CN100533311C - Embedded type weighing system based on intelligent fuzzy control - Google Patents

Abstract

The invention discloses an embedded weighing system, which is based on intelligence-fuzzy-control. The invention specifically relates to an artificiality-intelligence-analysis-based and fuzzy-control weighing system used for proportioning and delivery procedure. The invention is designed to solve the problems of realizing PID control of two-dimensional fuzzy processing form, commingling information of a multi-type sensor, detecting combined series-parallel failure and the weighing system of local and/or remote control. The adopted proposal is as following: A weighing display controller is respectively connected with a weight sensor, a speed sensor, a superordination computer, a transducer and a programmable controller. The weight sensor and the speed sensor are separately connected with a proportioning belt weigh meter. The proportioning belt weigh meter is connected with a main conveyer. The main conveyer is connected with a programmable controller, a material feeder and a transducer. The superordination computers form an Ethernet network. The weighing display controller solidifies a plurality of control procedures. The invention is applicable to industries such as metallurgy, carbonization, chemical industry, tobacco, tragacanth, pottery and porcelain and extraction of heavy metal.

Description

Embedded type weighing system based on Intelligent Fuzzy Control

Technical field

The present invention is based on the embedded type weighing system of Intelligent Fuzzy Control, be specifically related to a kind of based on artificial intelligence analysis and obfuscation control, be used to prepare burden and the weighing system of course of conveying.

Background technology

More extensive at the weighing technology of batching and course of conveying at present in sector applications such as the energy, metallurgy, manufacturing, traffic, chemical industry, but the weighing system of great majority batching and course of conveying adopts conventional PID regulative mode to control, and its weak point is; The first, accuracy is not high, degree of stability is not high and the intelligent aspect of weighing is relatively backward, can not carry out network management; Second, it is poor that quantitative bag in the whole weighing system claims to adorn scale, burden balance, automatic weight check scale and Real-time and Dynamic regulating power, can not adapt to modern comprehensive batching and induction system, the 3rd, traditional weighing system can not be realized local and/or long-range virtual control, and do not contain fault diagnostic program in the system, though fault diagnostic program is arranged individually, its diagnostic method is identical with traditional electromechanical equipment diagnostic method.

Summary of the invention

The embedded type weighing system problem to be solved that the present invention is based on Intelligent Fuzzy Control is: realize the weighing system that the polymorphic type sensor information merges.The present invention can also realize the function of PID control, the detection of serial parallel mixed fault and this locality and/or the Long-distance Control of two-dimentional Fuzzy Processing form.

In order to address the above problem, the technical solution used in the present invention is: based on the embedded type weighing system of Intelligent Fuzzy Control, mainly comprise: batcher 1, main conveyor 2, weight sensor 3, speed pickup 4, weighing displaying controller 5, host computer 6, frequency converter 7, proportioning belt scale 11 and Programmable Logic Controller 30, its structure is: weighing displaying controller 5 by lead respectively with weight sensor 3, speed pickup 4, host computer 6, frequency converter 7 links to each other with Programmable Logic Controller 30, weight sensor 3 links to each other with proportioning belt scale 11 by lead respectively with speed pickup 4, proportioning belt scale 11 links to each other with main conveyor 2 by lead, main conveyor 2 is also by lead and Programmable Logic Controller 30, and batcher 1 links to each other with frequency converter 7 by lead.

Above-mentioned weighing displaying controller 5 mainly comprises: CPU (central processing unit) 8, clock chip 9, display module 10, filter amplifying processing module 12, shaping unit 13, Communications Processor Module 14, A/D conversion chip 15, power module 16, keyboard 27, bus interface 28, the hardware configuration of weighing displaying controller 5 is: clock chip 9, display module 10, filter amplifying processing module 12, shaping unit 13, Communications Processor Module 14, A/D conversion chip 15, power module 16 and keyboard 27 are in parallel together to be inserted in the CPU (central processing unit) 8, display module 10 links to each other with power module 16, and bus interface 28 links to each other with Communications Processor Module 14;

The control method of the control program 20 of weighing displaying controller 5 is: the first step, the signal that weight sensor 3 is sent into is handled through filter amplifying processing module 12 and A/D conversion chip 15, after the signal that synchronization is sent into speed pickup 4 is handled through shaping unit 13, send into CPU (central processing unit) 8, the computing method that CPU (central processing unit) 8 is called in the algorithm of weighing again calculate this real-time flow data and certain section interior integrated flow value of time constantly, CPU (central processing unit) 8 is read in the fill order of carving fuzzy control program 17 for the moment by host computer 6, send it to fuzzy control program 17 as this moment flow set-point, and show by display module 10; In second step, instantaneous delivery value and flow set-point that the first step is drawn after carrying out fuzzy regulating-controlling program 17, send fill order after handling by A/D conversion chip 15; The 3rd step, the fill order adjustment is after divide three tunnel outputs, wherein one the tunnel send host computer 6 to, after host computer 6 is handled the new flow set-point of back output with it, turn back in the weighing displaying controller 5, the second tunnel sends frequency converter 7 to, thereby regulates the motion of batcher 1, Third Road passes to Programmable Logic Controller 30, thereby regulates the motion of main conveyor 2; In the 4th step, weight sensor 3 is measured the new data of batcher 1, and speed pickup 4 is measured the new data of main conveyor 2, and it is sent into the measured value of CPU (central processing unit) 8 as next flow process.

The method of the fixed length weight zero clearing program 26 the when control program 20 of above-mentioned weighing displaying controller 5 also comprises 11 idle running of proportioning belt scale: the length of at first importing proportioning belt, read in the instantaneous value of belt speed again, utilize integration method to try to achieve the belt running length then, judge again whether belt has moved a week, if do not have, just continue to read in the instantaneous value of belt speed, moved a week up to belt, weight zeroing then, the gravimetric value that all zeroing number of times are obtained is averaged again, then, and one tunnel output, another road enters the time zero clearing again, and the continuation of returning is then measured belt speed and carried out next cycle zero clearing calculating.

Above-mentioned fuzzy control program 17 adopts traditional PID regulating-controlling program 18 and fuzzy control program 19 parallel uses;

Wherein the control method of fuzzy control program 17 is: at first, receive that real-time flow data and host computer 6 give last one constantly during the flow set-point, again real-time flow data and host computer 6 are given last one constantly the flow set-point calculate this flow deviation value constantly by the computing method in the algorithm of weighing, then the flow deviation value is compared with the normal flow deviate that configures, when if the flow deviation value is less than or equal to the normal flow deviate that configures, just draw fill order, adjust back output according to traditional PID regulating-controlling program 18; If the flow deviation value during greater than the normal flow deviate that configures, just draws fill order according to fuzzy control program 19, adjust the back and export.

The control method of above-mentioned fuzzy control program 19 is: at first, read in the real-time flow data in this moment and calculate this flow change rate constantly by the computing method in the algorithm of weighing, through behind the fuzzy reasoning, reset the numerical value of parameter p, i and the d of PID, parameter p, i and d through new settings carries out PID adjusting computing again, draws this fill order constantly.

The Communications Processor Module 14 of the above-mentioned weighing system of many groups by weighing displaying controller 5 and bus interface 28 link to each other with host computer 6 separately respectively, link to each other by router two 1 between the host computer 6, router two 1, remote control computer 22, master server 23 link to each other by Ethernet switch 24, Ethernet switch 24 also links to each other with IP backbone network 25, has constituted the Ethernet structure.

In above-mentioned host computer 6 and/or remote control computer 22, solidify virtual instrument program and fault diagnosis system, realized on-the-spot and/or long-range simulation, record and control execute-in-place process.

Method at the trouble-shooting sensing station in the above-mentioned failure diagnostic process system is: earlier looked-up sequence is divided into some from high to low levels, a plurality of one decks down in each top management, adopt polyphone and/or form in parallel to connect under each between the unit of one deck inside, place all sensors on the bottom and carrying out parallel connection or polyphone, then, press the sequential query fault of layer from high to low, last, find out each fault sensor.

The embedded type weighing system that the present invention is based on Intelligent Fuzzy Control compared with prior art has following beneficial effect:

1, adopt multiple sensors (to comprise speed pickup owing to the present invention is based on the embedded type weighing system of Intelligent Fuzzy Control, weight sensor) the parallel use, system carries the real-time clock timing, after the DATA REASONING through amplification and the processing of the means of shaping after accurate, reliably, bring convenience and improve the accuracy of calculating to calculating, system has been embedded in various control program and communications protocol, solidified the virtual instrument program in host computer 6 and/or the remote control computer 22, program is regulated in fault diagnosis system and weight zero clearing, on-the-spot and/or long-range simulation have been realized, record and control execute-in-place process, on-the-spot and/or long-range simulation, the industry control mode of record and control execute-in-place process and existing electromechanical integration equipment is basic identical, the field data that can realize weighing system transmits in real time, the scene is monitored in real time, thus real real-time industrial control robotization; But its virtual connection that adopts multi-level connection in series-parallel to mix mutually of the sensor of fault diagnosis system, make troubleshooting more convenient, make seek rate improve 50% one 80%, fixed length weight zero clearing program 26 adopts the C language compilation, belt zeroing algorithm is a fixed length zeroing mode, it is that benchmark returns to zero with the length of belt conveyer scale, the intact circle zeroing of belt revolution once, having overcome the error that belt causes can not constant-speed operation the time, is time that strap length draws divided by belt speed to be that the zero setting accuracy of benchmark is higher than in the past belt zeroing algorithm employing time zeroing mode.

2, the weighing displaying controller 5 main fuzzy control programs 17 that adopt are realized Real-time and Dynamic regulating system deviation, and fuzzy control program 17 adopts traditional PID regulating-controlling program 18 and fuzzy control program 19 parallel uses, when the deviation of system during less than setting value, adopt traditional PID regulating-controlling program 18 to carry out minor adjustments, when the deviation of system during more than or equal to setting value, adopt fuzzy control program 19 to carry out bigger adjusting, thereby it is more reasonable that PID is regulated, more accurate, thus reach reasonably regulating system deviation of Real-time and Dynamic.

3, the Communications Processor Module 14 of many groups weighing system of the present invention by weighing displaying controller 5 links to each other with host computer 20 separately respectively, link to each other by router two 1 between the host computer 20, router two 1, remote control computer 22, master server 23 links to each other by Ethernet switch 24, Ethernet switch 24 also links to each other with IP backbone network 25, constituted the Ethernet structure, LAN (Local Area Network) and interconnected entoilage telemanagement have been realized, detect and control, make remote control computer 22 can visit and control host computer 20 and weighing displaying controller 5, host computer 20 can only be visited but can not be controlled remote control computer 22.

Description of drawings

Below in conjunction with accompanying drawing the embedded type weighing system that the present invention is based on Intelligent Fuzzy Control is further described:

Fig. 1 is the structural representation that the present invention is based on the embedded type weighing system of Intelligent Fuzzy Control;

Fig. 2 is the hardware structure diagram of weighing displaying controller 5 shown in Figure 1;

Fig. 3 is the Ethernet structural drawing that the present invention is based on the embedded type weighing system of Intelligent Fuzzy Control shown in Figure 1;

Fig. 4 is the main flow chart of weighing system shown in Figure 1 and the process flow diagram of weighing displaying controller 5;

Fig. 5 is the process flow diagram of the fixed length weight zero clearing program 26 in the described main flow chart of Fig. 4;

Fig. 6 is the process flow diagram of fuzzy control program 17 among Fig. 4;

Fig. 7 is the process flow diagram of the trouble-shooting sensing station of host computer 6 shown in Figure 4 and/or remote control computer 22;

Fig. 8 is the virtual location structural drawing of sensor in the fault diagnosis system of host computer 6 shown in Figure 4 and/or remote control computer 22;

Fig. 9 is CPU (central processing unit) 8 circuit theory diagrams of weighing displaying controller 5 shown in Figure 2.

Among above-mentioned Fig. 1-6: 1-batcher, 2-main conveyor, 3-weight sensor, 4-speed pickup, 5-weighing displaying controller, 6-host computer, 7-frequency converter, 8-CPU (central processing unit), 9-clock chip, 10-display module, 12-filter amplifying processing module, 13-shaping unit, 14-Communications Processor Module, 15-A/D conversion chip, 16-power module, 17-fuzzy control program, 18-traditional PID regulating-controlling program, 19-fuzzy control program, the control program of 20-weighing displaying controller 5,21-router, 22-remote control computer, 23-master server, 24-Ethernet switch, 25-IP backbone network, 27-keyboard, 28-bus interface, 30-Programmable Logic Controller.

Embodiment

Fig. 1 is the structural representation that the present invention is based on the embedded type weighing system of Intelligent Fuzzy Control, embedded type weighing system shown in the figure based on Intelligent Fuzzy Control, mainly comprise: batcher 1, main conveyor 2, weight sensor 3, speed pickup 4, weighing displaying controller 5, host computer 6, frequency converter 7, proportioning belt scale 11 and Programmable Logic Controller 30, its structure is: weighing displaying controller 5 by lead respectively with weight sensor 3, speed pickup 4, host computer 6, frequency converter 7 links to each other with Programmable Logic Controller 30, weight sensor 3 links to each other with proportioning belt scale 11 by lead respectively with speed pickup 4, proportioning belt scale 11 links to each other with main conveyor 2 by lead, main conveyor 2 is also by lead and Programmable Logic Controller 30, and batcher 1 links to each other with frequency converter 7 by lead; Its data transmission procedure is: after weight sensor 3 and speed pickup 4 are measured proportioning belt scale 11 real time datas respectively, give weighing displaying controller 5 with data transfer, divide three the tunnel to transmit through the concurrent control command that makes new advances of weighing displaying controller 5 demonstration real time datas, wherein one the tunnel pass to host computer 6, newer data are turned back to weighing displaying controller 5 after host computer 6 is handled; The second the tunnel passes to frequency converter 7, and frequency converter 7 sends new work order again and is delivered to batcher 1; Third Road passes to Programmable Logic Controller 30, and Programmable Logic Controller 30 sends new work order again and is delivered to main conveyor 2, so periodic duty.

Fig. 2 is the hardware structure diagram of weighing displaying controller 5 shown in Figure 1; Weighing displaying controller 5 mainly comprises among the figure: CPU (central processing unit) 8, clock chip 9, display module 10, filter amplifying processing module 12, shaping unit 13, Communications Processor Module 14, A/D conversion chip 15, power module 16, keyboard 27, bus interface 28, the hardware configuration of weighing displaying controller 5 is: clock chip 9, display module 10, filter amplifying processing module 12, shaping unit 13, Communications Processor Module 14, A/D conversion chip 15, power module 16 and keyboard 27 are in parallel together to be inserted in the CPU (central processing unit) 8, display module 10 links to each other with power module 16, and bus interface 28 links to each other with Communications Processor Module 14; Wherein power module 16 can adopt analog power module and digital power module, and Communications Processor Module 14 can adopt RS232, RS485 and netting twine interface.

Fig. 3 is the Ethernet structural drawing that the present invention is based on the embedded type weighing system of Intelligent Fuzzy Control shown in Figure 1, the Communications Processor Module 14 of the above-mentioned weighing system of many groups by weighing displaying controller 5 and bus interface 28 link to each other with host computer 6 separately respectively among the figure, and communication mutually, link to each other by router two 1 between the host computer 6, router two 1, remote control computer 22, master server 23 links to each other by Ethernet switch 24, Ethernet switch 24 links to each other with IP backbone network 25, constituted the Ethernet structure, communication mutually between each equipment in the network, and set remote control computer 22 and can visit and control host computer 6, host computer 6 can be visited but can not be controlled remote control computer 22.

Fig. 4 is the main flow chart of weighing system shown in Figure 1 and the process flow diagram of weighing displaying controller 5, the main flow chart of weighing system is: be introduced into [start program 29], enter [control program 20 of weighing displaying controller 5] then, after the calculating and control of the control program of process weighing displaying controller 5, fill order is through [adjusting back output 34] back three tunnel outputs of [control program 20 of weighing displaying controller 5], the first via enters [host computer 6 resets set-point 40], [host computer 6 resets set-point 40] sends the set-point of new settings in [the reading in new set-point and measured value 31] in [control program 20 of weighing displaying controller 5] again, the second the tunnel enters [frequency converter action 35], frequency converter is given an order and is entered [batcher action 36], after [batcher action 36] action, enter by [weight sensor 3 detect 38], weight sensor 3 detects after the new data in [the reading in new set-point and measured value 31] in sending [control program 20 of weighing displaying controller 5] to; Third Road enters [Programmable Logic Controller action 32], Programmable Logic Controller 30 is given an order and is entered [main conveyor action 37], after [main conveyor action 37] action, enter by [speed pickup 4 detect 39], speed pickup 4 detects after the new data in [the reading in new set-point and measured value 31] in sending [control program 20 of weighing displaying controller 5] to.

The program circuit of above-mentioned [control program 20 of weighing displaying controller 5] is: at first enter [reading in new set-point and measured value 31], then data are divided two-way to handle, one the tunnel enters [demonstration real-time measurement values 33] carries out the real time data demonstration, another road enters [fuzzy control program 17], enters [adjusting back output 34] after treated.

Fig. 5 is the process flow diagram of the fixed length weight zero clearing program 26 in the described main flow chart of Fig. 4, at first enter [beginning 58], enter [length 59 of input proportioning belt] then, enter [speed 60 of measuring belt in real time] again, enter [utilizing integration to ask the length 61 of belt operation] again, entering [judging whether to have moved a circle 62] then judges, if do not have, just return enter [speed 60 of measuring belt in real time], if to a circle, just enter [zeroing 63], then output in two steps, wherein one the tunnel enter [time t zero clearing 65], enter [speed 60 of measuring belt in real time] again and carry out the next cycle zero clearing; Another road enters [whole cycles are averaged 64], enters [finishing 66] at last, and sense data gets final product.Fixed length weight zero clearing program 26 adopts the C language compilation, belt zeroing algorithm is a fixed length zeroing mode, it is that benchmark returns to zero with the length of belt conveyer scale, the intact circle zeroing of belt revolution once, having overcome the error that belt causes can not constant-speed operation the time, is time that strap length draws divided by belt speed to be that the zero setting accuracy of benchmark is higher than in the past belt zeroing algorithm employing time zeroing mode.

Fig. 6 for the process flow diagram of fuzzy control program 17 among Fig. 4 is: at first enter [beginning 41], enter [deviation and the deviation variation rate 42 that calculate a measured value and a last output valve] again, enter then that [deviation is less than setting deviation not? 43] judge, if, [is deviation less than setting deviation not? 43] just enter [traditional PID regulating-controlling program 18], enter [adjusting back output 34] again; If not, [is deviation less than setting deviation not? 43] just enter [fuzzy control program 19], enter [adjusting back output 34] again.

The process flow diagram of above-mentioned fuzzy control program 19 is: be introduced into [reading in deviation and deviation variation rate 46], enter [fuzzy quantization handles 47] again, enter [value 48 that resets pid parameter Kp, Ki and Kd] as calculated, enter [carrying out PID computing 49] again, enter [adjusting back output 34] at last.

The fuzzy quantization processing procedure is:

Wherein the PID operational formula is:

$u\left(t\right)=K_P[e\left(t\right)+\frac{1}{T_I}{\∫}_0^{t}e\left(t\right)\mathrm{dt}+T_D\frac{d}{\mathrm{dt}}e\left(t\right)]$

In the formula: u (t): the output signal of PID controller

E (t): the input deviation signal of PID controller

K _P: scale-up factor

T _I: integration time constant, T _IBig more, integral action is weak more, and integral time is long more

T _D: derivative time constant

The PID controller adopts general increment or digital algorithm, and its parameter is adjusted routinely.

Fuzzy control is a kind of rule-based control, and it adopts language type control law, and site operation personnel's control experience or relevant expert's knowledge are become computing machine acceptable controlling models, allows computing machine replace the people effectively to control.

In the weighing displaying controller 5 with given flow Y _gThe instantaneous delivery Ym that calculates with instrument compares, and obtains flow deviation e, if when deviation is big, adopts fuzzy control.Deviation e obtains the rate of change of deviation e behind differential

E and

Controlled quentity controlled variable U through obtaining can't directly control controlled device, must it be transformed in the receptible basic domain of controlling object institute by a scale factor to go, and its value is decided by the universe of fuzzy sets of controlled quentity controlled variable U and the controlled quentity controlled variable size of practical object.

Be respectively deviation and deviation variation rate, u is output, gets its basic domain and is:

E＝[-15，+15]， $\stackrel{\·}{E}=[-10,+10],$ U＝[-20，+20]

Above-mentioned basic domain is quantified as universe of fuzzy sets:

$E\⇒X=\{-6,-5,-4,-3,-2,-1,-0,+0,+1,+2,+3,+4,+5,+6\}$ $\stackrel{\·}{E}\⇒Y=\{-6,-5,-4,-3,-2,-1,0,+1,+2,+3,+4,+5,+6\}$

$U\⇒Z=\{-6,-5,-4,-3,-2,-1,0,+1,+2,+3,+4,+5,+6\}$

Can get thus:

The quantizing factor Ke=6/15=0.4 of error e,

Error rate

Quantizing factor Kc=6/10=0.6

Controlled quentity controlled variable changes the scale factor K u=6/20=0.3 of u

Determine the fuzzy subset and be subordinate to kilsyth basalt

If A, B, C is respectively X, Y, the fuzzy subset of Z

A＝{PB，PM，PS，PO，NO，NS，NM，NB} B＝{PB，PM，PS，O，NS，NM，NB}

C＝{PB，PM，PS，O，NS，NM，NB}

To fuzzy subset A, B, C determine that each element is as shown in the table to its degree of membership in its quantification domain:

Table 1 E is subordinate to kilsyth basalt

Table 2

Be subordinate to kilsyth basalt

Table 3 U is subordinate to kilsyth basalt

According to batcher 1 operating experience, sum up following fuzzy control rule table 4:

Table 4 fuzzy control rule

For all corresponding fuzzy relation of the 7 * 8=56 bar control law in the last table, have in the table * number the space representative situation that can not occur, be called the dead band, so we can obtain 52 fuzzy relations:

${\hat{R}}_1={[{\left(\mathrm{PB}\right)}_E\×{\left(\mathrm{PM}\right)}_{\stackrel{\·}{E}}]}^T\×{\left(\mathrm{NM}\right)}_U$ ${\hat{R}}_2={[{\left(\mathrm{PB}\right)}_E\×{\left(\mathrm{PS}\right)}_{\stackrel{\·}{E}}]}^T\×{\left(\mathrm{NB}\right)}_U$

......

${\hat{R}}_{51}={[{\left(\mathrm{NB}\right)}_E\×{\left(\mathrm{NS}\right)}_{\stackrel{\·}{E}}]}^T\×{\left(\mathrm{PB}\right)}_U$ ${\hat{R}}_{52}={[{\left(\mathrm{NB}\right)}_E\×{\left(\mathrm{NM}\right)}_{\stackrel{\·}{E}}]}^T\×{\left(\mathrm{PM}\right)}_U$

By to these 52 fuzzy relations

Get " also " computing, can obtain the total fuzzy relation of feed proportioning system control law

The control of amount is determined

The fuzzy set of plan U $U=(E\×\stackrel{\·}{E})\·R$

According to the fuzzy set U that obtains above, use the maximum membership degree method it is carried out fuzzy judgment, can obtain control corresponding amount u, and then it is as follows to obtain fuzzy polling list:

Table 5 fuzzy polling list

Above-mentioned control question blank generally is stored in the computing machine, at each control cycle, computing machine with the actual error e (k) that collects (k=0,1 ...) and the error that calculates change e (k)-e (k-1) and multiply by quantizing factor Ke respectively, Kc, obtain the e (i) in the table then, e (j), the corresponding controlled quentity controlled variable u (z) of the capable j row of i in the inquiry fuzzy control rule table, multiply by the changing value that scale factor K u obtains the working control amount again, reach the purpose of control mass flow by the control of conversion device.

The instantaneous delivery Ym that instrument calculates compares, and obtains flow deviation e, if when deviation is big, adopts fuzzy control.Deviation e obtains the rate of change of deviation e behind differential

E and

Through obtaining after the fuzzy quantization reasoning

As the input of fuzzy controller, U is the output of controller.Ke wherein, Kc is a quantizing factor, be with input precision and quantity-variation e,

Be mapped as in the corresponding universe of fuzzy sets gain of discrete shaping value one by one by basic domain, its value is by the scope decision of two domains; Ku is the scale factor of output controlled quentity controlled variable U, because the controlled quentity controlled variable U that obtains through FUZZY ALGORITHMS FOR CONTROL can't directly control controlled device at every turn, must it be transformed in the receptible basic domain of controlling object institute by a scale factor and go, its value is decided by the universe of fuzzy sets of controlled quentity controlled variable U and the controlled quentity controlled variable size of practical object.

Fig. 7 is the process flow diagram of the trouble-shooting sensing station of host computer 6 shown in Figure 4 and/or remote control computer 22, at first enter [searching beginning 53], [enter top search 54] then, after finding out the fault layer, [entering the middle layer 55 of breaking down], find out the bottom that breaks down after, [entering the bottom 55 that breaks down], enter [searching 57 one by one] again and get final product, other failure diagnostic processes are identical with traditional electromechanical equipment diagnostic procedure.

Fig. 8 is the virtual location structural drawing of sensor in the fault diagnosis system of host computer 6 shown in Figure 4 and/or remote control computer 22, behind a plurality of weight sensors 3 and speed pickup 4 parallel connections or the polyphone, form the bottom 52, a plurality of lowermost layer 52 middle layer 51 of inserting in parallel together, back in parallel together, a plurality of middle layers 51 insert search top 50, top-down sequential search fault sensor when searching.

Fig. 9 is CPU (central processing unit) 8 circuit theory diagrams of weighing displaying controller 5 shown in Figure 2, and CPU (central processing unit) 8 employing models are the single-chip microcomputer of ADuC845 among the figure, and its structure is:

Wherein pin 1 is connected filter amplifying processing module 12 with pin 2; Pin 20, pin 34 and pin 48 connect power module 16; Pin 16 is connected Communications Processor Module 14 with pin 17, and Communications Processor Module 14 is existing module; Pin 22 is connected shaping unit 13 with pin 23, and shaping unit 13 is existing signal processing unit; Pin 32 is connected clock circuit with pin 33, comprises clock chip 9 in the clock circuit; Pin 46, pin 49, pin 50, pin 51 and pin 52 are connected keyboard 27; Pin 29, pin 30, pin 31 and pin 36 are connected display module 10.

Claims (7)

1. based on the embedded type weighing system of Intelligent Fuzzy Control, mainly comprise: batcher (1), main conveyor (2), weight sensor (3), speed pickup (4), weighing displaying controller (5), host computer (6), frequency converter (7), proportioning belt scale (11) and Programmable Logic Controller (30), it is characterized in that: weighing displaying controller (5) by lead respectively with weight sensor (3), speed pickup (4), host computer (6), frequency converter (7) links to each other with Programmable Logic Controller (30), weight sensor (3) links to each other with proportioning belt scale (11) by lead respectively with speed pickup (4), proportioning belt scale (11) links to each other with main conveyor (2) by lead, main conveyor (2) is also by lead and Programmable Logic Controller (30), and batcher (1) links to each other with frequency converter (7) by lead.

2. the embedded type weighing system based on Intelligent Fuzzy Control according to claim 1, it is characterized in that: weighing displaying controller (5) mainly comprises: CPU (central processing unit) (8), clock chip (9), display module (10), filter amplifying processing module (12), shaping unit (13), Communications Processor Module (14), A/D conversion chip (15), power module (16), keyboard (27), bus interface (28), the hardware configuration of weighing displaying controller (5) is: clock chip (9), display module (10), filter amplifying processing module (12), shaping unit (13), Communications Processor Module (14), A/D conversion chip (15), power module (16) and keyboard (27) are in parallel together to be inserted in the CPU (central processing unit) (8), display module (10) links to each other with power module (16), and bus interface (28) links to each other with Communications Processor Module (14);

The control method of the control program (20) of weighing displaying controller (5) is: the first step, the signal that weight sensor (3) is sent into is handled through filter amplifying processing module (12) and A/D conversion chip (15), after the signal that synchronization is sent into speed pickup (4) is handled through shaping unit (13), send into CPU (central processing unit) (8), the computing method that CPU (central processing unit) (8) is called in the algorithm of weighing again calculate this real-time flow data and certain section interior integrated flow value of time constantly, CPU (central processing unit) (8) is read in the fill order of carving fuzzy control program (17) for the moment by host computer (6), send it to fuzzy control program (17) as this moment flow set-point, and show by display module (10); In second step, instantaneous delivery value and flow set-point that the first step is drawn behind PID regulating-controlling program (17), send fill order after handling by A/D conversion chip (15); The 3rd step, the fill order adjustment is after divide three tunnel outputs, wherein one the tunnel send host computer (6) to, after host computer (6) is handled the new flow set-point of back output with it, turn back in the weighing displaying controller (5), the second tunnel sends frequency converter (7) to, thereby regulates the motion of batcher (1), Third Road passes to Programmable Logic Controller (30), thereby regulates the motion of main conveyor (2); In the 4th step, weight sensor (3) is measured the new data of batcher (1), and speed pickup (4) is measured the new data of main conveyor (2), and it is sent into the measured value of CPU (central processing unit) (8) as next flow process.

The method of the fixed length weight zero clearing program (26) the when control program (20) of above-mentioned weighing displaying controller (5) also comprises 11 idle running of proportioning belt scale: the length of at first importing proportioning belt, read in the instantaneous value of belt speed again, utilize integration method to try to achieve the belt running length then, judge again whether belt has moved a week, if do not have, just continue to read in the instantaneous value of belt speed, moved a week up to belt, weight zeroing then, the gravimetric value that all zeroing number of times are obtained is averaged again, then, and one tunnel output, another road enters the time zero clearing again, and the continuation of returning is then measured belt speed and carried out next cycle zero clearing calculating.

3. the embedded type weighing system based on Intelligent Fuzzy Control according to claim 2 is characterized in that: fuzzy control program (17) adopts traditional PID regulating-controlling program (18) and the parallel use of fuzzy control program (19);

Wherein the control method of fuzzy control program (17) is: at first, receive that real-time flow data and host computer (6) give last one constantly during the flow set-point, again real-time flow data and host computer (6) are given last one constantly the flow set-point calculate this flow deviation value constantly by the computing method in the algorithm of weighing, then the flow deviation value is compared with the normal flow deviate that configures, when if the flow deviation value is less than or equal to the normal flow deviate that configures, just draw fill order, adjust back output according to traditional PID regulating-controlling program (18); If the flow deviation value during greater than the normal flow deviate that configures, just draws fill order according to fuzzy control program (19), adjust the back and export.

4. the embedded type weighing system based on Intelligent Fuzzy Control according to claim 3, it is characterized in that: the control method of fuzzy control program (19) is: at first, read in the real-time flow data in this moment and calculate this flow change rate constantly by the computing method in the algorithm of weighing, through behind the fuzzy reasoning, reset the numerical value of parameter p, i and the d of PID, parameter p, i and d through new settings carries out PID adjusting computing again, draws this fill order constantly.

5. according to any described embedded type weighing system in the claim 1-4 based on Intelligent Fuzzy Control, it is characterized in that: organize the Communications Processor Module (14) of this weighing system by weighing displaying controller (5) and bus interface (28) more and link to each other with host computer (6) separately respectively, link to each other by router (21) between the host computer (6), router (21), remote control computer (22), master server (23) link to each other by Ethernet switch (24), Ethernet switch (24) also links to each other with IP backbone network (25), has constituted the Ethernet structure.

6. the embedded type weighing system based on Intelligent Fuzzy Control according to claim 5, it is characterized in that: in host computer (6) and/or remote control computer (22), solidified virtual instrument program and fault diagnosis system, realized on-the-spot and/or long-range simulation, record and control execute-in-place process.

7. the embedded type weighing system based on Intelligent Fuzzy Control according to claim 5, it is characterized in that: the method at the trouble-shooting sensing station in the failure diagnostic process system is: earlier looked-up sequence is divided into some from high to low levels, a plurality of one decks down in each top management, adopt polyphone and/or form in parallel to connect under each between the unit of one deck inside, place all sensors on the bottom and carrying out parallel connection or polyphone, then, press the sequential query fault of layer from high to low, at last, find out each fault sensor.

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