JPS6018724A - Combined measuring method using a plurality of processing device - Google Patents

Abstract

PURPOSE:To perform combining process in a short time, by using two sets of processing devices, and performing the combining processing by master and slave measuring devices. CONSTITUTION:Weight valus WA, WB and W1-W10 from master measuring machines 101A and 101B and slave-measuring machines 101-1-101-n (n=10) are inputted to a processing device 104 through a multiplexer 102 and an AD converter 103 and stored in a memory 104b. The weight values W6-W10, WA, and WB are sent to a processing device 204 from the processing device 104 and stored in a memory 204b. The processors 104 and 204 combine and add W1-W5 and W6-W10, respectively, and store the data of A and B groups in the memories 104b and 204b. The processing devices 104 and 204 transfer the data of the A and B groups to each other and store the data in the memories 104b and 204b. The data of the A and B groups, WA, and WB are combined and added. The data are compared with the objective weight value, and the optimum combination is extracted. Therefore, the combination processing can be performed in a short time.

Description

[Detailed Description of the Invention] <Industrial Application Field> The present invention uses two of a plurality of weighing machines as master weighing machines and the remaining pn weighing machines as child weighing machines, and performs simultaneous parallel processing by two processing devices. Multiple weighing machine combinations can be obtained in one weighing operation, each containing a separate parent weighing machine, and the total weight of each combination is equal to the target weight or within the set tolerance range. The present invention relates to a combination weighing method equipped with a processing device.

<Prior art> One of the plurality of weighing machines is used as a counting machine, and the rest are used as child weighing machines, and the weighing and data of the parent = -1vA- machine (referred to as new type of ambiguous data) are always included in the new type of weighing machine. Combining the quantity data and the weighing data of the slave counting machine, find a combination in which the combined total weight is equal to the target weight value or the value closest to the target weight value within the set tolerance range, and calculate from the prtit machine of the found combination. Parent-child weighing devices for discharging goods are already known. For example, if the target weight of 1000 @ is to be totaled, approximately 6002 of this parent-child 11-year device q will be put into the new model, and the remaining 1
Weights less than 00Or are obtained by combining sub-weighing machines, and even if the target weight value is too large, highly accurate combined weighing can be achieved by combining small weighing machines with a maximum scale of 1 or by combining a small number of weighing machines. . However, this parent-child weighing device cannot perform high-speed weighing because only one optimal combination is generated for one weighing operation of an item. For this reason, two of the multiple weighing machines were selected - Aya machine,
The remaining weighing machine will be used as a slave weighing machine, and the new model quantity data and the weighing data of the slave weighing machine will be combined so that the new quantity data of the first model customer will be included, and the combined total weight will be equal to the target weight value. 1
~ Squid or the first one closest to the target weight value within the set tolerance range
Then, in order to ensure that the second model's new model weight data is included, the new model weight data is combined with the weighing data of the slave weighing machine that is not included in the first combination to calculate the combined total weight. is equal to the target weight value or is closest to the target weight value within a set tolerance, the items are discharged from the weighing machine of the first combination through the first discharge sheet, and the second The item is discharged from the weighing machine of the combination via the second discharge sheet, and then a new item is put into the weighing machine from which the item was discharged, and the same combination calculation, discharge, and supply are performed thereafter to perform the combination weighing. There are also known parent-child weighing devices that continue.

<Disadvantages of the prior art> However, since the conventional parent-child weighing device sequentially obtains the first and second combinations using only one combination calculation microcomputer, it takes a long time to obtain these combinations. However, the desired high-speed measurement was not possible.

<Object of the Invention> An object of the present invention is to provide a method for measuring a combination of one parent and one child word, which can obtain the first and second combinations in a short time.

Another object of the present invention is to provide a combinatorial split bar method that allows combinational operations to be executed simultaneously and in parallel by a plurality of processing units (microcomputers).

<Summary of the Invention> The present invention is provided with two new models, n slave counters, and two processing devices, and collects the new models' new volume data and the slave i-data of the slave counters. The first combination (i=1
．． The processing device in 2) selects combinations whose total combined weight is close to twice the target weight from among the combinations found by the processing device, and selects the child weighing units participating in the combination so that each combination does not contain one new quantity data. Divide the data and Shinkai 1 data into two, and
Select a combination of two divided groups such that the combined total weight of both divided groups is within the set tolerance range and the difference value of the combined total weight of both groups is the smallest7.
, matching weighing in which two groups obtained by using the combination whose total combined weight is closest to twice the target weight among the combinations selected by each processing device are used as two combinations giving the target weight. It's a method.

<Example> FIG. 1 is a block diagram of a combination weighing device according to the present invention, and FIG. 2 is a flowchart of the same processing.

101-1.101-2.・Song ・101-n is a weighing hopper and a weight detector, and n sub-weighing machines each measure the weight of the supplied items, and 101A, 101B are a weighing hopper and a weight detector. - There are two new machines that each weigh the weight of the items being supplied. 102 is each child crying machine 1
011. -・-=101-n and new model 101A, 1
The weight value Wi (i=1.2.
・・・・・・n), WA.

This is a multiplexer that sequentially outputs WB one by one in response to a weight value read signal WR3, which will be described later, and is constituted by, for example, an analog switch. Reference numeral 103 denotes a first processing unit consisting of an AD converter that converts the weight value Wl, WA, and WB (analog) outputted from the multiplexer 102 into fully digital values, and a 104-microconbeater configuration, and a processor (central processing unit m? ) 104a, RAM (capable of continuous writing) data memory 104b
, memory (ROM) that stores the silk matching processing program
104 c , and an interface circuit 104 d for transferring data with a second processing device to be described later. 105 is a weight setting unit for setting the standard weight eyelid value Wt;
106 (r: I upper limit setting section, 107 is a lower limit setting section, which sets a preferable setting permissible range (upper limit Ma and lower limit @Mi) of the combination total Ij lfl.

Reference numeral 108 indicates a display section for displaying the combination total φ゛, selection counter, defective measurement, etc., and 109 a monthly output control section.

204 C is a second processing device having a microconverter configuration, which includes a processor 204a, a data memory 204b stored in RAM, and a memory (ROM) for storing processing programs.
204c, an interface circuit 204d for transferring data with the first processing device 104, and the like.

Next, the operation shown in FIG. 1 will be explained with reference to the processing flow shown in FIG. 2, assuming that the number of working parties is 2, the number of subsidiary companies is 10, and the number of processing devices is 2.

(a) When a start signal STS is generated from the illustrated packaging machine, the start signal is read by the processor 104a of the first processing device 104. The processor 104a outputs a weight value reading signal WR5 upon generation of the start signal STs.
is output to multiplexer 102. Accordingly, the multiplexer 102 sequentially inputs the weight values Wi (i=1, 2.
...10) and WA, WR to the AD converter 10
3, the AD converter 103 converts this into digital, and the digital t quantity value Wit W obtained by the conversion is
AI WB is the data memo 1J10 of the first processing device 104
4b.

(b) The first processing device 104 calculates the total weight values Wi, WA
, WB is read, the first processing device 104 sends the weight values W6 to WH), WA, WB to the second processing device 204 via the interface 164d, and the second
The processing device M2O4 inputs the weight values W6 to Wto, WA, via the interface 204d and the processor 204a.
Wn is stored in data memory 204b.

After that, the processing device 104 is transferred to the second processing device 20.
4, a command to start the first combination calculation is outputted via the line tn, and the first combination calculation in step (c) shown below is also started.

(c) The first processing device 104 generates 2'' (=32) types of silk combination patterns, combines and adds the five weight values W1 to W5 according to these patterns, and calculates each combination pattern and its combined total weight. 1 to A32 (referred to as the A-th group) are stored in the data memory 104b, and the second processing device also generates 2B (-32) types of combination patterns, and according to these patterns, five weight values W6 to W1° are stored. Combine and add each combination pattern and its combination total weight B1 ~
Bs2 (referred to as iJW B group) as data memo 1J
204b. ...Each processing device has 32
Let's add up the number of silks.

2) Next, the first process: #104 is 1 of Group A.
The total weights A1 to AI6 of the six pieces of silk combined and their combination patterns are sent to the second processing device 204 and data memo 1 is sent.
J204b, and the second processing device 204 sends the 52 combinations i1 of the B-th group B1 to B and their combination patterns to the first processing 'A M 104 and stores them in the data memory 104b. .

(e) When the transmission process is completed, the first processing device 104
A command to start the second combination calculation is sent to the processing device 204 on line A.
n, and also starts the second combinatorial operation of the steps (to) shown below.

(f) The first processing device 104 selects one item from each of the combined total weights iMA+7 to A32 of the A-th group and the combined total weights B1 to B32 of the B-th group, and adds them to 1.
Total weight C of all combinations of 6XS2 (-512) pieces
1 to C512 (referred to as the C-th group), the combined total weights 01 to C51, and their combination patterns are stored in the data memo 1J104b. Similarly, the second processing device 204 processes the combined total weight A+-'A+ of the A-th group.
Select one item from each of the combined weights tBt to B32 of s and B-th group and add them to obtain 16×32 (=512
), all combinations of gold-side weights D1 to D512 (referred to as the D-th group) are stored in the data memory 204b along with these DlxD, . . . and their combination patterns.

...Each processing device performs an addition operation 512 times.

From the above, the weight [2 which is all combinations of 1 straight W1 to W1o]
10 (=, 1024) combination patterns and their combined total weights C1 to canlnl-D 512 are each stored in a data memory IQ4b.

204b.

(G) The first processing device 104 calculates a value Wt' (=2・Wt-WA-WB) obtained by subtracting the sum of the first new model weight data WA and the second new model weight data WB from twice the target weight. Then, the total weight of each combination of the Cth group C1 (1=1.2...512) is stored in the data memo IJ104b.
The difference X1 (=Ci-2Wt+
WA+Wn), and among the combinations in which the difference Xi is within the setting allowable range of twice (2Mi to 2Ma), the combinations are selected in a predetermined order, for example, up to the 3rd place, in descending order of the 1x. Let the combinations up to 5th place be El, El, F3.

Similarly, the second processing device 204 processes the first new quantity data WA.
and the second new type quantity data WB subtracted from twice the target weight wt' (=2Wt - WA - WB) and stored in the data memo IJ204b, and then each combination total type 1iDi of the first group (i = 1. courtesy...512)
The difference Yi (=Di-2Wt+
WA+Wn), and the difference yt is within the double setting tolerance range (2M1 to 2Ma), IYil
Combinations are selected in a predetermined order, for example, up to fifth place, in descending order of . Note that the combinations up to the third place are Fl, F,, F3. However, if there is no combination that exists within the double setting allowable range, the process shifts to the (1-force processing) described later.

(B) The first processing device 104 performs all kinds of divisions that divide the child measurement data and new quantity data that participate in the combination El selected in step (G) into two (same, each of the two divided shall include separate new quantity data). FIG. 5 is an explanatory diagram of the two-division method. Combination E
The new quantity data participating in I is set in W2...If the fifth bit is made to correspond to W5 and the register is made to count from 0 to 51, the bit pattern will be ooooo as shown in Figure 6.
It changes from 11111 to 11111.

Therefore, based on each of the 32 types of bit patterns, a first group consisting of the first parent measurement data WA and child measurement data corresponding to the 1# bit, and a second new model quantity data WB are created.
By dividing the data into a second group consisting of sub-metric data corresponding to the bit II 031, 32 types of division can be obtained. For example, when the count value of the register is 11, the bit pattern is "11010", so the division into two groups is the first group of WA, Wl, %, W4 and the second group of W B, WB, Ws. available.

Next, the first processing device 104 calculates the combined total type %kXIl, Yll of each group divided into two (when the count value of the register is 11, X11 =WA+W1+Wyo+W,, Y,1:WB+W3-+-W, ) is within the set tolerance range. Hello, X11. If no division in which Yll is both within the set tolerance range is obtained, similarly divide the measurement data of the combination El into two and aim for a division in which xli, y, and t are all within the set tolerance range. , if none is obtained, divide the measurement data of combination F3 and obtain Xli,
Find the divisions in which both Yli are within the set tolerance range. If a division in which x1i and Yll are both within the set allowable range for all combinations E1 to E3 is not found, the process jumps to step (S).

Then, in a certain combination El, if each of the two divided combination sum types it Therefore, the divided CAopt is stored.

On the other hand, the second processing device 204 also performs the same processing as the processing by the first processing device 104 described above for the combination Fl + F2 + F3 selected in step (g). Then, if the total weight x*s, x, and i of each of the two divided combinations of combination Fl are within the set allowable range, perform Δ21 = I X2i − Yli I) to find out that Δ21 is the minimum CBopt
is transferred to the first processing device. As a result, the processing of the second processing device 100 is completed, and the processing of the second processing device 100 is thereafter awaited for the iA1st order combination calculation start command from the first processing device.

(Man step) When the force processing is completed, the first processing device 104 determines the optimal division according to the following (a) to (1).

That is, (a) when CAopt is determined and CBopt is not satisfied, CAopt is set as the optimal division, and (b) C
When Aopt does not stay and CBopt does, CBop
Let t be the optimal division, (c) When both CAopt and CBopt are satisfied, I X+ l +Y+ i I and l
X2i +Y! The division that is closer to twice the target weight value is the optimal division, and (d) CAopt.

If both CBopt and CBopt do not match, we will display an alarm and stop the process, or we will supply additional items from the pool hopper to the sub-counters whose weight is less than the specified weight and wait for the start signal from the packaging machine. .

Therefore, if an optimal division is obtained, discharge control is performed using one silk combination nqopt and the other combination nopt obtained by this division. That is, the combination pattern ff1o
outputs pt and nopt to the emission control unit 109,
The items placed in the weighing machine corresponding to 1# of combination pattern m6p t are discharged through the first discharge chute, and the items placed in the weighing machine corresponding to '1'' of combination pattern hop t are discharged through the first discharge chute. is discharged through a second discharge chute, and after discharge, the discharged articles are supplied from the pool hopper to a weighing machine, and a start signal from the packaging machine is received.

<Effects of the Invention> As explained above, according to the present invention, since the combination processing of parent and child weighing is performed simultaneously in parallel using two processing devices, the combination processing can be performed in a short time, and high-speed weighing is possible. It has become possible.

[Brief explanation of the drawing]

Figures 1, 2 and 3 are explanatory diagrams of the combined weighing method of the present invention, where Figure 1 is a block diagram, Figure 2 is a flowchart of the process,
FIG. 6 is an explanatory diagram of the two-division method. 101-1 to 101-n-child weighing machine, 101A, 10
1B-...New model, 102...Multiplexer, 1
03... AD converter, 104... first processing device,
105...Target weight setting section, 106...Upper limit setting section, 107...Lower limit setting section, 109...Emission control section,
204...Second processing bag ft. Patent applicant: Ishida Kouki Seisakusho Co., Ltd. Representative: Patent attorney: Minoru Tsuji (1 other person) 0no'

Claims (2)

[Claims] (1) Two new models, n sub-weighing machines, and two processing devices are installed, and both the master weighing data of the master weighing machine and the sub-weighing data of the sub-weighing machines are combined. All combinations including the parent weighing data are processed by two processing devices, and the first (i=1.
The processing device in 2) selected combinations whose combined total weight was close to twice the target weight from among the combinations found by the processing device, and then selected the combinations so that each of them included one parent total 1゛ data. The child weighing data and the parent weighing data participating in the combination are divided into two, and the combined total weight of both divided groups is within the set tolerance range, and the difference value between the combined total weight of both groups is the smallest. Select two divided combinations, and give the target weight to the two groups obtained by using the combination whose combined total weight is closest to twice the target weight from among the combinations selected by each processing device. A combination weighing method using a plurality of processing devices, characterized in that a combination of sets is performed. (2) Each processing device selects the combination whose combined total weight is closest to twice the target weight, and then divides the child weighing data and parent weighing data participating in the combination into two, and in all cases of splitting into two. If the total weight of both combinations determined does not exist within a set allowable range, the combination that is second closest to twice the target weight is selected as the combination. A combination weighing method using multiple processing devices.