JP2000126749A - System for recycle treatment control and method therefor - Google Patents

Abstract

PROBLEM TO BE SOLVED: To enable an instant response to a demand of data presentation from an outside by successively grasping treatment status by obtaining treatment data of a to-be-treated object and inputting the treatment data to a data base for each treatment in a system performing a series of treatments from arrival to shipment. SOLUTION: An input section 1 inputs data to a data base 8 and is provided with a portable terminal device 100m, a bar code reader 100n and the like. A weight measurement section 2 is provided with a loading bay 200m or the like. Further, an arithmetic and logic section 3 carries out arithmetic operations of addition, subtraction, multiplication and division and the like on weight data and a load handling time measurement section 4 and a dismantling time measurement section 5 respectively measure time required for handling loads and time required for manual dismantling, and a post-manual-dismantling weight measurement section 6 and a power measurement section 7 are respectively measure weight of waste after manual dismantling and power of a factory. An output section 9 outputs each data stored in the data base 8, and in the concrete, a printer 1000f, a display 1000b or the like is provided.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to the recycling of home appliances or automobiles, and more particularly to the ability to grasp the status of recycling and to respond immediately when external data is requested. The present invention relates to a recycling processing management system and a recycling processing management method capable of providing data useful for calculating a detailed recycling rate and drafting an operation plan of a recycling factory.

[0002]

2. Description of the Related Art FIG. 16 is a flowchart showing an example of the flow of processing in a conventional automobile recycling factory.
In recycling an automobile, a used automobile is first carried into a recycling factory (step S101).
Thereafter, a shredder crushing process is performed (step S1).
02), further, a wind selection process (wind separator) is performed (step S103). Then, the dust generated in the shredder crushing process and the wind selection process is carried to the dust process (cyclone) (step S104).

[0003] Then, the waste is separated into ferrous and non-ferrous by a magnetic separation process (magnetic force separator) (step S10).
5). And iron is extracted as a recycle. Thereafter, the non-ferrous metal is separated into the non-ferrous metal and the shredder dust by the non-ferrous metal magnetic separation process (step S10).
6). Then, the non-ferrous metal is extracted as a recycled material, but the shredder dust is landfilled (step S107).

[0004] In a recycling plant having such a configuration, through the above-described plurality of steps, iron, non-ferrous metals such as aluminum and copper, glass, foamed urethane and fiber, resin and rubber, etc. are crushed and sorted. Is extracted. Of these, metals have been mainly recycled.

[0005] Conventionally, there has been no obligation to report the status of the recycling process in a recycling plant even if the status is inquired by another organization, and no periodic audit has been performed. For this reason, how much was extracted as recycled material was not recorded as data, nor was the recycling rate calculated.

[0006] In addition, there are some recycling factories that take part of the data, but the data is summarized in a long time span, and is not, for example, collected in detail as manufacturer-specific or model-specific data.

[0007] Further, in the conventional waste disposal, a method has been employed in which a manifest slip shows who is responsible and how the waste was disposed of. FIG. 17 is an explanatory diagram showing an example of a conventional data management and providing method using a manifest slip. The manifest slip consisting of four sheets, A to D, describes the type, name, shape, quantity, presence or absence of harmful substances, etc.
It is handed over to the collection and transport company along with the waste. collection·
The carrier will be A
Or, enter the date and time in the D form and return the A form to the discharger.

[0008] The discharger keeps the A slip as a record. Sheets B to D are handed over to waste treatment companies for final disposal such as sorting and collection of useful materials, energy recovery, detoxification, volume reduction, reduction to raw materials, landfill, and ocean dumping. At the point of receiving the waste from the collection / transporter, the disposal company writes the date and time of acceptance in the B or D form, and returns the B form to the collection / transporter.

[0009] The collection and transportation company keeps the B-sheet as a record. When the waste disposal is completed, the waste treatment company will
The date and time are described in the form, the form C is kept as a record, and the form D is sent to the discharger. The discharger can confirm that the disposal of the waste is completed at the time of receiving the D form.

[0010]

Conventionally, each discharge company is obliged to report the result of the treatment of industrial waste to a prefecture or a local government, but the conventional data management and provision method using a manifest slip is required. Therefore, the discharge company cannot confirm the progress of processing the requested waste until all the processing is completed and the D-sheet is returned, and all the processing performed by the processing company is not possible. There was a problem that the data of the stage could not be managed and provided.

[0011] In recent years, for example, from 2001, the "Recycling of Home Appliances Law" (so-called home appliance recycling) is scheduled to be enforced. Under the Home Appliance Recycling Law, there is an obligation to report on waste disposal more thoroughly and to respond immediately when the government, municipalities, dischargers, retailers, etc. ask about the status of recycling. For this reason, it is necessary for a processing company or the like who performs the recycling process to grasp the processing status of the waste sequentially.

For example, in the case where recycling is performed in cooperation with a maker in order to take out reusable parts in the waste and return it to the maker, the number of specified models specified by the maker is specified. It is necessary to disassemble by the disassembly method and collect the returned product and deliver it by the designated time, or deliver the required amount of valuable materials such as plastics obtained after the crushing and sorting process by the designated time. In order to process these things without delay, it is still necessary to grasp the state of waste disposal.

[0013] Further, conventionally, waste disposal companies
It is common practice to undertake the disposal of many types of waste, such as multiple types of waste and waste from multiple manufacturers, and collectively treat these multiple wastes. Which treatment stage is in the waste treatment plant,
Or, it was not possible to know how much useful material came out of the individual waste requested and how much was reduced to raw materials.

According to the Recycling Law enforced in 2001, home electric appliance manufacturers are obliged to recycle home electric appliances. It is necessary to know the status of the recycling process. Furthermore, the recycling rate of home electric appliances is required to be higher than a certain value, and it is necessary for each home electric appliance manufacturer to obtain data that is the basis for calculating the recycling rate of waste home electric appliances.

[0015] In this case, at a recycling plant that undertakes recycling of a plurality of types of home appliances and home appliances of a plurality of manufacturers, the above situation cannot be reported to each home appliance manufacturer, and the recycling factory is operated. It will cause trouble.

The present invention has been made in order to solve the above-mentioned problems toward the Home Appliance Recycling Law, and it is possible to grasp the status of the recycling process one by one, and to request data presentation from outside. It is a first object of the present invention to provide a recycling processing management system and a recycling processing management method that can provide an immediate response.

A second object of the present invention is to provide a recycling processing management system and a recycling processing management method capable of efficiently extracting data serving as a basis for calculating a recycling rate of an object to be recycled. And

It is a third object of the present invention to provide a recycling management system and a recycling management method capable of providing data useful for assisting the operation plan of a recycling factory.

[0019]

SUMMARY OF THE INVENTION A recycling processing management system according to the present invention is a recycling processing management system applied to a recycling processing factory for performing a series of plural processes from arrival of a processing object to shipment. A data acquisition unit configured to acquire processing data related to the processing object when each of the plurality of processes is performed on the processing object; and processing the processing data acquired by the data acquiring unit into the plurality of processing data. And input means for inputting the data into the database each time is performed.

Further, when there is a request for output of the processing data inputted to the database, there may be provided an output means for outputting the processing data requested for output from the database.

When there is an output request for the processing status of the processing object, an output means for outputting the processing status of the processing object for which the output request has been made, based on the processing data input to the database, May be provided.

Further, the processing data may include a processing time at which each of the plurality of processes is performed on the processing object.

Further, the processing data may include a processing time required for performing each of the plurality of processes on the processing object.

[0024] The plurality of processes may include an arrival process at which the recycling plant accepts the object to be processed, and the data acquisition means may include an arrival process including a manifest created for the object to be processed. Acquisition data related to is obtained as the processing data, the input means,
The process data corresponding to each of the plurality of processes may be input to the database in association with the manifest.

Further, the plurality of processes include an arrival process at which the recycling plant accepts the object to be processed, and the data acquisition means includes an arrival process including a manifest created for the object to be processed. Acquisition data related to is obtained as the processing data, the input means,
Receiving slip data corresponding to the arrival processing may be created based on the arrival data and input to the database.

[0026] Further, there may be provided an output means for printing out a paper reception slip displaying the reception slip data.

Further, the plurality of processes include an unloading process for unloading the object to be processed from a vehicle that has carried the object to be processed, and the data acquisition means includes a process for unloading the object to be processed during the unloading process. Weight data representing the weight of an object may be obtained as the processing data.

Further, the plurality of processes include a handling process in which the objects to be processed are distributed in lot units, and the data acquisition means acquires handling data related to the handling process as the processing data. The input means may input the processed data to the database in association with each corresponding lot at each process after the handling process including the handling process.

Further, the input means may be configured to create, based on the handling data, handling handling slip data corresponding to handling handling for each lot and to input the handling handling slip data to the database.

Further, the apparatus may have output means for printing out a paper handling slip displaying the handling slip data.

Further, the handling data may include handling time data indicating a handling time required for the handling processing of the object.

Further, the plurality of processes include a disassembly process in which the object to be processed is disassembled, and the data obtaining means includes:
The processing object may acquire dismantling processing time data representing the dismantling processing time required for the dismantling processing as the processing data.

In addition, the plurality of processes include a crushing and sorting process in which the object to be processed is crushed and sorted by material to take out the object to be processed as a crushed product to be taken out for shipment. The crushed product data on the crushed product may be acquired as the processing data.

[0034] The input means may create shipping slip data of the crushed product for each predetermined shipping unit based on the crushed product data and input the data to the database.

The plurality of processes may include a dismantling process in which the object to be processed is disassembled before the crushing and sorting process, and a part of the object to be processed is removed as a non-crushed product to be shipped without being subjected to the crushing process. The data acquisition means may be configured to acquire non-crushed product data relating to the non-crushed product as the processing data.

[0036] The input means may create shipping slip data of the non-crushed product for each predetermined shipping unit based on the non-crushed product data and input the data into the database.

[0037] Further, there may be provided output means for printing out a paper shipping slip displaying the shipping slip data.

Further, the apparatus may be provided with a recycle rate calculating means for calculating a recycle rate of the object to be processed based on the process data input to the database.

[0039] Further, it may include an operation plan calculating means for calculating an operation plan of the recycling processing plant based on the processing data input to the database.

The plurality of processes include a dismantling process for dismantling the object to be processed and a crushing process for crushing the object to be processed after the dismantling process. At least one of the number of personnel and the planned operation time may be calculated based on the processing data input to the database and the capacity of the crusher used for the crushing process.

[0041] Further, there is provided prediction means for predicting a future arrival amount of the processing object brought into the recycling processing plant based on the processing data input to the database, and the operation plan calculation means includes: The operation plan of the recycling plant may be created based on the prediction result of the prediction unit.

[0042] Further, there is provided prediction means for predicting a future electric energy to be used in the recycling processing plant based on the processing data input to the database, and the operation plan calculation means includes a prediction result of the prediction means. Based on the above, an operation plan of the recycling plant may be created.

The recycling processing management method according to the present invention comprises:
In a recycling processing management method applied to a recycling processing factory that performs a series of multiple processes from arrival of a processing object to shipping, when performing each of the plurality of processes on the processing object, A data acquisition step of acquiring processing data relating to the processing object, an inputting step of inputting the processing data acquired by the data acquisition means to a database each time the plurality of processes are performed, A processing status output step of outputting the processing status of the requested processing object based on the processing data input to the database when a request for output of the processing status is issued. Is what you do.

[0044]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS FIG. 1 is a diagram showing a device configuration of a recycling processing management system according to the present invention. A plurality of database management computers 1000 are provided in a recycling factory that employs this recycling processing management system. The database management computer 1000 is
00a, a CRT 1000b, and a keyboard 1000c, and a track scale 1000d, a handy terminal receiving unit 1000e, and a printer 1000f are connected.

The truck scale 1000d is a huge scale capable of measuring the weight of a truck with a load placed thereon. In addition, the handy terminal receiving unit 10
Reference numeral 00e denotes a receiving unit that receives data from various input devices described below that can read a barcode or the like by wireless transmission such as infrared communication or cable transmission.

The database management computer 1000 is connected to other database management computers 1000 and the network server 1001 via LAN, and further connected to another LAN via the router 1002. And furthermore, fire all 1003, network server 1
004 and the gateway 1005 are connected to the Internet. Then, on the Internet, there are a computer 1006 for the pickup company and a computer 10 for the client.
07 and a computer 1008 for the carrier.

In the following description, as to the output from the database 8 described later, only the output necessary for the work normally performed in the recycling factory is described. Process data stored in the database can be searched and displayed, printed out, or output via a network.
In some cases, the processing data retrieved from the database can be processed and output.

The network server 1001 stores various types of recycle processing data, which will be described later, received from outside the recycle factory or calculated in the factory as a database. Database management computer 10
Reference numeral 00 manages the recycle processing data by various programs such as spreadsheet software. Further, data input from the truck scale 1000d or the handy terminal receiving unit 1000e is automatically stored in the recycle processing data. The recycle processing data can be referred to via the Internet at the computer 1006 for the pickup company, the computer 1007 for the client, and the computer 1008 for the carrier.

FIG. 2 is a block diagram showing functional elements involved in computer processing in the recycling processing management system according to the present invention. FIG. 2 shows a main part of the equipment configuration shown in FIG. 1 in more detail in functional element units. is there. The recycling processing management system includes an input unit 1, a weight measuring unit 2, a calculating unit 3, a unloading time measuring unit 4, a dismantling time measuring unit 5, a manual dismantling weight measuring unit 6, a power amount measuring unit 7, a database 8, an output Unit 9, hand dismantling amount estimation unit 10, recycling rate calculation unit 1
1, a harmful substance processing rate calculation unit 12, an arrival amount estimation unit 13, an electric energy estimation unit 14, and an operation plan creation unit 15.

The input unit 1 is for inputting data to the database 8, and is provided with the above-described keyboard 100.
0c and the handy terminal receiving unit 1000e,
The mobile terminal 100m is configured to input various types of recycled data and transmit the data to the handy terminal receiving unit 1000e, a barcode reader 100n, and the like. This input unit 1
Has a keyboard 1000c and a handy terminal 10
00e, mobile terminal 100m, barcode reader 100n
In addition, various input devices that enable input of data to the database 8 are included.

The weight measuring section 2 comprises a loading bay 200 m and the like in addition to the track scale 1000 d described above. The calculation unit 3 performs four arithmetic operations and the like on the weight data measured by the weight measurement unit 2. The unloading time measuring unit 4 measures the time required for unloading processing described later. The disassembly time measuring unit 5 measures the time required for a manual disassembly process described later. In addition, the manual disassembly process does not simply refer to manual work,
It refers to the entire disassembly operation except shredding by a shredder, and can be simply called dismantling processing.

The post-disassembly weight measuring section 6 measures the weight of the waste after the manual disassembly processing described later.
The electric energy measuring unit 7 sequentially measures the electric energy used in the recycling factory. The database 8 has 80
It is composed of a plurality of storage units 1 to 813, and stores a plurality of data in the storage unit in association with each other as described later. This database 8
It is provided in the network server 1001 described above.

The incoming data storage unit 8 in the database 8
01, a handling slip data storage unit 804, a storage position data storage unit 805, a retrieval data storage unit 808, a shipping slip data storage unit 810, a staff / work time storage unit 811,
The disassembly manual storage unit 812 stores data input from the input unit 1.

In the database 8, the receipt slip data storage unit 802 stores receipt slips to be delivered to carriers and the like created based on the arrival data 801 and data processed for manifests. The weight data storage unit 803 stores the weight data calculated by the calculation unit 3. The unloading time storage unit 806 stores unloading time data measured by the unloading time measurement unit 4, and the dismantling time storage unit 807 stores dismantling time data measured by the unpacking time measurement unit 5. The post-hand disassembly weight storage unit 809 stores the post-hand disassembly weight data measured by the post-hand disassembly weight measurement unit 6. The power amount storage unit 813 stores the power amounts sequentially measured by the power amount measurement unit 7 as time-series data.

The output unit 9 outputs data stored in the database 8, and is specifically composed of the above-described printer 1000f, display 1000b, and the like. The hand dismantling amount estimating unit 10 arithmetically calculates the hand dismantling amount based on the hand dismantling weight data stored in the hand dismantling weight storage unit 809 and the personnel / work time data stored in the personnel / work time storage unit 812. It is an estimate. In FIG. 2, the hand dismantling amount estimating unit 10 performs manual dismantling based on the hand dismantling weight data stored in the hand dismantling weight storage unit 809 and the personnel / work time data stored in the personnel / work time storage unit 812. Although the case where the amount is arithmetically estimated is shown, the past manual disassembly amount may be stored as time series data, and the future manual disassembly amount may be estimated from the past time series data. The method of estimating the manual disassembly amount will be described later. Here, the amount of manual dismantling refers to the amount of waste subjected to manual dismantling.

The recycling rate calculation unit 11 stores the handling slip data stored in the handling slip data storage unit 804, the picked-out data stored in the picked-out data storage unit 808, and the shipping slip data storage unit 809. The recycling rate is calculated based on the shipping slip data. The method of calculating the recycling rate will be described later.

The harmful substance processing rate calculation unit 12 stores the handling slip data stored in the handling slip data storage unit 804, the picked-out data stored in the picked-out data storage unit 808, and the shipping slip data storage unit 809. The harmful substance processing rate is calculated based on the personnel work time data stored in the personnel work time storage unit 811 in addition to the shipped shipping slip data. The method for calculating the harmful substance treatment rate will also be described later.

The arrival amount estimating unit 13 includes the arrival data storage unit 8
This is for estimating future arrival data based on past arrival data stored in 01. The method of estimating the amount of arrival will be described later. The power amount estimating unit 14 estimates the future power amount based on the time-series data of the power amount stored in the power amount storage unit 813. The method of estimating the power amount will also be described later.

The operation plan creation unit 15 is provided with a manual dismantling amount estimation unit 1.
0, an operation plan of the recycling plant is created based on the estimation results by the arrival amount estimation unit 13 and the electric energy estimation unit 14, and the created operation plan is output to the output unit 9. Each block of the recycling factory management system described above functions according to a command generated by executing the various programs by the above-described database management computer 1000 or executing each program by another computer (not shown).

The data acquisition means of the present invention comprises the input unit 1, the weight measuring unit 3, the unloading time measuring unit 4, the dismantling time measuring unit 5, the manual dismantling weight measuring unit 6, and the power measuring unit 7. You. The input means of the present invention is constituted by the database management computer 1000 and a program executed by the computer, and the output means is constituted by the output unit 9. The recycle calculation means of the present invention is constituted by the recycle calculation unit 11, and the operation plan calculation means is constituted by the operation plan creation unit 15. In addition, the prediction means for predicting the arrival amount according to the present invention is configured by the arrival amount estimation unit 13, and the prediction unit for predicting the power amount is configured by the power amount estimation unit 14.

FIG. 3 is a schematic flowchart showing a processing procedure of the recycling processing management system of the present invention. In the flowchart of FIG. 3, for example, a plurality of recycling processes are performed after the waste of electric / electronic devices such as a television, a refrigerator, a washing machine, an air conditioner, and a personal computer arrives at a recycling plant as a processing target. The figure shows the flow of recycled materials from the recycling factory to shipment.

First, when waste is loaded on a truck by a carrier and arrives at a recycling factory (step S1), first, manifest data and a delivery slip used as a management slip on the side of the carrier other than the manifest. Is input (step S
2). In this step, the manifest data, the delivery slip data, and the arrival time data are input to the database management computer 1000 as arrival data and stored in the database 8. The track arrival at step S1 and the data input at step S2 constitute an arrival process. A backup computer (not shown) is connected to the database management computer 1000.

Subsequently, the waste is unloaded, for example, from the truck of the carrier (step S3). At this time, the weight data of the waste measured by the weight measuring unit 1 is input to the database management computer 1000 and stored in the database 8. Thereafter, the receipt slip is output from the data database management computer 1000 (Step S).
4).

Subsequently, a cargo handling process is performed, and the cargo handling slip data and the cargo handling time measured during the handling process are input to the database management computer 1000 and stored in the database 8 (step S5). Thereafter, the handling slip is output from the database management computer 1000 (step S6). The unloading process is a process of sorting waste that has arrived for each type, manufacturer, and model of waste. Subsequently, a manual dismantling process is performed, and the retrieved object data relating to the object taken out by the manual dismantling and the manual dismantling time measured at the time of the manual dismantling process are input to the database management computer 1000 and stored in the database 8 (step). S
7). The manual disassembly process is a process of removing a material that is not subjected to a crushing process from waste, and specifically refers to a work of removing a manufacturer return part from waste and a process of removing harmful substances and unsuitable crushed substances.

Thereafter, a crushing / sorting process is performed in which the waste that has been subjected to the manual dismantling process is crushed by a shredder and the obtained crushed material is sorted into a state that can be shipped as a recycled material (step S8). For example, in the crushing / sorting process, a process of sorting crushed materials into iron, aluminum, copper, and the like, and sorting each crushed material is performed. Then, picked-out item data representing information on items picked up by the crushing / sorting process is input to the database management computer 1000 and stored in the database 8. Next, the maker returns the products taken out by the manual dismantling process to the maker, ships the harmful substances to the secondary processing company, and ships the recycled materials selected by the crushing / sorting process to the recycling material collecting company. (Step S9).

FIG. 4 shows the arrival of the truck in FIG. 3 (step S
It is a flowchart which shows from 1) to unloading (step S3) in further detail. First, when the waste arrives at the recycling factory loaded on the truck by the carrier (step S15), the data of the delivery slip used as the management slip on the carrier side and the waste are attached. Manifest data (hereinafter referred to as manifest data) and arrival time data are input by the input unit 1. At this time, the delivery slip or the manifest is character information printed on paper, or is printed on paper or the like. It is determined whether the data is electronic data such as a bar code or information stored in an electronic storage medium (step S1).
6) In the case of electronic data, the data is automatically input using, for example, the barcode reader 11 (step S17). In the case of paper, necessary data is manually input using the keyboard 1000c (step S18). ).

In this step, as described above, the manifest data, the delivery slip data and the arrival time data are used as the arrival data as the database management computer 1.
000. The manifest data specifically includes manifest number data attached to the manifest, waste type, model, weight, maker, recycler, and the like. The delivery slip data includes the name of the carrier who contracted the transportation of the waste, the vehicle plate number used for the transportation, the name of the driver who performed the transportation, the imported weight indicating the total weight of the imported waste, and the name of the imported product.・
Includes quantities etc.

Thereafter, the database management computer 1000
Determines whether the data input in steps S17 and S18 is normal (step S19).
The manifest data, the delivery slip data, and the arrival time data input in S18 and S18 are stored in the arrival data storage unit 801 of the database 8 as arrival data. Next, an initial truck weight measurement with the waste mounted on the truck is performed by the truck scale 1000d (step S20).

Thereafter, it is determined whether a plurality of wastes have been mixedly loaded on the truck or a single waste has been loaded (step S21). If there is a single waste, unloading is performed within the truck scale. (Step S2
2). Then, the weight of the truck after the waste is unloaded is measured by the truck scale 1000d (step S23).

On the other hand, if it is determined in step S22 that the loads are mixed, a cargo handling process of separating a plurality of wastes by manufacturer and model is executed (step S2).
4). This unloading process will be described later.

After the unloading process (step S 24) is executed, the weight of individual waste is measured using the loading bay 21, and the measured individual weight is stored in the weight data storage unit 803 of the database 8. (Step S
25). In the unloading process (step S24), the waste is separated for each manufacturer and each model.
Then, the weight is measured by manufacturer or by model. When wastes of a plurality of manufacturers arrive or wastes of a plurality of models arrive, the weight of each waste is measured. However, if the individual weight has already been measured in the past and stored in the weight data storage unit 803 of the database 8, step 25 may be omitted. Further, in this embodiment, the individual weight measurement is performed after the unloading process is performed, but the individual weight measurement may be performed during the unloading process.

After that, the arithmetic unit 3 performs a difference operation for individually subtracting the individual weight measured in step 25 from the initial track weight measured in step S20 (step S26). If step 25 is omitted because the individual weight has already been measured and stored in the database 8, the calculation unit 3 performs a difference calculation using the stored weight data. In the individual difference calculation (step 26),
The weight of all the waste on the truck is deducted.

Then, the weight of the truck from which all the wastes have been dropped is measured (step S23). afterwards,
Using the truck weight after unloading measured in step S23, the calculation unit 3 performs a difference calculation (step S2).
7) The calculated weight is calculated by the database management computer 1000.
Is stored in the weight data storage unit 803 of the database 8 via the.

More specifically, in step S27, if the waste mounted on the truck is mixed, the following calculation is performed. (Initial truck weight)-(Truck weight after unloading) On the other hand, if there is only one waste mounted on the truck,
The following calculation is performed. (Result of difference calculation in S26)-(Truck weight after unloading)

The weight data after the difference calculation obtained by the difference calculation in step 27 is stored in the weight data storage unit 803. In the case of single loading, the weight data after the difference calculation is stored in the weight data storage unit 803 as weight data as the weight of the mounted waste. In the case of mixed loading, the weight data is stored in the weight data storage unit 803 as data indicating the weight of a portion left in the truck due to a cause such as damage of the received waste. The weight data is data for grasping the state of the received waste, the state of transportation, and the like.

Thereafter, the database management computer 1000
Reads out the incoming data already stored in the incoming data storage unit 801 and outputs a receiving slip 2000 describing necessary items to the receiving slip using the printer 1000f. (Step S27). The receiving slip is a slip delivered to the carrier, and is a slip indicating that waste has been received from the carrier. In this embodiment, the receiving slip is output in paper form, but it is also possible to output the receiving slip by displaying it on the display 1000b or transmitting data relating to the receiving slip to the terminal on the carrier side.

On the other hand, if it is determined in step S19 that the input data is not normal, an error notification is issued from the database management computer 1000 (step S29).
The data input in steps S17 and S18 is corrected by manual input (step S30). After the correction process, if the input data is normal (step S31), the corrected manifest data, delivery slip data, and arrival time data are stored in the database management computer 1.
000, and stored in the arrival data storage unit 801 as arrival data. In addition, the incoming data stored in the incoming data storage unit 801 is read, and a provisional receipt in which items necessary for creating the receipt are compiled is output (step S34).

If it is determined in step S31 that the input data is normal, the process ends without storing the incoming data in the incoming data storage unit 801. After the above processing is completed, the track finally moves from the scale.

FIG. 5 is a diagram showing the contents of data described in the receiving slip (unloading slip) 2000 output in step S27. As shown in FIG. 5, the receiving slip includes a recycling contractor, a carrier, a vehicle plate number,
Driver name, incoming weight (individual weight), manifest number,
The arrival time, the name and number of the received home electric appliances, the track number when lot management is performed, and a barcode summarizing the information are described. These data are input in step S17 or step 18, and are output by extracting necessary data from the manifest data, the delivery slip data, and the arrival time data stored in the arrival data storage unit 801.

FIG. 6 is a flowchart showing the details of the cargo handling process of FIG. In FIG. 6, when the handling process is started, first, whether the waste to be handled is small or not, that is, the future transportation and processing is performed on a pallet or basket (table or container).
It is determined whether the process is performed using or not (step S45). If the waste is large, do not use pallets or baskets.
Classification is made for each model or product number, and the unit is treated as one processing unit, and this processing unit is called a lot.
If the waste is small, it is determined whether stacking is possible (step S46), and if possible, the waste is carried into a pallet (step S47). If stacking is not possible, the waste is carried into the basket (step S48).
The pallets and baskets are used separately for each maker, type, and model of the waste, and a set of these pallets and baskets is handled as one processing unit, that is, a lot. Each lot is assigned a unique lot number, and after the unloading process, the process is executed in units of this lot.

Each time a lot is set, the handling slip data is input for each lot (step S49). The data input in step S49 includes the name of the recycler entrusted with the recycling of the waste, the manifest number, the date and time when the cargo handling process was performed, and the lot number assigned to each lot. With respect to the amount of waste in each lot, for example, a counter provided in the recycling management system counts each time waste is input, and the final amount can be input.

The input of this data is performed by the portable terminal 100m, and the input of the handling slip data from the portable terminal 100m to the database management computer 1000 is performed by wireless communication such as infrared communication. The handling slip data input to the database management computer 1000 is stored in the handling slip data storage unit 804 in the database 8. If the waste is small, step S49 is repeatedly executed until the pallet or basket is full, but the input of the overlapping data can be omitted.

Then, it is determined whether or not the waste is to be initially loaded into the pallet or the car (step S50). When the waste is to be initially loaded into the pallet or the car, measurement of the unloading time is started (step S50). Step S51). The determination as to whether or not the waste is initially loaded refers to a determination as to whether or not the waste placed in the pallet or basket is the first waste. Thereafter, it is determined whether the basket or pallet is not full (step S53). If it is not full, some slip processing is skipped, and the process jumps to step S62, where it is determined whether there is any more cargo to be handled. You. By repeating this procedure, the input of waste continues until the pallet or basket is full of waste.

On the other hand, if the pallet or basket is full, the handling slip 2110a is printed out based on the handling slip data input in step S49 (step S55). If the waste is large, a handling slip is printed out at a fixed rate (for example, one out of five sheets) in the classified unit (lot). Mobile terminal 1
In the case where the handling slip 2100a is output to No. 2, it is transferred from the database management computer 1000 by radio or infrared and output. When the data is output to a terminal installed at the site, the database management computer 1
000 via a wired LAN or the like.

Thereafter, the handling slip output in step S55 is attached to a basket or a pallet (step S56). If the waste is large, a handling slip is attached at the above-mentioned fixed rate. Thereafter, the basket or pallet is stored in each storage location for each lot, and the location data of the storage location is input to the database management computer 1000 (step S58). If the waste is large, it is wrapped with a rope or partitioned at a certain ratio (for example, 5 units) and stored.
At this time, the handling slip may be attached to any of the wastes of the group, or may be attached to a rope, a partition, or the like where the group can be recognized. Thereafter, the measurement of the cargo handling time is terminated (Step S60), and the data of the measured cargo handling time is stored in the cargo handling time storage unit 806 of the database 8.

Thereafter, it is determined whether or not there is any further cargo to be handled (step S62). If there is, the process returns to step S45. Also, if there is no further cargo,
The work time and the number of personnel are input (step S6).
4) The input work time / number of staff is stored in the staff / work time storage unit 812 in the database 8. The description of the step of starting the measurement of the handling time when the waste to be handled is large is omitted in FIG.
The number of persons and the number of personnel until the classification into the above-described groups for each model or product number are measured and input. This completes the unloading process.

FIG. 7 is a diagram showing the contents of the data of the handling slip 2110a output in step S55. FIG.
As shown in, the handling slip 2110a includes the name of the recycler, the name of the waste, the quantity, the manifest number, the date and time when the handling was performed, the lot number attached to the pallet or basket, and A bar code indicating such information is described.

FIGS. 8 and 9 are flowcharts showing the manual dismantling process and the crushing / sorting process of FIG. 3 in detail.
First, the cargo handling process is executed, and the waste stored in the storage location is moved from the storage location as a product to be manually dismantled in lots (step S70). Then, by reading the barcode of the handling slip attached to the pallet or basket by the barcode reader 11, the handling slip data is input to the database management computer 1000 (step S71). It is input to the management computer 1000.

The database management computer 1000 determines whether the product is a new dismantled product based on the lot number of the handling slip data input in step S71, the name of the waste, the model, the maker, and the like (step S72). If the product is a new dismantled product, the dismantling time measuring unit 5 starts measuring the dismantling time (step S73). This new dismantled product refers to waste of a model whose dismantling time is not stored in the database in the recycling system.

Thereafter, the cargo handling slip data input in step S71 is collated with the items to be manually dismantled in advance in the operation plan. It is determined whether or not it is a dismantled product according to the plan (Step S75), and is returned to the warehouse as the storage location (Step S76).

In this embodiment, step S71
In step S71, a lot number is input, and the lot number is used as a key to obtain the handling slip data stored in the handling slip data storage unit 804. Is also good.

If the waste of the lot moved in step S70 is a planned dismantled product, the start of manual dismantling is notified. Then, it is determined whether or not the hand dismantling target product has a disassembly manual index, and if so, the disassembly index is input (step S80). This disassembly index is, specifically, an ID of a disassembly manual. When the disassembly index is input in S81, the disassembly manual stored in the disassembly manual storage unit 813 of the database 8 is read and displayed on the display 1000b (step S81).
81).

Next, it is determined based on the disassembly manual whether or not the article to be dismantled has a manufacturer return part (step S81). If there is a manufacturer return part in the dismantling target product, the return part is removed (step S83),
The number of each part is checked to confirm whether or not all the returned parts have been removed (step S84), and the data of the maker's returned parts are input (step S84).
85). Here, the take-out data of the maker return part is created for each lot number, and includes data such as the lot number, the name of the maker return part, the quantity, the return destination, and the weight of the maker return part. The input retrieval data is stored in the retrieval data storage unit 8 of the database 8.
10 is stored.

Thereafter, shipping slip data is created based on the picked-up article data stored in the picked-up article data storage unit 810, and the shipping slip is printed out (step S8).
6). For example, when a plurality of lots of manufacturer return parts are to be shipped together, a plurality of items to be taken out are read out from the taken-out data storage unit 808, and these are collectively created as one shipping slip data and output as a shipping slip. I do.

Next, it is determined based on the disassembly manual whether the disassembly target has harmful substances or crushing unsuitable substances (step S87). If there is a harmful substance or crushed unsuitable material in the dismantling target product, the harmful substance or crushed unsuitable material is removed (step S88), and data on the harmful substance or crushed unsuitable material is input (step S89). Here, the extracted data of harmful substances and crushed unsuitable materials are created for each lot number, and the lot number, harmful substance and crushed unsuitable material names, quantities, secondary It contains data. The input takeout data is stored in the takeout data storage unit 810 of the database 8.

Thereafter, shipping slip data is created based on the picked-up article data stored in the picked-up article data storage unit 810, and the shipping slip is printed out (step S9).
0). This shipping slip may be collectively created from a plurality of lots to be dismantled similarly to the shipping slip of the manufacturer return part.

After the removal of the parts returned by the manufacturer and the removal of the harmful and crushed unsuitable materials as described above, the dismantling time measuring section 5 finishes the measurement of the manual dismantling time, and stores the measured manual dismantling time in the database 8. In the disassembly time storage unit 807. Further, the weight of the article to be dismantled after the hand disassembly process is measured using the post-hand disassembly weight measuring unit 6 (step S92).

Next, the waste that has been subjected to the manual dismantling process is put into a shredder line, and the shredder crushes the waste (step S91). Thereafter, the crushed material crushed by the shredder is sorted into a state in which it can be shipped as a recycled material (step S94).
The data of the material taken out by the sorting process is input. Here, the taken-out data of the material crushed by the shredder is created for each lot number, and includes data such as the lot number, the material and quantity of the crushed material, the shipping destination, and the weight of the crushed material. The input takeout data is stored in the takeout data storage unit 81 of the database 8.
0 is stored.

After that, the shipping slip of the material crushed by the shredder is printed out. Since this procedure is the same as steps S86 and S90, the description is omitted. After the shipping slip is output as described above, it is shipped to the manufacturer of the return destination, the secondary processing company, or the company handling the recycled material (step S97).

FIG. 10 shows steps S86, S90 and S96.
FIG. 6 is a diagram showing an example of a shipping slip printed out in FIG. In the contents of the shipping slip, the product name, quantity, shipping destination, etc. of the goods to be shipped are described. FIG. 11 is a diagram showing the association of each data. In the above-described recycling process, the data stored in each storage unit of the database 8 is not individually stored, but is stored in association with each other. In FIG. 11, this association is indicated by an arrow.

Hereinafter, the association of each data will be specifically described. The arrival time data 2500, the manifest data 2100, and the reception slip data 2000 are stored in the arrival data storage unit 801 as arrival data, and these data are associated with each other by manifest numbers. Therefore, by specifying the manifest number, it becomes possible to extract the manifest data 2100, the reception slip data 2000, and the arrival time data 2500 corresponding to the specified manifest number. FIG.
In FIG. 1, the receipt slip data 2000 is associated with a plurality of manifest data 2100, 2200, and 2300. This is because a plurality of wastes are mixedly loaded in a factory and arrived, so that the receipt slip data is created collectively. It shows the state where it was turned on.

Next, the handling slip data 2110a, weight data 2110b, storage position data 2110c, handling time 2110d, dismantling time 2110e, weight 2
110f, take-out data (manufacturer return parts) 21
10a, taken-out data (harmful substance) 2111b, taken-out data (shredder) 2111c, taken-out data (valuable material) 2111d, and corresponding shipping slip data 2111e to 2111h are associated with each other by the lot number of the corresponding lot. It has been done. Are associated with each other by the lot number of the corresponding lot. Therefore, by designating the lot number, it is possible to extract the data 2110a to 2110e of the corresponding lot.

Further, the manifest data 2100 and the handling slip data 2110a are associated with each other by a manifest number. Therefore, by designating the manifest number, it is possible to obtain the handling slip data, and it is also possible to extract a plurality of data associated with the handling slip data. In this way, even if there is an inquiry from a carrier or a requester to the recycling plant regarding the waste treatment status, the database is based on the manifest number of the inquired waste. By taking out a plurality of data stored in the storage unit 8, it is possible to grasp the status of waste disposal and report the status.

In FIG. 11, one piece of shipping slip data 2111e corresponds to one piece of picked-up data 2111a.
2111h are stored in the database 8. However, in the case where items taken out from a plurality of lots are to be shipped together, etc., data corresponding to a plurality of lots is taken out. One piece of shipping slip data may be stored. Also in this case, the association is made by the lot number.

In the recycling processing management system configured as described above, the database management computer 1000
Based on the data stored in the database 8, the recycling rate and the harmful substance processing rate are calculated using the following equations (1) to (6). Recycling rate = (weight of incoming lot-weight of non-recyclable substance) / weight of incoming lot (1) As can be seen from the above equation (1), the recycling rate is calculated in lot units. That is, the recycling rate is calculated for each lot after the cargo handling processing, and the total is stored in the database 8 for each customer, for example, on a weekly basis. The database management computer 1 periodically or when requested by the customer.
000 presents the recycling rate to the customer by screen display, printing or data transfer via a network.

The non-recyclable substances in the above formula (1) are generally material recyclable substances (iron and non-ferrous metals), chemical recyclable substances (plastics), and thermal recyclable substances generated in the recycling process of waste home appliances. These substances are generated in addition to recyclable substances (waste plastics, combustible dusts), and the non-recyclable substances can be classified into harmful substances that require further treatment and harmless substances that do not require treatment.

The database management computer 1000
Calculates the average recycling rate for each model by the following equation (2). Recycling rate for each model = (weight received-weight removed by hand decomposition) x content of recyclable substances / weight received (2) The content of recyclable substances in the above formula (2) is calculated by the database management computer 1000 as a database. 8 is calculated for each model based on the data stored in the data.

Furthermore, the database management computer 1000
, The overall estimated recycling rate is also calculated by the following equation (3). Overall recycling rate = weight received-(hand-decomposed garbage + (weight received-hand-removed weight) x non-recyclable substance content) / weight received (3) What is hand-decomposed garbage in equation (3) above? For example, water supply / discharge hoses of washing machines, packing of refrigerator doors, collected CFCs, silencers (glass wool) of air conditioners, and landfill or incineration of paper and toner remaining in copiers and printers Means

On the other hand, the harmful substance treatment rate can be obtained by the following equation (4). Hazardous material treatment rate = detoxification treatment cost / total recycling cost (4)

The detoxification processing cost and the overall recycling cost in the above formula (4) are as follows (5) and (6), respectively.
It is calculated by the formula. Detoxification cost = Detoxification cost of harmful substances + Pre-treatment cost such as concentration required before final disposal such as landfill + Transportation cost (5) Overall recycling cost = All processing / disposal costs from discharge to recycling Transportation costs (6) The definitions of the detoxification processing costs and the overall recycling costs are not limited to the above expressions (5) and (6), but are defined by other expressions such as omitting transportation costs. You can also.

FIG. 12 shows a database management computer 10 for supporting the factory operation plan of the recycling management system.
It is a figure which shows the outline of the arithmetic processing by 00. In FIG. 12, the database management computer 1000 calculates the unit weight after manual dismantling (ton / unit) for each model from the data stored in the post-hand disassembly weight storage unit 809 of the database 8 and the dismantling time storage unit of the database 8. From the data accumulated in No. 8, the standard hand dismantling time (hr / vehicle) for each model is extracted as basic recycling data, and by the following equation (7),
Perform an arithmetic estimation of the amount of manual dismantling (shredder input).
The standard manual dismantling time at this time is
It refers to the total time of the time for removing harmful substances and the time for removing unsuitable crushed substances.

(Equation 1)

By comparing and examining the amount of manual dismantling with the maximum amount of shredder processing represented by the following equation (8), the shredder line can be operated efficiently. Maximum shredder throughput = shredder line capacity (ton / hr) x operating time (hr) (8)

For example, when the purpose is to always operate the shredder line at the maximum processing capacity, the line operating time and the number of line input persons are determined so that the above equations (7) and (8) become equal. The above object can be achieved by actually operating the line with the line operating time and the number of line input personnel. Note that the unit weight after manual disassembly in the above formula (7) is the weight for each model, and the average unit weight after manual disassembly obtained by averaging these data for each product type is the unit weight after manual disassembly in formula (7). It may be used as a weight.

The database management computer 1000
Indicates that the weight data actually measured by the post-disassembly weight measuring unit 6 shown in FIG.
For example, sampling is performed at intervals of 10 minutes to monitor an increase or decrease in the amount of manual disassembly. At this time, the database management computer 100
If 0 detects that the amount of manual dismantling is increasing, the database management computer 1000 notifies the user of an instruction to decrease the amount of manual dismantling through a monitor screen or the like.

On the other hand, if it is detected that the amount of manual disassembly is decreasing, the database management computer 100
0 notifies an instruction to increase the amount of manual disassembly through a monitor screen or the like. In this way, by checking the amount of manual disassembly in real time and instructing the correction, the shredder line can always be efficiently operated even when the estimated value of the above equation (7) does not match the actual amount of disassembly for some reason. Can drive.

Further, the database management computer 1000
Predicts the amount of waste that arrives at the recycling plant and the power consumption of the recycling plant. The arrival amount and the electric energy are predicted, for example, according to the procedure shown in FIG.

As shown in FIG. 13, actual measurement data of a prediction target value is stored as time-series data (step T1).
0). The actually measured data of the arrival amount and the electric energy are sequentially stored in the arrival data storage unit 801 and the electric energy storage unit 813 of the database 8 shown in FIG. Next, parameters used for the logic model are set (step T11).
As the logical model, an autoregressive model as a linear prediction of the time-series prediction data, and a chaotic time-series prediction model as a non-linear prediction of the time-series prediction data can be used.

After setting the parameters, a predicted value is calculated by simulation using a logical model, and the predicted value is compared with an actually measured value (step T12). Next, it is determined whether or not the prediction accuracy of the predicted value exceeds the reference value (step T13). If the predicted value is equal to or less than the reference value, step T
Returning to step 11, the parameters are reset and the main operation is repeated. If the prediction accuracy exceeds the reference value, the future prediction data using the logical model, that is, in this example, the prediction of the future arrival amount and the prediction of the electric energy are performed.

In the non-linear prediction of time-series data such as the above-described chaotic time-series prediction, future time-series data is obtained by reconstructing attractors (trajectories representing the properties of the time-series data) from the time-series data. This is a prediction method, and is applied to prediction of water charges of water and sewage and prediction of traffic volume in a tunnel in addition to the above application examples. In addition, linear prediction of time-series data such as an autoregressive model represents the entire system as a sum of a linear combination of past system variables and a white noise portion (nonlinear portion) unique to the variable at that time. " A model is used and is represented by the following equation.

[0120]

(Equation 2) Note that X (s) is the value of the system variable X at time s, A
(m) is the regression coefficient of the model, M is the model order, and e (s) is the white intrinsic noise of the system variable X at time s.

The relationship between the above-mentioned estimated arrival amount and the operation plan of the recycling plant, including the storable amount of waste before crushing and the crushable amount of the shredder, is stored. explain.

First, the predicted arrival amount A at a certain point A [ton / da
y] and storable amount B2 [ton / day] and crushable amount C [ton / da]
y] is reflected in the operation plan. The predicted arrival amount A is predicted based on past processing data, taking into account the season, month, day, and time. Then, when the predicted arrival amount A> (storage amount B2 + crushable amount C), the arrival amount per day is reduced by (predicted arrival amount A−storage amount B2) (the arrival amount is reduced). Restrict). When the predicted arrival amount A ≦ (storage amount B2 + crushable amount C), the arrival amount is not adjusted.

Also, the planned shipment amount D of valuables at a certain point in time
Secure the amount of arrival corresponding to [ton / day]. That is, the predicted arrival amount A [ton / day] and the storage amount B1 [ton / day] at a certain point in time.
And the percentage of valuables finally obtained from incoming waste is α
When compared with the planned shipment amount D [ton / day], if (estimated arrival amount A + storage amount B1) × α> planned shipment amount D, the amount per day is calculated as (estimated arrival amount A− (Planned shipment amount D / α-Storage amount B1))
Just reduce. In addition, when (estimated arrival amount A + storage amount B1) × α ≦ planned shipment amount D, the amount per day is calculated as (estimated arrival amount A− (planned shipment amount D / α−storage amount B1)).
Just add.

However, it is necessary to satisfy the following condition: predicted arrival amount A ≦ (storage amount B2 + crushable amount C) and (predicted arrival amount A + storage amount B1) ≦ crushable amount C.

Next, the relationship between the expected electric energy and the operation plan will be described. First, as shown in FIG. 14, peak cut control is performed so as not to exceed the arbitrarily set maximum allowable power Emax [Kw]. In FIG. 14, the vertical axis indicates the magnitude of the power, and the horizontal axis indicates time. When the predicted power E (t + T) [Kw] after T time from the current time, and when the predicted power E (t + T) ≦ the maximum allowable power Emax [Kw], the operation is continued, and the predicted power E (t + T)> the maximum allowable power When Emax [Kw], lower the operating load. Specifically, the power of the crusher and the amount of input to the crusher are reduced.

In addition, an operation plan is prepared to utilize the midnight power to reduce the power consumption. That is, an operation plan is made so that the total of the daytime power usage cost + nighttime power usage cost + daytime operation cost + nighttime operation cost is minimized. Daytime electricity usage unit price K1 [yen / kwh], daytime electricity usage time H1 [hr] (= daytime working time), daytime electricity usage P1 [k
wh], nighttime electricity unit price K2 [yen / kwh], nighttime electricity usage time H2 [hr] (= daytime working hours), nighttime electricity usage P2 [k
wh], hourly wage L1 [yen / hr], daytime workforce N1 [person],
In the hourly wage L2 [yen / hr] and the number of nighttime employees N2 [person], (K1 × P1 + L1 × N1 × H1) + (K2 × P2 + L
(2 × N2 × H2) is planned to be the minimum. However, K1>
It is assumed that K2 (K1 and K2 are constants) and L1> L2 (L1 and L2 are constants).

FIG. 15 is a diagram showing a change in the electric energy. In FIG. 15, the vertical axis indicates the magnitude of power, and the horizontal axis indicates time. The daytime power consumption P1 [kwh] and the nighttime power consumption P2 [kwh] are obtained by integrating the predicted power consumption E [Kw] within the daytime power usage time H1 and the nighttime power usage time H2, respectively. The daytime power consumption P1 [kwh] and nighttime power consumption P2 [kwh] are obtained by integrating the predicted power values. Daytime power usage time H1, nighttime power usage time H2,
The number N1 of daytime employees and the number N2 of nighttime employees are set within a limited range after obtaining a balance with the processing amount, and the minimum values are obtained.

As described above, in the recycling processing management system having such a configuration, the processing data is stored in the database every time each processing is executed. Therefore, the database is used to store detailed information on the recycling processing. It can be provided as a source of information that includes it.

The processing data stored in the database can be output through output means such as a display, a printer or a network, so that the database can be used effectively.

Further, in response to an inquiry about the processing status of the processing target, the processing data is accumulated each time the processing is performed. The information can be output immediately through the output means.

Further, since the processing time of each processing is stored in the database, it is possible to accurately grasp when each processing is performed on the processing target.

Further, since the processing time required for each processing is stored in the database, it can be used for calculation of processing costs and planning of an operation of a recycling factory.

In addition, in the arrival processing, information of the manifest created for the processing object is obtained as processing data, and in each processing including the arrival processing, the processing data is associated with the manifest. Input to the database, the database can be searched based on the manifest information.

Further, since the receiving slip data including the manifest information is created and input to the database, the data indicating the completion of the reception of the incoming processing object can be output at any time.

[0135] In addition, the receipt slip is automatically printed out when it arrives, so that it can be handed over to the trader who has transported the object to be processed as it is, and the time and effort of creating the slip can be saved.

Further, in the process of unloading the object to be processed from the transport vehicle, the weight of the object to be processed is individually measured, so that it is not necessary to provide a special transport operation for the weight measurement, thereby saving labor. This can be used for calculation of a recycling rate, planning of a factory operation, and the like.

In the handling process, the objects to be processed are classified into lots, and the processing data is input to the database in association with the lots. Even in the case of handling processing objects in a unit, a database can be searched based on lot information.

Also, since the handling slip data corresponding to the handling process is created in lots and input to the database, the handling slip indicating the completion of the handling process can be displayed or printed at any time. can do.

Further, since the handling slip is automatically printed out when the handling is completed, the handling slip after the handling is attached by attaching the handling slip to the container of the handling subject after the handling. Workers and the like can be easily recognized.

Further, since the time required for the cargo handling is measured in the cargo handling process, it can be used for calculation of a recycling rate and planning of a factory operation.

In the dismantling process, since the time required for dismantling is measured, it can be used for calculation of a recycling rate and planning of a factory operation.

In the crushing / sorting process, data on crushed and taken-out materials for shipping, which are sorted by material, are obtained as processing data and input to the database. This can be useful as data on shipments.

Further, since the shipping slip data of the crushed material is created and input to the database, the shipping slip indicating the shipping contents can be displayed or printed at any time.

In the crushing and sorting process, data on non-crushed items is also acquired as processing data and input to the database, so that it can be used as data on shipments made of non-crushed items.

Further, since the shipping slip data of the crushed and uncrushed goods is prepared and input to the database, the shipping slips indicating the contents of the shipment can be displayed or printed at any time.

Further, since the shipping slip is automatically printed out upon completion of the crushing / sorting process, it is possible to omit operations such as creating a shipping slip against the shipment.

Further, the processing data obtained for each processing is input to the database, and the recycling rate is calculated based on the processing data stored in the database.
An accurate recycling rate can be obtained by fine classification such as manufacturer, product type, and model.

The processing data obtained for each processing is input to the database, and the operation plan of the recycling plant is created based on the processing data stored in the database. It can be calculated every time, and a plan with little deviation from the actual work can be made.

In addition, since the number of operating personnel and the operating time as an operation plan are calculated in accordance with the capacity of a crusher (shredder) in which it is difficult to increase or replenish equipment, an extremely efficient operation plan is established. be able to.

Further, since the arrival amount of the processing object is predicted based on the database and reflected in the operation plan,
Without calculating the operation plan for the assumed multiple arrivals, just making a plan for one arrival,
An accurate operation plan can be calculated.

Further, since the power amount of the factory is predicted based on the database and is reflected in the operation plan, the operation plan can be calculated by utilizing a period or a time zone in which the power rate is low.

Note that the database management computer 1000 of the present embodiment is connected to a LAN or the Internet,
Although the recycle processing data in the database can be referred to from other computers, it is not necessarily required to have such a configuration.
If 00 is stand-alone and a printer or the like is connected and slips can be sequentially output, a certain effect can be obtained.

[0153]

According to the present invention, the status of the recycling process at the recycling factory can be grasped one by one, and when the presentation of data is requested from the outside, it can be answered immediately. Further, it is possible to efficiently extract data serving as a basis for calculating a recycling rate of a processing target to be recycled. In addition, detailed data can be provided to support the operation planning of the recycling plant.

[Brief description of the drawings]

FIG. 1 is a schematic configuration diagram of a recycling processing management system of the present invention.

FIG. 2 is a block diagram showing each functional element in the recycling processing system of FIG.

FIG. 3 is a flowchart showing an outline of a processing procedure in the recycling processing management system of FIG. 1;

FIG. 4 is a flowchart showing in more detail the process from the arrival of the truck to the unloading of the truck in FIG. 3;

FIG. 5 is a diagram showing the contents of received slip (unloading slip) data.

FIG. 6 is a flowchart showing details of the unloading process of FIG. 3;

FIG. 7 is a diagram showing the contents of data of a handling slip.

FIG. 8 is a flowchart showing details of the manual dismantling and crushing / sorting processing of FIG. 3;

FIG. 9 is a flowchart showing details of the manual dismantling and crushing / sorting process following the flowchart of FIG. 3;

FIG. 10 is a diagram showing an example of a shipping slip.

11 is a diagram for explaining association between various types of data stored in the database shown in FIG. 2;

FIG. 12 is a diagram illustrating a method of determining a line operation time and the number of line input personnel in a recycling processing plant.

FIG. 13 is a flowchart showing an example of a procedure for calculating a waste arrival amount prediction and a power amount prediction of a factory processing facility in a recycling processing plant.

FIG. 14 is a graph showing a state of fluctuation in power consumption of a recycling processing plant.

FIG. 15 is a graph showing a state of fluctuation of predicted electric energy in a recycling processing plant when an operation plan is executed by the recycling processing management system of FIG. 1;

FIG. 16 is a flowchart showing a flow of processing in a conventional recycling factory.

FIG. 17 is a block diagram showing a conventional waste manifest delivery mode.

[Explanation of symbols]

1 Input unit 1, 2 Weight measuring unit, 4 Handling time measuring unit, 5 Dismantling time measuring unit, 6 Hand dismantling weight measuring unit, 7
Power measurement unit, 8 databases, 9 output units, 10
Hand dismantling amount estimation unit, 11 Recycling rate calculation unit, 12
Hazardous material treatment rate calculation unit, 13 Deposit amount estimation unit, 14 Electric energy estimation unit, 15 Operation plan creation unit, 1000b CR
T, 1000c keyboard, 1000d truck scale, 1000e Handy terminal receiver, 10
00f printer, 1001 network server

 ──────────────────────────────────────────────────続 き Continued on the front page F term (reference) 4D004 AA22 AA26 AC10 CA02 CA04 CA07 DA16 DA17 DA20 5B049 BB07 BB31 CC21 CC31 CC40 DD01 DD02 DD05 EE03 EE05 EE12 EE41 FF02 FF03 FF04 FF09 GG04 GG06 GG07

Claims (25)

[Claims] 1. A recycling processing management system applied to a recycling processing factory that performs a series of plural processings from arrival of a processing target to shipment thereof, wherein each of the plurality of processings is performed on the processing target. Data processing means for obtaining processing data relating to the processing object when performing the processing, and input means for inputting the processing data obtained by the data obtaining means to a database each time the plurality of processes are performed. , A recycling processing management system. 2. The recycling apparatus according to claim 1, further comprising an output unit for outputting the requested processing data from the database when a request for outputting the processing data input to the database is issued. Processing management system. 3. An output means for outputting a processing status of the processing object requested to be output based on the processing data input to the database when an output request of the processing status of the processing object is issued, The recycling management system according to claim 1, further comprising: 4. The recycling processing management system according to claim 1, wherein the processing data includes a processing time at which each of the plurality of processings is performed on the processing target. 5. The recycling processing management system according to claim 1, wherein the processing data includes a processing time required for performing each of the plurality of processings on the processing target. 6. The plurality of processes include an arrival process at which the recycling plant accepts the object to be processed, and the data acquisition unit includes an arrival process including a manifest created for the object to be processed. Acquiring input data related to the plurality of processes as the process data, and inputting the process data corresponding to each of the plurality of processes to the database in association with the manifest. Claim 1
A recycling management system according to any one of claims 1 to 5. 7. The plurality of processes include an arrival process at which the recycle processing plant receives the object to be processed, and the data acquisition unit includes an arrival process including a manifest created for the object to be processed. Receiving data associated with the received data as the processing data, wherein the input unit creates reception slip data corresponding to the arrival processing based on the received data and inputs the received slip data to the database. The recycling processing management system according to any one of claims 1 to 5. 8. The recycling processing management system according to claim 7, further comprising an output unit for printing out a paper reception slip displaying the reception slip data. 9. The unloading process in which the processing object is unloaded from a vehicle that has transported the processing object, wherein the data acquisition unit performs the unloading process when the unloading process is performed. The recycling processing management system according to any one of claims 1 to 8, wherein weight data representing the weight of the object is acquired as the processing data. 10. The plurality of processes include a handling process in which the processing target is distributed in lot units, and the data acquisition unit acquires handling data related to the handling process as the processing data. 3. The method according to claim 1, wherein the input unit associates the processed data with a corresponding lot and inputs the processed data to a database at each process after the handling process including the handling process. 9. The recycling processing management system according to any one of 9. 11. The data processing system according to claim 10, wherein the input means creates, based on the handling data, handling handling slip data corresponding to handling handling for each lot and inputs the data to the database. Recycle processing management system. 12. The recycling processing management system according to claim 11, further comprising output means for printing out a paper handling slip displaying the handling slip data. 13. The recycling processing management system according to claim 11, wherein the handling data includes handling time data representing a handling time required for the handling processing of the processing object. . 14. The disassembly process in which the plurality of processes include a disassembly process in which the object to be processed is disassembled, and the data acquisition unit includes dismantling process time data representing the disassembly process time required for the disassembly process for the process object. 14. The recycling processing management system according to claim 1, wherein the processing data is acquired as the processing data. 15. The plurality of processes include a crushing sorting process in which the processing target is crushed and sorted by material to take out the processing target as a crushed product to be taken out for shipment. The recycling processing management system according to any one of claims 1 to 14, wherein data on crushed and taken out items relating to the crushed and taken out pieces is acquired as the processing data. 16. The method according to claim 15, wherein said input means creates shipping slip data of the crushed and taken-out material for each predetermined shipping unit based on the crushed and taken-out material data and inputs the data into the database. Recycle processing management system. 17. The disassembling process in which the plurality of processes disassemble the object to be processed before the crushing and sorting process and take out a part of the object to be processed as a non-crushed product for shipment without performing the crushing process. The recycling processing management system according to any one of claims 1 to 16, wherein the data acquisition means acquires non-crushed product data relating to the non-crushed product as the processing data. . 18. The method according to claim 17, wherein the input means creates shipping slip data of the non-crushed product for each predetermined shipping unit based on the non-crushed product data and inputs the data to the database. The recycling management system described. 19. The recycling processing management system according to claim 16, further comprising an output unit configured to print out a paper shipping slip displaying the shipping slip data. 20. The apparatus according to claim 1, further comprising a recycle rate calculating means for calculating a recycle rate of the object to be processed based on the process data input to the database. Recycling processing management system described in 4. 21. An apparatus according to claim 1, further comprising an operation plan calculating means for calculating an operation plan of said recycling plant based on the processing data input to said database. Recycling processing management system described in 4. 22. The plurality of processes include a disassembly process for dismantling the object to be processed and a crushing process for crushing the object after the disassembly process, wherein the operation plan calculation unit performs a planned operation of the disassembly process. 22. The recycling processing management system according to claim 21, wherein at least one of the number of personnel and the planned operation time is calculated based on the processing data input to the database and the capacity of a crusher used for the crushing processing. 23. Predicting means for predicting a future arrival amount of the processing object brought into the recycling processing plant based on the processing data input to the database, wherein the operation plan calculating means includes: The recycling processing management system according to any one of claims 1 to 22, wherein an operation plan of the recycling processing plant is created based on a prediction result of the prediction unit. 24. Predicting means for predicting a future amount of electric power to be used in the recycling plant based on the processing data input to the database, wherein the operation plan calculating means includes a prediction result of the predicting means. The recycle processing management system according to any one of claims 1 to 23, wherein an operation plan of the recycle processing plant is created based on the following. 25. A recycling processing management method applied to a recycling processing factory for performing a series of plural processings from arrival of a processing target to shipment thereof, wherein each of the plurality of processings is performed on the processing target. When performing, a data acquisition step of acquiring processing data relating to the processing object, and an input step of inputting the processing data acquired by the data acquisition means to a database each time the plurality of processes are performed. When there is a request for output of the processing status of the processing object,
Based on the processing data input to the database,
And a processing status output step of outputting a processing status of the requested processing target.