METHOD AND DEVICE TO PICK UP, TRANSPORT AND PUT DOWN A LOAD

Abstract: A crane control based on recorded location data and observed ambient data provided by at least one identifier (1, 2). The goods to be conveyed by the crane can be controlled to the location site. The identifier (1, 2) takes pictures of at least two different areas, which is implemented so that the identifier (1, 2) is pivotable, or fixed, whereby the certain image area directed to the identifier is reflected from a reflecting surface (30).

Description: METHOD AND DEVICE TO PICK UP, TRANSPORT AND PUT DOWN A LOAD The objective of the invention is a method for conveying a load between location sites, preferably sub-methods for gripping the load, placing the load on a desired site and for controlling the crane based on information received from the identification means, as well as an equipment therefor A crane is used to lift and move rolls, containers or cor¬ responding products from one place to another with at least one grip member, e g a C-hook, or with two grip members placed on the opposite sides of the load to be gπppeα, or with several grip members Bridge cranes, hosting cranes, knuckle boom cranes can be moved fairly precisely on rails, but several factors, such as wind, stretching of the crane cable, swings, bending of the crane construction caused by the weight of tne load to be lifted, cause trouble m grip¬ ping the load and moving it to a desired site Piling of the load causes trouble when the first goods are placed at the bottom of the load, or when stacking the outei portions of the pile, wnen there is not corresponding goods on the other side of the goods to be stacked but an edge, e g the edge of a ship nold cr a floor (empty) This has been a problem due tc the lack of a suitable observation means for this purpose to survey the desired site to obtain an image of the correct angl ; All machines, ships, trains, tiucks and movable gooαc car. temporarily De positioned m relation to each other either by measuring electrically or also physically by a metering device A known satellite posi¬ tioning is the CSP-method (Global Positioning System) , in which the positioning of the gripper or the machine part m relation to the positioning satellites is implemented with an accuracy of 0,1 - 1 meter The GSP-positionmg functions so far only outdoors This is not always functional or sufficiently accurate When loads are being conveyed on crane cables, the load comes into a swinging movement, which makes the work diffi- cult. The swings have been taken into consideration by using e.g. a synchronizer, whereby each produced change of acceleration is followed by another equally big change but in the opposite direction after a certain time period. To damp the swing, an optimal speed profile is calculated for the motion, which eliminates the swing at the end of the motion and minimizes the time used for the motion. Pre¬ viously known solutions have thus defined the swing equati¬ on of the load based on calculated values . The swing of the load can be controlled by the information. The swing cont¬ rol is in fact based on the calculated default formula. No real time control is arranged. When current systems use different counterforces to absorb the load swing, the tar¬ get site might drift elsewhere than to a certain site, and a repetition of the same stop event at the same known tar¬ get site seems fairly theoretical. The swing absorption of the load should also function with a gantry robot lifting pillar or other structure preventing the free swinging of the load and the gripper. The robot lifting pillar is assumed to be rigid with a small load. When the bulk to be transferred is increased, bending is conducted also on the pillar by the load carrying struc¬ tures, but these do not follow the mathematical harmonic swing formula, because the load carrying structures of the load act as springs. The arranging of the swing absorption by some mathematical formula would thus require empirical tests, as the spring constants etc. of the structures vary in e.g. a bridge construction according to how close the trolley is from the end carriers of the bridge. The above presented situations can also be managed by the invention. The problem can e.g. be that when the crane driver obtains information about the transit distance of the cable, this does not generally enable him to drive the load sufficient¬ ly accurate to the desired site, as e.g. the 10 ton and 30 ton load carried by the crane causes a bending of a diffe¬ rent size on the crane bridge and also on the stretching of the cable. Changes in the loading platform of the goods (ship's draft) can also cause problems to the crane driver. One solution to the above mentioned problems has been to e.g. identify lines marked in the ground or alike by a recognition means provided in the crane, based on which the load is transferred and the location becomes known. This is characteristic for container travelling gantry cranes. The markings cause additional work and the maintenance can be difficult . An improvement is achieved by the invention to the above mentioned matters. The invention is substantially characte¬ rized in what is presented in the claims regarding a method for conveying a load between location sites, preferably regarding sub-methods for gripping the load, placing the load on a desired site and for controlling the crane based on information received from the recognition means, as well as regarding an equipment therefor. A technical solution is presented both for the gripping situation of the goods and for the transferring of the goods in the gripper to a pre-known mathematical environ ¬ ment. All previously known solutions have aimed at inc¬ reasing the loading effectiveness with fixed recognition means, sensors, cameras, which has required the use of different auxiliaries, as presented above. The invention avoids marking of lines. The view angle of the camera used can further be selected and freely adjusted. Only the cer¬ tain area of the picture can be viewed. The advantage of the invention is also that the crane driver can be given the necessary control data so that the crane driver can concentrate on driving. The load swing is according to the invention controlled almost in real time. Calculation of different swing equations or the like is avoided. The in- vention aims in fact essentially at real time observation, i.a. the location of the load in relation to the target area or a possible obstacle is known. One feature of the invention is also that it improves the possibilities of preventing transport damage of the goods. The invention is below described with reference to the specification and the figures, wherein fig. 1 shows a basic picture of the conveying sys¬ tem; fig. 2 illustrates as a basic picture the transfer¬ ring of the load from one site to another; fig. 3 presents a method of defining the image area; fig. 4 presents a method of establishing the transi¬ tion of the image area; fig. 5 shows the swing motion of the load m relati¬ on to the trolley; fig. 6 shows a picture of the camera reviewing area; fig. 7 shows different positions of the camera in relation to the load Lo b<=> transferred; fig. 8 presents one form of embodiment of the grip¬ per and the cameras; fig. 9 shows an enlargement of the gripper according to fig. 8 ; fig. 10 presents the turning equipment of the reflec¬ ting surface; fig. 11 presents a basic picture of the data manage¬ ment system; fig. 12 presents a flow diagram of the swing damping from its establishment to the crane or robot control ■ fig. 13 is a picture of the measuring of the distance between the grippei" and the object by laser beam. Fig. 1 presents a common lift arrangement between two or several stacks of goods in a harbor container crane opera¬ tion area from two directions. In an automatic or semi- automatic transferring operation the lifting of the goods is implemented based on the typesetting figures recorded m the computer or logic memory. The typesetting figure com ¬ prises the summing data of the reference points and the deviation files, which form the point space of the crane, defining the theoretical (pre-calculated) location place of the product m the stack 15, goods van 16 and ship 17 The theoretical location site is specified based on the real picture given by the camera from where the information is transmitted to the crane control system m order to find the right location site of the product The points A, B, C, D and E depict the reference points of each pile to which the deviation is summed to provide information about the individual position of each product in relation to the reference point of the stack In fig 1 E n,n or m,n,m=ιn- teger contains the theoretical data of the desired location place of each desired product, such as the container, reel, m relation to the reference point Based on this data and the data provided by the camera the grippers are controlled to place the product m the location place defined by data obtained m advance Due to stretching of the cable, wind, etc the location place has to be changed based on image data obtained from the camera The crane is movable on a rail and/or by different carrier, 31b, etc solutions The crane can be provided with several shafts operating simul¬ taneously The crane can be manually operated, semi-automa¬ tic or automatic For example, although the selected point would have been changed, e g the previous truck is loaded and a new truck has been driven close to the truck loading place, to the place '999' -point, the gripper starts loading the truck from the beginning, from the first record of the deviation file The vertical intersection point of the truck front loading platform has been programmed into this deviation point as the entry system check point Even if the position of the truck should be slightly different from the previous one, the gripper searches the loading platform front angle based on the camera picture data, and takes the first con¬ tainer on the platform. The next container, m the deviati¬ on point 2, focuses the camera on the vertical intersection point of the first container observing simultaneously the height change that occurred m the height of the pattern recognition (about one container upwards) Besides the management and control of the camera system based on data saved m the memory, the position and deceleration points of the new product to be transferred are compared to the previous product or products, which determine when the crane is to be operated slower, i.e. when approaching the location site of the load The gripper can be operated normally during the transfer when there is no sharp line, curve, etc. in the field of view but the picture is blur When a sharp uniform interfa¬ ce appears m the picture, the gripper motion is automati¬ cally stopped When the deviation record has been given a fixed, active area resulting from the physical position of the machine vision system, the malfunctions caused by the product in the gripper or other construction features of the crane are eliminated. The bridge crane presented m fig 2 comprises a bridge 3 and a horizontally moving trolley 4 thereon The trolley 4 is moved in the direction of the horizontal movement of the trolley, which causes swinging. The driving gear of the trolley comprises an electric motor, an electric current controlled break and a suitable transmission gear, which are not drawn The trolley comprises a hoisting gear con¬ trolling the cable motion. If reviewing a normal hand-ope¬ rated container crane's transferring of one container from pile 15 to the ship's hold 17, the driver has to carry out several correction and pre-maneuver commands Between the start command of the trolley and the actual starting of the movement of the trolley is a time delay of 20 - 500 ms depending on the construction and quality of the control system. When the driver changes the control command, the trolley always follows after a time delay. After the at¬ tachment the hoisting and the horizontal transfer towards the target point starts Because the gripper 21, 22 during the transfer does not only swing according to the mathe- matical pendulum but also due to wind power, bending and/or stretching of the crane constructions, etc. additional forces, the camera provides a new opportunity especially when approaching the target area with the gripper 21, 22 and the product The previous patent application aimed at establishing that the machine vision system due to the deviations and stock points has more known information about the target area compared to a completely unknown target surrounding. When the crane trolley arrives at the programmed target point the objective is to create a situation where the swing of the grippers 21, 22 would have been damped before the trolley stops. The target area is then approached first utilizing the camera to damp the swing of the load, and especially m the last step to position the load in the actual target area, when from a certain front angle of the already positioned load, e g. a container, the location site of the load to be transferred is recognized by a tur¬ ning camera 1, 2. The bottom part of fig. 2 contains dia- grams, of which the upper one illustrates the driving speed as a function of the conveyed distance. The middle diagram illustrates the swinging of the gripper 21, 22 without damping of the swing. The optimal driving instruction of the automation system should be anticipated when driving the gripper 21, 22 to the target point, as presented m the lowest diagram. The changes of the gripper' s 21, 22 (sprea¬ der) swing angle are presented in fig. 2 also as load mo¬ tions. The piles between which the transfer is made are marked by letters A, B and C. Different reference times relating to the motion step are presented by t j -tj The damp of the swing of the load when the distance, i.e. height information h = h j -h y , between the camera and the target is not known, can be performed during the horizontal motion at the interval t 1 . . t , by turning the camera 1, 2 of the gripper 21, 22 upwards and by reviewing the crane main supports (or main support) , the bridge or bottom sur- face of the trolley by an illuminated laser light recogni¬ tion technique or the like technique by placing the known shape above the gripper 21, 22 in the known place. The actual transfer of the product to the target area would take place at the interval t 5 .. t y . Although the above men tioned times overlap, the starting point of the approaching can be chosen freely if the system comprises several came¬ ras. Four cameras can be connected to the same control computer in present camera systems One of these could then be directed upwards and two other would be in the gripper 21, 22 jaws Another alternative e.g , however not equally good, is that the cameras are placed m the grippers, and one camera is additionally provided m the trolley to ob¬ serve the gripper and the load swing When the floor level or the upper surface level of the goods on the floor and the features of the gripper are known, the accurate motion of the gripper m relation to the flooi can be determined This application has the numeric positioned height of the gripper from the crane It is not necessarily essential that the damp of the load swing would actually be implemented from the area below the gripper 21, 22, but that the load swing damp has been con¬ sidered m general . Below is presented alternatives for determining the height of the crane gripper 21, 22 from the desired platform, l e the distance between the target area and the gripper. In the absence of the crane gripper 21, 22 height information, the selected target area to be reviewed can be determined from a video picture using a combination of the camera/ca¬ meras 1, 2 and the laser beam 32 according to fig. 13 The relative transition of the selected target area is calcula¬ ted and converted to the crane control data based on two successive or very close video picture samples of the machine vision camera (RGB, CCD-camera) image area The laser beam 32 from the semiconductor laser source provided m the gripper, is set m the known angle α in relation to the center axis of the cameras As the laser beam does not disperse in the same way as a normal light beam, the shape of the light reflected from the laser beam reflection point to the camera 1, 2 is constant and easy to retrieve reliab¬ ly even from a big picture material . The distance of the gripper 21, 22 from the target, measure h, can be calculat¬ ed m fig. 13, when the laser light reflection is found by the computer 5 from the picture material provided by the camera. Depending on the deviation s from the selected point of the camera image area, the distance of the light point from the gripper can be exactly calculated, as the angle is known. The camera n use provided with a zoom- objective is calibrated when the system is taken into use, whereafter the height of the gripper from the object can always be calculated when the magnification ratio of the zoom objective has been considered. The utilization of the dimensions of a known product or the automatic accuracy functions of some machine vision sys terns, when the focusing distance of the objective is known, e.g. Cognex Auto-Focus-function, enables also the damp of the load swing without a numeric positioning in the hois¬ ting device, or a laser light source according to the pre¬ vious example. The height data h can consequently be calcu¬ lated by the program. When from the first full resolution video image area is "cut" a e.g. 64 x 64 pixel image area, this can be positioned from the next or the following pic tures at a time delay of approx 30-50 ms per picture to be reviewed (fig. 3, 4) . This results m the situation where the transition of the cut image area m each chosen new video picture can be determined compared to the original or a comparable picture. When the position of the pixels in relation to each other is known, the direction and speed of the swing of the crane gripper m relation to the ground, the trolley and/or the bridge can be determined The measu¬ ring can start any time and the information about the time slot between the shots of the pictures to be compared is thus based on practical tests. If e.g. some product or the real size of its feature m the image area is known, which is the case when transferring products of standard type and Ξxze to or from the store, no height measuring is required, because the pixels of the picture can be changed into a relative motion when the distance of the gripper m relati on to the target area has been determined by means of the known product or feature If a combination of a camera and a laser light source is used, a sample of the laser light reflection ambience is taken using the above described video picture cutting method, and the transition of this cut area is compared with successive and very close picture shots. The information obtained from the camera picture is illus¬ trated m figs 3 and 4 In fig. 3 the picture is taken from the area 100 below the camera with the camera 1 or 2 provided m the gripper 21, 22, thus showing part of the area below the camera. From the picture shown by the camera is determined the searched digital image area 102, which is part of 101, and which is saved in the computer digitizing card 10 memory The searched area should be so located that the crane or the robot does not manage to drive out of the screen or that the picture angle to the area does not chan¬ ge too much, so that the lighting shadows could change essentially The deviations e.g. X' and Y' of the searched image area are calculated from some image area point of the camera, e g from the vertical intersection point 104 After a while, e.g after 10-500 ms, a new picture 101 is taken with the same camera 1 or 2 as the previous picture . The digital image area 102 saved m the memory based on the crane or robot motion has moved in relation to the camera 1 or 2 The searched field 102 can be searched by the compu¬ ter digitalizmg card from the whole display or only from part of the camera display. When the machine vision system has searched all possible digital image area data from the defined searched area, the system informs the compatibility quality for each new target found of the picture 4 field 101 at the digital image area 102 of the original picture 3. As the searched field 102 has to be individual and suf ficiently large, there are not m practice two or more alternatives. If the system informs several fields to be suitable as the searched area, the qualitatively most sui- table area is chosen. When found, the location of the area m the camera image area 101 can be calculated, thus provi¬ ding X" and Y" If the relative transition of X" and Y" compared to the X' and Y' -measurements of the previous picture exceeds the defined limit and there are several such found fields, the qualitatively next one is chosen, etc Finally, if the results are not reasonable, the posi tioning of the gripper swing is started all over (fig. 3) . As the distance to the object is known either by the crane or robot digital positioning system or the known laser beam 32 mounted m inclined angle m the immediate vicinity of the camera, the motion direction, speed and acceleration of the cameras 1, 2 and thus that of the gripper can be deter¬ mined by the relative motion distance differences of X' and X" and Y' and Y" calculating from the pixels. The searched digital image area data 102 must not contain light reflection of the laser light source 32 attached to the gripper 21, 22 (or it should come outside the field) , because this high intensity light moves m relation to the searched image area 102 along with the cameras 1 and 2 and impairs the success of the search. If the crane is provided w th a numeric positioning system, the motion speed of the gripper 21, 22 m relation to the crane or the robot can be determined and a real time correction of the gripper swing can be made by adjusting the speed of the crane or the robot When the crane or the robot is operated at higher speed, the relative motion of the gripper is damped in relation to the motion speeds of the supporting structures of the crane or the robot, e.g. the bridge during measure ment, and at low operating speed m relation to the ground and the actual target area. Especially, if the crane or the robot has not a numeric positioning system, the relative motion speed difference between the bridge and/or the trol¬ ley and the gripper as well as the swing angle of the grip per can be determined in relation to a fixed lasei light or laser lights 61, 62 reflected during the picture shots 3 and 4 on the same image area 100 from the trolley above (see. fig. 5) . The above mentioned measures X' , Y' , X" and Y" are thus calculated from this laser light reflectior The measuring result obtained is directly the relative motion speed of the gripper in relation to the correspon ding motion directions of the crane Because the load swings when the trolley or the other load carrying structu¬ re moves, the swing speed of the load can be equal to the speed of the trolley m both upper dead points (maximum swing angle a) When the load is steadily m its place the above described positions can be separated from each other e.g. by a laser light 61, 62 reflected down from the trol¬ ley 4 observed by the identifiers 1 and 2 , and the data obtained is converted into the load swing angle data The swing angle of the load can be accurately determined in relation to the upper load-bearing structures even at small angle amplitudes The laser light souice is placed m the trolley 4 as shown m fig 5 The swing angle a s m the upper picture unequal to zero and m the lower picture 5 it is zero In both pictures in fig. 5 the driving speed of the trolley is V trolley in relation to the ground The speed of the gripper swing motion is V grιpp „ r , which m the upper picture varies between Vof and zero The relative speed of the gripper is in fig 5 presented by V ground The digital image area data search can in some cases be facilitated by defining fixed identifiable signs or lines for the bottom area. In the absence of a numeric positioning system m the cra¬ ne, the cameras according to the invention offer a better positioning also at manual operation than e.g is obtained with l.a harmonic damping of the swing systems based on the mathematical pendulum formula (T 0 - 2V (l/g) , m which T 0 = swing time (s) , 1 = hoist cable length ( ) , g = 9,807 m/s 2 ) . In manually operated cranes the swing damping met¬ hods based on mathematical formulas and default values are generally characterized by their over or under positioning when driven manually to a predetermined poin . The inven¬ tion lacks this feature, as when the driver gives a stop command the swing is already m relation to the actual target area and the stop point is in the small image area 101 filmed by the cameras 1 and 2 The cameras 1 and 2 and thus also the gripper 21, 22 can be positioned by teaching the control system or by the data obtained during empirical research. The crane driver can by means of the machine vision system teach a crane lacking a numeric positioning the normal crane stop speeds and the requested deceleration distances When the deceleration distance has been learned, the machine vision system provides for a repetition of the deceleration taught by the operator from the stop command to the point at a certain distance, and simultaneously performs the absorption of the load swing also with chang- mg load masses The motion speeds and tne directions can be specified both in the bridge and trolley direction The slewing angle of the turning gripper can also be determined m relation to a chosen object The load absorption device of a container crane can also identify the set of numbers m the container end m order to secure the container content and loading address in the ship's hold. The automation increases the safety as the position of the containers m the ship are pre-determined for the stability of the ship The same loading information can be utilized in the unloading harbor with a similar equipment directly into the computer system of the re- ceiving harbor, which makes the material handling more effective both m the dispatching and the receiving harbor Faults between the crane's or the robot's own internal coordinates and other coordinates can be corrected. The processor compares with the program the picture data re¬ ceived via the camera with previously recorded values The gripper is directed by the camera to a previously known product by means of teaching, parametrization, characteris- tic features of the target or based on data provided by the CAD-image An active positioning of a moving machine part is created m relation to a known or expected target area and the positioning data of the moving machine part are coded with this result, simultaneously compensating bending and twisting in the load carrying structures caused by different loading situations. When teaching the gripper, areas of the camera view angle can be indicated from which the searched features of the product are to be found and save these m the memory, as shown in fig 6 The camera image area consists of parts As can be seen from fig. 6, the image area inspected can be restricted to a certain area and m this case to the ai ea restricted by hi' 1, hi' 2 and h2' 1 , h2' 2 In fig 6 the container E3 , 6 is placed in relation to the containers E3 , 1 and E3 , 2 thus utilizing the data about E3 , 2 in this area when placing the container. When products are transferred based on the typesetting figure in the memory and the possible change made m the image of the previously filmed area, the area m which to find the searched target is approximately known As this is the case, only part of the camera picture can be reviewed Each product has its own defined location point (deviation) m relation to the reference point Based on this the crane is driven to the desired location according to predeter - mined location points The cameras are directed to review the selected area defined in the deviation record of the product to be transferred and the known target from a limi¬ ted image area defined m the deviation record to inform the actual location site of the product m relation to the location sites of known products or other predetermined target When the camera has found the predetermined target, e.g. the angle of a previously transferred product, the crane control system positions the transferred product m relation to the found target. The camera produces digital information which the computer program application utilizes in the gripper positioning The camera comprises a camera and an application specific optic Outdoors the camera is placed m a case, m which the window square in front of the camera lens is rotating preventing optic disturbances m the camera and also pro¬ tecting the camera lens from weather impacts The case can be provided with a heating device. The camera can be a black-and-white or a color camera. The resolution of the camera can vary starting from 128x128 pixels up to 1280x1024 pixels. As the final identification of the object is made from close and the object to be identified is gene rally big, the amount of pixels can also be smaller In situations where smaller text or bar code is to be iden¬ tified, a bigger pixel amount is required. In such cases it might be economical to implement the gripper positioning and the text or the bar code identification by parallel systems. The objects to be identified can be classified m a small amount of classes according to some property (less than 10 classes) e.g. according to color. The colors are e.g sor¬ ted m 256 different levels, the color pictures can be divided according to the main colors in 3 x 256 different levels After the classification the image is pre-processed into a more preferable form by digital image processing. After the pre-processing the objects and their parts are to be seg- mented from their background. There are two different meth¬ ods of segmentation: area-based and edge identification In the area-based method the image is divided according tc colors into homogenous fields. In the edge identification, steep color change points are searched in the image, i.e. area edges. The safety of the crane can also be improved by the system during the transfer motions prior to the actual charge or discharge area. When the line of sight distance of the camera optic is adjusted to a distance which is twice to the crane stopping distance added with the com puter overall response time, the grippers can be driven when there is no sharp line, curve, etc in the field of view, but the image is blur When one for the data system sudden, unexpected sharp uniform junction appears in the image, the gripper motion is stopped The filming is intended to provide besides characteristics of the areas also their mutual relations There is a very accurate mathematical model for the identification of a known object By concentrating to find from the picture material junctions (steep color changing points) and compa¬ ring it to the model, an exact information about the loca tion of the object in relation to the camera is obtained as a function of distance. The state data of the camera optic at the teaching moment, l.a. focal length, distance, light are recorded simulta¬ neously. With the control data m the crane or robot memory as well as inquiries about the crane or robot real time state data, the camera optic can be adjusted according to the location information m the camera memory so that iden tification of the object is facilitated and functions reli¬ ably. Fig. 8 presents a crane gripper intended to convey steel reels with the grippers 21, 22 provided m one end of the crane beams 23, 24. The cameras 1, 2 are placed m the crane beams 23, 24 close to the grippers, which cameras are turnable with a cylinder/piston 3, 4 solution. One end of the cylinder or piston driver is supported m the crane beams 23, 24, and the other end of the cylinder is suppor ¬ ted m the camera 1, 2. The deflection angle of the camera can normally be selected between 0 - 90 degrees, i.e. bet ween the horizontal or vertical plane. In horizontal plane the cameras are directed against each other, and m verti¬ cal plane straight downwards . When the gripper crane beams are to grip the steel reel 25, they are moved against each other and inside the reel, whereafter the reel can be lif¬ ted. Fig 9 presents a closer picture of a gripper attached to the crane beam, and of the camera and the camera turning gear. Although the picture shows a piston/cylinder turning gear, also others can be used. In fig. 9 the camera 1 is shown in first position as an unbroken line and m second position as a broken line, as also the cylinder/piston unit, correspondingly The bottom area is inspected with the downward directed camera when the goods are to be lowe¬ red. When the goods are gripped, the cameras are turned towards each other The turning gear comprises a piston/cy- lmder unit, one end of which s attached turnably to the crane beam and the other end turnably to the pivot plate 28, to which the camera 1 is attached The pivot plate 28 is placed to turn in relation to the crane beam and the gripper Fig. 10 presents another form of embodiment of the inspec¬ tion of two different image areas with the same camera. The camera 1, 2 is fixed to the crane beam m the vicinity of the gripper. In front of the camera 1, 2 image area can be placed a reflecting surface 30, i.e. a prism oi a mirror, which m oblique position gives an image of the gripper, i.e. of the horizontal plane. When the mirror 30 is turned by the turning gear 31 in vertical position, the camera 1, 2 films its bottom area directly without the mirror 30 The picture of two areas can thus be reviewed with the same camera. The reflecting surface can be provided with addi¬ tional properties, such as heating, etc. As the planned system comprises alternatively two cameras located in relation to each other in known sites, the ob¬ ject can be approached by the triangulation principle. The objective is to identify by each camera points correspon¬ ding to each other located at different sites. Although the picture material is 2-dimensional, this two camera stereo vision system provides also the location of the object, as the size, width or diameter of the object are already known. The identifiers 1, 2 can be placed in the gripper 21, 22, having an opening in the middle, to see through the opening of the other gripper 21, 22. One gripper can preferably be substituted by a light fixture 27, e.g. transversely in relation to the opening and with fluorescent lamps at the end of the opening, and when the light of the observed area visible from the camera picture matches the pre-determined one, the load can be gripped with the gripper according to the information obtained from the picture. Fig. 7 shows the placing of the containers in relation to each other. The mathematical addresses of the containers in fig. 7 are E 3,1 E 3,2, etc. in relation to the D-point. In fig. 7 the container has been moved to site E 3,1 adjacent to which is placed the next container in site E 3,2. The cameras 1, 2 attached to the grippers can be mounted in three different positions. In the first position - the unbroken line - the camera is outside the long side of the container (E 3,2) . The position of the camera can be chan¬ ged to e.g. outside the short side (pile edge on the long side) or to above the container gripper (container fetch with empty gripper) . The latter positions of the cameras are presented by broken lines. Stepleεs turning gears can e.g. be used if other intermediate positions are required. The conventional cylinder gearing clearances in the camera attachment have been eliminated by coil springs acting m the opposite direction. The cameras can be furnished with light fixture (s) to maintain the light conditions essen¬ tially constant when taking the different pictures. Fig. 11 presents an example of a crane and camera system Each camera is attached pivotably to the crane gripper or its vicinity. The system comprises two cameras 1, 2 which are pivotable with the pivoting elements 3, 4. The control and adjustment of the cameras and the turning elements are implemented according to the instructions of the local computer 5 through the crane logic controller. The image signal produced by the cameras is transmitted straight to the computer video cards The computer 5 has a central processing unit 20, to which data transmission bus has been connected for the data transmission l.a. a communication card 6, a computer net card 7, a sound card 8, a video card 10, a memory unit 11, a hard disk 12 and a display card 13, which can communicate with each other. According to the data received from the central processing unit, the crane and the cameras can be controlled from the control unit 14 , but on the other hand also based on data obtained from the camera The computer can be provided l.a. with a CD stati on, user interfaces (keyboard, microphone and loudspeakers, display) , mass memory and modem. A program has Peen mstal led m the computer mass memory and the computer is connec¬ ted to the control system. The computer operating system is a so called multi processing operating system having thus m use a multi media equipment The control system controls the gripper or the crane in real time m a pre-programmed way (logic controller program) . The control system comp¬ rises the logic control, the controls (forward, backward, right, left, slow, fast, etc) , a digital positioning system and motor drives. The logic controller also attends to the real time control and adjustment operations of the camera optic turning elements. The computer analyzes the video picture and tells the logic controller through a fast data transmission bus the devia¬ tion from the target point and in which direction The possible operator can also be given sound messages, to easily show the I/O-data (the logic controller input/out¬ put data) and to warn about risks, such as obstacles m the crane motion track, or error situations A fast data transmission bus is available between the com- puter and the logic controller The computer has access to all data m the logic controller memory If a fast data transmission is required, the transmission can be based on a short macro-protocol using e g current loop modems whe reby the connection is straight and as fast as possible The loudspeakers connected to the computer enable the sub¬ mitting of sound messages to the driver The loudspeaker control is implemented through the computer multimedia card It can either happen so that prior to the speech recording a call is made through the sound card or the recorded text is converted into speech by the program through the sound card, when there is an obstacle or due to some other pre-determined control The gripper can be cont- rolled with the microphone, when the sound is transformed into a signal comprehensible to the computer When a manually driven crane approaches the target area, the actual target area is reached with the machine vision system The crane deceleration and acceleration should be of that size that the changing bulκ (load) to be transfer red does not essentially change the crane decelerations If the bulk of the load would be decisive, the crane might just slide on the rail when stopped too quickly During the acceleration the trolley reels would just roll around as the starting of the inertial mass requires an own inertia The known and generally m design used acceleration and deceleration values for cranes are 0,1 - 0,7 m/s , prei era bly 0,3 - 0,5 m/s 7 . The acceleration and deceleration of the robots are bigger, typically 1 - 4 m/s 2 . When the crane driver approaches the target area, he slows down the speed close to 0,6 m/s (3-6 m/mm) . The crane designer has calculated the deceleration withm the limits of the above mentioned acceleration The final acceleration is determined by the chosen driving gear, and therefore each crane has an application specific deceleration and acceleration. When the driver is an experienced crane dri¬ ver, he drives at a low speed and takes his hand off the crane direction controller just at the right moment to reach the correct stop place According to the crane's own deceleration, the crane continues still forward from the stop speed given by the driver along a relatively linear deceleration curve down to the stop, unless the driver makes new correction motions. The crane or robot swing observation system and the use of the swing to control the speed are illustrated a flow scheme m fig. 12. In the damping of the swing is chec ed that the camera is directed downwards, the magni ication ratio and the focusing distance are correct, the brightness is right and if laser is used, that it is correct If eve- rythrng is in order , the picture taken by the camera is transmitted to the digitizing card memory, the time when taking the picture is recorded. Two clear edges of a cer¬ tam area are searched by the edge search. When the edges are found, the part of the picture to be inspected is de- term ed, the edge features are thus mcluded and saved in the memory. The next picture, which shooting moment is known, is transferred mto the digitizing card memory. The recorded data of the previous picture is retrieved from the new picture from an area defmed by the motion direction. When the viewed area is found, the momentary speed of the gripper m relation to ground is calculated from the pictu¬ res, which informs the speed of the crane The momentary speed of the gripper is obtamed, which is the speed of the crane minus the speed of the gripper. When the result is obtained, speed correction instructions are given to the trolley and the bridge speed control systems. Suitable additional pictures can be utilized m different stages. A product marked with a label, e.g. bar code, provides directly information about the size and desired location site of the load, which can be considered as reference data. It should be considered that the invention has above been presented only with reference to some examples. The inven¬ tion is however not m any way to be considered restricted only to these solutions, the gripper e.g. is any gripping member or corresponding, but the invention includes the solutions a man skilled in the art can carry out with the scope of the enclosed claims .

Claims: CLAIMS 1 A method for conveying a load between two location si tes, m one of which the load is gripped for transfer, and m the other one the load is discharged, said method com¬ prising the steps of selecting a load to be gripped, at tachmg at least one grip member of the load to the load, transferring the load to a desired other location site, order to find the desired other location site the object observed by at least one identification means is changed to another object than the grip member, respectively, identi¬ fying the location based on information received from at least one identification means, converting the at intervals changing data obtamed by at least one identification means mto the control data of the transferring means 2 A method accordmg to claim 1, c h a r a c t e r ¬ i z e d in that the location of the load is controlled relation to the positioned object by taking a video picture at predefined intervals of the known reference point 3 A method according to claim 1, c h a r a c t e r ¬ i z e d m that the load is identified by the same identi¬ fication means in the different location sites of the load 4 A method according to claim 1, c h a r a c t e r ¬ i z e d in that for the monitoring of the motions of the goods to be attached to the grip member (21, 22) is provi¬ ded at least one video camera or corresponding (1, 2) , which is (are) in connection with the computer to control the crane accordmg to the location data saved m the memo ry and/or according to the data provided by the identi¬ (1, 2) , and of which image area can be viewed by defmed pixels certam pixels by converting the image to numeric data, and the data is transmitted through a connec¬ tion to the computer (5) where the selected target aiea to be inspected is determined from the video picture, the transit distance of the target area is defmed m relation to the picture taken after a certain interval, and the transit distance data is converted mto the crane or robot control data. 5. A method according to claim 4, c h a r a c t e r ¬ i z e d m that the object or area identified in the pre ceding or previous picture is defmed, a numeric data is formed of the preceding defmed identified picture object or area, at least another picture is taken after a certain interval, of the numeric data formed of this picture object or area is determined the established transit distance of the preceding defmed identified object or area, based on the transit distance data, speed and direction information is given from the computer to the crane control system. 6. A method according to claim 5, c h a r a c t e r ¬ i z e d in the taking of a picture by the camera (1, 2) of the bottom area (100) of the camera, tnus showmg in the camera part of the bottom area, determining from the pictu re visible m the camera the digital image area (102) to be searched, which is part of the camera image area, and which is saved m the computer memory, taking a new picture (L01) with the same camera (1, 2) as the previous picture was taken, searching the area (102) to be searched by the com puter from at least pait of the camera display, calculating when the area is found from the camera image area (101) the relative transit distance m relation to the previous vie¬ wed image area (102) for the crane control system. 7. A method according to one or several of the claims, c h a r a c t e r i z e d in that the position of the crane is defmed, the distance of the gripper from the object is defmed, the speed of the trolley and/or the bridge is defmed, the speed of the trolley and the bridge is adjusted according to the data 8. A method according to claim 7, c h a r a c t e r - i z e d in that the distance of the gripper from the ob¬ ject is determined by taking a picture of the known object whereby the known object is preferably e.g. the feature of the load to be lifted, the load to be lifted itself, a separate laser beam, which dimension to be defined is known. 9. A method according to one or several claims, c h a r a c t e r i z e d in that the speed of the trolley and/or the bridge is defined, the swing angle ( ) is mea¬ sured, the speed of the trolley and the bridge is adjusted. 10. A method according to one or several claims, c h a r a c t e r i z e d in that the product is simulta- neously identified, and the gripper is additionally con¬ trolled to grip the load to be lifted. 11. A method according to one or several of the claims 8 - 10, c h a r a c t e r i z e d in that in order to determine the distance of the object or area from the iden¬ tifier the camera is directed to a laser beam or corres¬ ponding shape distinguishing from the image area, which shape is placed in known angle to the camera, and which is detectable in the camera image area. 12. A method according to one or several claims, c h a r a c t e r i z e d in that at least two different areas are filmed with the camera (1, 2) , which is implemen¬ ted so that the camera (1, 2) is pivotable, or fixed, whe- reby the certain image area directed to the camera (1, 2) is reflected from the reflecting surface (30) . 13. A method according to claim 12, c h a r a c t e r ¬ i z e d in that the reflecting surface (30) is transferred from the camera (1, 2) visibility range or preferably from the visibility range of the pivotable camera (1, 2) for the filming of a desired image area. 14. A method according to one or several of the claims 1 - 13, c h a r a c t e r i z e d m that at least one grip member is attached to the load controlled by at least one identification means controlling the motion of the load in relation to the location site. 15. An equipment for controlling a lifting device for load¬ ing and unloading of goods, which lifting device is provid¬ ed with a bridge or corresponding to which the grip members (21, 22) for gripping the goods to be lifted are attached movably by a crane beam (23, 24) or corresponding, and that for the monitoring of the motions of the grip member (21, 22) and the goods attached thereto is provided at least one identifier (1, 2) , which is (are) m connection with the central processing unit for controlling the crane according to recorded location data and/or information provided by the identifier (s) (1, 2) , based on the recorded location data and observed ambient data provided by at least one identifier (1, 2) the load can be placed at the location site, the identifier(ε) (1, 2) film(s) at least two diffe¬ rent areas, which is implemented so that the identifier (1, 2) is pivotable, or fixed, whereby the certain image area directed to the camera (1, 2) is reflected from the reflec¬ ting surface (30) . 16. A method according to claim 15, c h a r a c t e r i z e d in that the identifiers (1, 2) are placed the gripper (21, 22) , provided with an opening in the middle, to see through the opening through the opening of the ot her gripper (21, 22) , and to the illuminated opening of the second gripper (21, 22) , which is preferably lightened by e.g. transversely going fluorescent lamps. 17. An equipment according to claim 16, c h a r a c - t e r i z e d in that the crane driver can be given a sound message for the control of the crane based on the data provided by the camera (1, 2) . 18. A system according to claim 16, c h a r a c t e r ¬ i z e d m inspecting of the camera (1, 2) image area only the marked area (hi' , hi' 2 ; h2 ' 1, h2' 2) based on known information, which area the identified goods or part of 19 A system according to claim 16, c h a r a c t e r ¬ i z e d m that the camera is placed a case and that the window square in front of the camera lens is preferably rotating and moreover preferably that the case is furnished with a heating device. 20. A system according to claim 16, c h a r a c t e r ¬ i z e d that the identification means is located to inspect the area below or the load to be conveyed

Inventors: ERIKKILAE JOUNI, ERIKKILAE, JOUNI
Applicants: ERIKKILAE JOUNI, SIME OY, ERIKKILAE, JOUNI
Application year: 1996
Main classification: B66C13
IPC codes: B25J13, B66C13