein the factor data further includes meteorological data at the factory facility, current manufacturing data at the factory facility, and past manufacturing data at the factory facility. The water treatment device rental proposal system according to claim 10 or 11, which collects and learns actual results in the factory facility corresponding to the prediction information and feeds them back to the data analysis means. A data analysis means for analyzing factor data including at least inflow / outflow data in the storage tank or settling tank in a factory facility equipped with a storage tank or settling tank, and a data analysis means.
From the analysis result by the data analysis means, predictive information including at least the amount of sediment generated in the storage tank or the settling tank and the optimum treatment method for treating the washing wastewater generated by washing the sediment is obtained, and at least the above. Additional device determination means for determining the required additional water treatment device in consideration of the prediction information and the current water treatment capacity information of the water treatment device owned by the factory facility.
It is provided with a loan proposal means for proposing a temporary loan of the additional water treatment device to the person in charge of the factory facility.
Water treatment equipment rental proposal system. The lending proposal system for a water treatment apparatus according to claim 13, wherein the factor data further includes specification information data of the storage tank or the settling tank and cleaning data of past sediments. The water treatment device rental proposal system according to claim 13 or 14, which collects and learns actual results in the factory facility corresponding to the prediction information and feeds them back to the data analysis means. A data analysis process that analyzes factor data including at least meteorological data in factory facilities,
From the analysis result by the data analysis step, the prediction information including at least the predicted submerged area is obtained, and at least the prediction information and the current water treatment capacity information of the water treatment apparatus owned by the factory facility are taken into consideration. A device determination process that determines the type and number of water treatment devices required for rainwater treatment of water volumes above normal levels,
A loan proposal process that proposes a temporary loan of the additional water treatment equipment to the person in charge of the factory facility, and
Proposal method for lending water treatment equipment. A data analysis step for analyzing factor data including at least individual device data relating to the individual use or installation of the water treatment device in a factory facility equipped with a plurality of water treatment devices.
From the analysis result by the data analysis step, the prediction information including at least the failure risk and the update priority of the water treatment device is obtained, and at least the prediction information and the current state of the plurality of water treatment devices owned by the factory facility are obtained. The renewal device determination step of determining the water treatment device to be updated in consideration of the water treatment capacity information of
A lending proposal process for proposing a temporary lending of an alternative water treatment device having a water treatment capacity equivalent to the water treatment device to be renewed to the person in charge of the factory facility is provided.
Proposal method for lending water treatment equipment. A data analysis process that analyzes factor data including at least past wastewater data in the manufacturing equipment of the product owned by a factory facility that manufactures products whose demand fluctuates from time to time.
From the analysis result by the data analysis step, prediction information including at least the water quality of the wastewater discharged from the manufacturing apparatus owned by the factory facility and the optimum treatment method for treating the wastewater is obtained, and at least the prediction information is obtained. , And the equipment determination process to determine the type and number of additional water treatment equipment required when the time changes, taking into account the current water treatment capacity information of the water treatment equipment owned by the factory facility.
A loan proposal process for proposing a temporary loan of the additional water treatment device to the person in charge of the factory facility is provided.
Proposal method for lending water treatment equipment. A data analysis step for analyzing factor data including at least inflow / outflow data in the storage tank or settling tank in a factory facility equipped with a storage tank or settling tank, and a data analysis step.
From the analysis result by the data analysis step, predictive information including at least the amount of sediment generated in the storage tank or the settling tank and the optimum treatment method for treating the washing wastewater generated by washing the sediment is obtained, and at least the above. A device determination process for determining additional water treatment equipment required, taking into account the forecast information and the current water treatment capacity information of the water treatment equipment owned by the factory facility.
A loan proposal process for proposing a temporary loan of the additional water treatment device to the person in charge of the factory facility is provided.
Proposal method for lending water treatment equipment. Data analysis means for analyzing factor data including at least meteorological data in factory facilities,
It is provided with a prediction means for obtaining prediction information including at least the predicted flooded area from the analysis result by the data analysis means.
Prediction system. A data analysis means for analyzing factor data including at least individual device data relating to the individual use or installation of the water treatment device in a factory facility equipped with a plurality of water treatment devices.
A prediction means for obtaining prediction information including at least a failure risk or update priority of the water treatment apparatus from the analysis result by the data analysis means.
Prediction system. A data analysis means for analyzing factor data including at least past wastewater data in the manufacturing equipment of the product owned by a factory facility that manufactures a product whose demand fluctuates from time to time.
It is provided with a prediction means for obtaining prediction information including at least the quality of wastewater discharged from the manufacturing apparatus owned by the factory facility and the optimum treatment method for treating the wastewater from the analysis result by the data analysis means.
Prediction system. A data analysis means for analyzing factor data including at least inflow / outflow data in the storage tank or settling tank in a factory facility equipped with a storage tank or settling tank, and a data analysis means.
From the analysis result by the data analysis means, a prediction means for obtaining prediction information including at least the amount of sediment generated in the storage tank or the settling tank and the optimum treatment method for treating the washing wastewater generated by washing the sediment. Prediction system to prepare. A data analysis process that analyzes factor data including at least meteorological data in factory facilities,
It includes a prediction step of obtaining prediction information including at least the predicted submerged area from the analysis result by the data analysis step.
Prediction method. A data analysis step for analyzing factor data including at least individual device data relating to the individual use or installation of the water treatment device in a factory facility equipped with a plurality of water treatment devices.
A prediction step of obtaining prediction information including at least the failure risk and update priority of the water treatment apparatus from the analysis result of the data analysis step.
To prepare
Prediction method. A data analysis process that analyzes factor data including at least past wastewater data in the manufacturing equipment of the product owned by a factory facility that manufactures products whose demand fluctuates from time to time.
A prediction step for obtaining prediction information including at least the quality of wastewater discharged from the manufacturing apparatus owned by the factory facility and the optimum treatment method for treating the wastewater from the analysis result by the data analysis step is provided.
Prediction method. A data analysis step for analyzing factor data including at least inflow / outflow data in the storage tank or settling tank in a factory facility equipped with a storage tank or settling tank, and a data analysis step.
From the analysis result by the data analysis step, a prediction step of obtaining prediction information including at least the amount of sediment generated in the storage tank or the settling tank and the optimum treatment method for treating the washing wastewater generated by washing the sediment tank. Prepare, prepare
Prediction method.