Intelligent series regulation system for customized office furniture discrete production equipment

Abstract

The application discloses a kind of custom office furniture discrete production equipment intelligent series connection regulation and control systems, it is related to plate furniture automation production equipment control technical field, including a continuous flow observer, its input end is connected to the controller of downstream equipment, for real-time reading the remaining processing time of the plate piece that downstream equipment is currently processing and the estimated processing time of the next plate piece to be processed after the completion of the plate piece, and according to the remaining processing time and estimated processing time determine a continuous desired flow value, the desired flow value indicates the material receiving rate of downstream equipment in a continuous time after current time, the application calculates the expected flow by the time-length two-dimensional parameter measurement of continuous flow observer fusion, five kinds of numerical control instructions are subdivided and analyzed by prospective instruction parser to realize active prediction, so as to alleviate the material flow imbalance in custom office furniture discrete production, change production accumulation and equipment standby problem.

Description

Technical Field

[0001] This invention belongs to the field of control technology for automated production equipment of panel furniture, specifically an intelligent serial control system for discrete production equipment of customized office furniture. Background Technology

[0002] Customized office furniture panel processing lines typically consist of multiple processing machines arranged in series or separately, including those for cutting, edge banding, drilling, and milling. Upstream and downstream equipment are continuously connected via conveyor sections to automate the flow and processing of panels. Due to the nature of personalized customization, panel specifications vary frequently, and production changes are common. Downstream equipment often experiences intermittent operations such as tool changes, glue tank cleaning, spindle start / stop, and speed switching, leading to frequent fluctuations in downstream material receiving flow. Traditional production line control methods often employ a single closed-loop speed control strategy with fixed proportional-integral parameters. This strategy can only passively correct for real-time flow deviations, lacking the ability to anticipate downstream operating conditions and failing to adapt to sudden flow changes during production changeovers.

[0003] Meanwhile, existing technologies generally lack a real-time monitoring and fallback mechanism for material accumulation in the transfer and conveying section, and also fail to set up dedicated speed arbitration logic for the diversion production conditions of a single upstream and multiple downstream routes. This easily leads to problems such as branch line material accumulation, waiting for materials, supply and demand imbalance between upstream and downstream, and frequent equipment vibration and speed adjustment. In addition, most existing intelligent control systems are in fully automatic locking mode, without manual bypass switching channels, resulting in poor operational flexibility during equipment debugging, maintenance, and fault reset, and insufficient on-site operation and maintenance convenience. In summary, the existing speed control methods for panel furniture serial production lines have poor adaptability to operating conditions, low control precision, and weak fault tolerance, making it difficult to meet the production requirements of discrete, multi-condition, and highly stable customized furniture. Therefore, a new type of intelligent serial control system is urgently needed to solve the above-mentioned technical defects. Summary of the Invention

[0004] The purpose of this invention is to provide an intelligent serial control system for discrete production equipment of customized office furniture, so as to solve the problems mentioned in the background art.

[0005] A smart serial control system for discrete production equipment of customized office furniture includes: A continuous flow observer, whose input is connected to the controller of a downstream device, is used to read in real time the remaining processing time of the board currently being processed by the downstream device and the estimated processing time of the next board to be processed after the completion of the board, and to determine a continuous expected flow value based on the remaining processing time and the estimated processing time. The expected flow value represents the material receiving rate of the downstream device in a continuous period of time after the current moment. A look-ahead instruction parser, whose input is connected to the CNC program buffer of the downstream equipment, is used to pre-parse the production change instructions and speed change instructions that the downstream equipment will execute within a certain time window in the future, and convert these instructions into a desired flow correction curve on a time axis. A flow deviation detector is used to compare the expected flow rate value output by the continuous flow observer with the current real-time discharge flow rate value of the upstream equipment to obtain a flow deviation signal; A speed shaping controller is provided, the input of which is simultaneously connected to the output of the flow deviation detector and the expected flow correction curve output by the look-ahead command parser. The speed shaping controller contains a proportional-integral (PI) controller with feedforward compensation. The PI controller calculates the PI adjustment amount of the upstream equipment's discharge speed based on the flow deviation signal. The feedforward compensation generates a feedforward speed increment in advance based on the future flow decrease or increase trend in the expected flow correction curve. The feedforward speed increment is superimposed with the PI adjustment amount to form the target discharge speed of the upstream equipment. A speed driver interface is provided for converting the target discharge speed into a speed command signal for the upstream equipment conveyor motor or feed motor, and sending it out for execution in real time.

[0006] In some possible implementations, when the look-ahead instruction parser determines that the downstream equipment is about to enter a production changeover state, resulting in a decrease in the expected flow rate, the feed-ahead compensation reduces the target discharge speed of the upstream equipment in advance, so that the upstream equipment actively slows down the discharge before the production changeover occurs, in order to avoid material accumulation during the downstream production changeover; when the production changeover ends and the expected flow rate recovers, the feed-ahead compensation increases the target discharge speed of the upstream equipment in advance, so that the upstream equipment has sufficient material supply to the downstream at the moment the production changeover ends.

[0007] In some possible implementations, the continuous flow observer calculates the expected material receiving rate of the downstream device at the current moment based on the remaining processing time and remaining material length of the current plate of the downstream device, as well as the estimated processing time and material length of the next plate to be processed, and repeats the calculation at a fixed period to generate a continuous expected flow signal.

[0008] In some possible implementations, the instructions parsed by the look-ahead instruction parser from the downstream device CNC program include at least: Feed rate ratio change command, spindle start / stop command, tool change command, glue pan cleaning command, dust extraction valve switching command; Each instruction corresponds to a preset standard time, which is stored in the system's instruction time database and used to determine the magnitude and duration of the decrease in the desired flow correction curve.

[0009] In some possible implementations, a material density feedback loop is also included, which includes a non-contact material accumulation detection sensor installed on the conveyor section between the upstream and downstream equipment. The sensor outputs the length ratio currently occupied by the material on the conveyor section; this length ratio is input to the speed shaping controller as an additional feedback signal. When the length ratio exceeds a preset upper threshold, the speed shaping controller forcibly reduces the target discharge speed; when the length ratio is lower than a preset lower threshold, the speed shaping controller forcibly increases the target discharge speed.

[0010] In some possible implementations, the non-contact material accumulation detection sensor is a laser ranging array or an ultrasonic sensor array, arranged at equal intervals along the length of the conveying section, and the proportion of continuous material occupancy on the conveying section is determined by the material obstruction state between adjacent sensors.

[0011] In some possible implementations, the upstream equipment is any one of a panel saw, edge banding machine, six-sided drill, milling machine, or power conveyor belt; the downstream equipment is any of the above-mentioned equipment located after the upstream equipment and directly connected to the upstream equipment via a conveyor section.

[0012] In some possible implementations, the proportional and integral coefficients of the proportional-integral regulator in the speed shaping controller are adaptively adjusted based on the acceleration capability of the upstream device and the flow fluctuation amplitude of the downstream device. When the flow rate fluctuation of the downstream equipment exceeds the preset range of ±15 mm / s, the proportional-integral regulator automatically reduces its proportional coefficient, with each adjustment step being fixed at 0.05 and the adjustment period being one second, and the proportional coefficient is not lower than the preset lower limit of 0.6. When the flow deviation signal persists for more than eight seconds, the proportional-integral regulator automatically increases its integral coefficient, with each adjustment step being fixed at 0.01 and the adjustment period being one second, and the integral coefficient is not higher than the preset upper limit of 0.20. All the above adjustments are performed once within a one-second cycle, with only one step executed at a time, ensuring gradual parameter changes and preventing equipment operation jitter.

[0013] In some possible implementations, when the same upstream device supplies material to two downstream devices simultaneously, the system includes two parallel continuous flow observers, two parallel look-ahead command parsers, and two parallel speed shaping controllers, each corresponding to one downstream device. The system also includes an arbitrator that receives the target discharge speeds output by two speed shaping controllers and selects the smaller of the two values ​​as the actual final target discharge speed of the upstream equipment, so as to ensure that the downstream equipment with stricter discharge speed requirements will not experience overfeeding.

[0014] In some possible implementations, a manual priority switching switch is also included, which is connected before the speed driver interface and whose output selectively connects to an externally manually given speed signal or the target output speed output by the speed shaping controller. When the switch is in the manual position, the speed driver interface receives a fixed speed command manually given externally, and the output signals of the continuous flow observer, look-ahead command parser, flow deviation detector and speed shaping controller are bypassed. When the switch is in the automatic position, the speed driver interface receives the target discharge speed output by the speed shaping controller.

[0015] The technical solutions provided by the embodiments of this disclosure have at least the following beneficial effects: This invention calculates the desired flow rate by integrating time-length dual-dimensional parameters through a continuous flow observer; it achieves proactive prediction by subdividing and analyzing five types of CNC commands through a look-ahead command parser; it constructs a closed-loop + fallback dual control mechanism with a flow deviation detector and a material density feedback loop; it generates a precise target speed by using adaptive proportional-integral adjustment and feedforward compensation; it employs minimum value selection for speed limiting in a one-to-two working condition; and it achieves smooth switching between automatic and manual modes through a manual priority switching switch. The coordinated operation of each unit helps solve problems such as material flow imbalance, production changeover accumulation, and equipment downtime due to material shortages in the discrete production of customized office furniture. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of the system framework structure of the present invention. Detailed Implementation

[0017] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] like Figure 1 As shown, the intelligent serial control system for discrete production equipment of customized office furniture proposed in this invention consists of five cascaded functional units. Signal transmission between units is accomplished through industrial Ethernet or standard analog lines. The specific structure, connection relationship and working mode of each unit will be described in detail below.

[0019] The input of the continuous flow observer is connected to the controller of the downstream equipment to read in real time the remaining processing time of the plate currently being processed by the downstream equipment and the estimated processing time of the next plate to be processed after the completion of the plate. Based on the remaining processing time and the estimated processing time, a continuous expected flow value is determined, which represents the material receiving rate of the downstream equipment in a continuous period of time after the current moment.

[0020] In actual operation, the observer not only reads the two time parameters mentioned above, but also simultaneously obtains the remaining material length of the current plate and the material length of the next plate. Combining these four parameters, it calculates the expected material receiving rate of the downstream equipment at the current moment, and repeats the calculation at a fixed period to generate a continuous expected flow signal.

[0021] The term "board components" here refers to wood panels, veneer panels, and various base materials that have undergone processes such as cutting, edge banding, drilling, and milling within the production process of custom-made office furniture. They are also the core circulating components in the entire conveying and processing production line.

[0022] In field applications, operators can use the material identification module built into the downstream equipment controller to identify sheet metal. The system simultaneously collects two types of information: material code and shape outline. After comparison and confirmation, the current conveyed object can be determined as a valid sheet metal. During system operation, time parameters are uniformly measured in seconds, length parameters in millimeters, and speed parameters in millimeters per second. All calculation results are retained to two decimal places to achieve uniformity in field data statistics and control standards.

[0023] The remaining processing time refers to the total time taken for a workpiece currently placed in the downstream equipment's processing station from the moment data acquisition until it completes all preset processing steps and leaves the processing station. During on-site operations, workers can directly read the process progress feedback signal built into the downstream equipment to determine this time. The equipment continues timing until a process is completed, and the corresponding timing value is automatically reset to zero upon detecting a process completion signal. The remaining material length of the current workpiece refers to the actual length of the workpiece inside the processing station before it enters the equipment's processing area. This parameter is collected in real time by a laser ranging component mounted on the downstream equipment. The ranging component scans the workpiece position at a fixed frequency, and the collected length data is transmitted to the downstream equipment controller in real time. The returned measured value is the remaining material length, which can intuitively reflect the actual volume of the part of the workpiece to be processed.

[0024] After the current panel is processed, the next panel to be processed that enters the processing station in sequence, and the theoretical duration required for it to complete the entire set of preset processing procedures is the estimated processing time. This parameter does not require manual measurement. The downstream equipment can directly retrieve the CNC machining work order of the corresponding panel and extract the processing duration pre-entered in the work order. The material length of the next panel is also pre-entered in the corresponding CNC machining work order, and the downstream equipment can directly obtain the work order information without secondary on-site measurement.

[0025] The expected flow value, which can also be called the expected material receiving rate, is calculated by integrating two dimensions of time and material length, and can fit the actual working conditions of continuous processing of panel furniture. Specifically, let the remaining processing time of the current panel be t1 (seconds), the remaining material length of the current panel be L1 (millimeters), the estimated processing time of the next panel be t2 (seconds), and the material length of the next panel be L2 (millimeters). Then the expected material receiving rate Q (millimeters per second) of the downstream equipment at the current moment is determined by the following formula: When t1 > 1 second, Q = (L1 / t1) + (L2 / t2); When 0 < t1 ≤ 1 second, the current panel is about to complete processing, and the system operates in a transition mode, making Q = (L2 / t2), that is, using the estimated rate of the next panel as the expected flow to avoid calculation overflow caused by t1 approaching zero; when t1 = 0 and the current panel has left the processing station, the timing is cleared and immediately switched to the complete parameters of the next panel for recalculation; In the formula, L1 / t1 represents the material receiving rate that the current panel needs to receive within the remaining processing time, and L2 / t2 represents the material receiving rate that the next panel needs to receive within the estimated processing time. The sum of the two is the continuous material receiving rate that the downstream equipment should maintain currently. In this embodiment, the operation period of the continuous flow observer is set to one second, and the above calculation is performed once every round of data collection, running in a loop and continuously outputting the expected flow signal.

[0026] From the perspective of equipment layout and line connection, the continuous flow observer is installed inside the transfer control cabinet between the upstream and downstream equipment as a whole. Its input end is connected to the data output port of the downstream equipment controller one by one through an industrial Ethernet communication line, and the output end is connected to the signal input port of the flow deviation detector. During the normal operation stage, the observer completes data collection in one-second cycles, continuously receives the time parameters and material length parameters transmitted by the downstream equipment controller, and the internal embedded operation unit completes the calculation according to the above logic. Finally, it outputs a continuous expected flow signal in the form of a 4 mA to 20 mA standard analog electrical signal. The delay time of the entire data transmission process is controlled within 20 milliseconds, which can meet the basic requirements of real-time production line regulation.

[0027] It should be noted that the existing conventional flow statistics method only relies on the processing time to calculate the material flow rate, without considering the actual situation of the length differences of different plate parts. As a result, the obtained flow statistics results often do not match the actual material carrying capacity of the equipment. In contrast, the present invention simultaneously introduces two types of parameters, namely processing time and material length, to carry out operations. It relies on dual indicators to calculate the expected material receiving rate and generates a continuous signal through cyclic operations at a fixed period, breaking the limitation of the traditional method that only relies on instantaneous working hours to determine the flow rate. It can not only grasp in advance the continuous material receiving capacity of the downstream equipment, but also adapt to the working conditions of mixed production of different specifications of plate parts, effectively improving the accuracy of data calculation, providing accurate data support for subsequent system linkage control, and at the same time reducing the occurrence probability of unbalanced material flow between upstream and downstream.

[0028] The input end of the forward-looking instruction parser is connected to the numerical control program buffer of the downstream equipment, and is used to pre-parse the production change instructions and speed change instructions that the downstream equipment will execute within a certain future time window, and convert these instructions into an expected flow rate correction curve on a time axis.

[0029] The instructions parsed from the numerical control program of the downstream equipment at least cover: feed speed ratio change instruction, spindle start / stop instruction, tool change instruction, glue pot cleaning instruction, dust suction valve switching instruction; each instruction corresponds to a preset standard time consumption, and this standard time consumption is stored in the instruction time consumption database of the system, and is used to determine the decline amplitude and duration of the expected flow rate correction curve.

[0030] The numerical control program buffer is a dedicated storage area locally divided for the downstream equipment, and stores various processing control instructions to be run by the equipment in the order of execution. During on-site discrimination, the staff can make a judgment by referring to the storage partition identification inside the equipment. The partition marked as instruction cache is the numerical control program buffer referred to in this solution. In actual production, when the downstream equipment switches the processed plate part model, changes the processing process or replaces the processing tool, the corresponding control instructions issued by the system are collectively referred to as production change instructions; the instructions used to adjust the overall processing rate of the equipment and change the speed of material承接 are defined as speed change instructions. After reading the instruction content in the numerical control program buffer, the forward-looking instruction parser completes the classification judgment by identifying the instruction fields: if the field contains content related to model switching, process change, and tool replacement, it is judged as a production change instruction; if the field involves content related to speed and feed rate adjustment, it is judged as a speed change instruction.

[0031] In this embodiment, the time window for look-ahead parsing is set to 120 seconds, meaning the look-ahead instruction parser only analyzes instructions to be executed by downstream equipment within the next 120 seconds. Among the five core instruction categories mentioned above, the feed rate change instruction adjusts the conveying and processing speed of the sheet metal; the spindle start / stop instruction controls the start and stop of the machining spindle; the tool exchange instruction completes the disassembly and installation of machining tools; the glue pot cleaning instruction executes the cleaning operation of the glue pot in the edge-sealing process; and the dust collection valve switching instruction switches the on / off state of the dust collection pipeline. An independent instruction time database is built within the system, pre-entering the standard execution time corresponding to each type of instruction, measured in seconds. All parameter values ​​have been calibrated through on-site measurement and must not be arbitrarily changed during operation.

[0032] After identifying the specific instruction type, the look-ahead instruction parser retrieves the corresponding standard time parameters from the instruction time database. It then combines the instruction type with the determination of the decrease in the downstream equipment's material receiving capacity, and finally determines the duration of the flow rate reduction based on the standard time. The flow rate decrease varies depending on the instruction: during the execution phase of tool exchange and glue pot cleaning instructions, the downstream equipment essentially stops receiving materials, resulting in the largest flow rate decrease; feed rate change instructions only slightly adjust the equipment's operating speed, resulting in a relatively smaller flow rate decrease. The expected flow rate correction curve is plotted with time on the horizontal axis and the flow rate correction coefficient on the vertical axis. In this embodiment, the flow rate correction coefficient is set between 0.7 and 1.3, with the coefficient value corresponding to the increase or decrease in the downstream equipment's material receiving rate.

[0033] When generating the curve, the start time of each instruction to be executed is first extracted as the horizontal axis coordinate. Then, the corresponding flow correction coefficient is matched with the instruction content. At the same time, the length of the curve interval is determined according to the standard time in the database. All coordinate points are connected in sequence according to time order to finally form a complete and continuous expected flow correction curve.

[0034] From the perspective of equipment installation and wiring connections, the look-ahead instruction parser and the continuous flow observer are integrated together in the same transfer control cabinet. Its input end directly connects to the data reading interface of the downstream equipment's CNC program buffer, and its output end connects to one signal input port of the speed shaping controller. The instruction duration database is embedded in the parser's storage unit, enabling rapid retrieval of local data. During operation, the look-ahead instruction parser reads data from the CNC program buffer every two seconds, filtering out production change instructions and speed change instructions within the next 120 seconds. It accurately identifies the specific type of each sub-instruction, retrieves standard duration parameters from the database, analyzes the rate change amplitude and actual execution period corresponding to each instruction, and then uses a piecewise linear interpolation algorithm to connect the flow correction coefficients corresponding to the start time of each instruction sequentially, forming a continuous piecewise linear curve as the desired flow correction curve, and continuously outputs the curve signal. If there is a time gap between adjacent instructions and the flow correction coefficients are different, they are connected linearly; if the coefficients are the same, they remain a horizontal straight line, providing a basis for subsequent control.

[0035] Traditional forward-looking analysis structures can only broadly identify two types of commands: production changeover and speed adjustment. They cannot distinguish the differences in the impact of different operational commands on material flow, and the accuracy of the resulting correction curves is insufficient to meet production requirements. This invention performs detailed analysis of high-frequency operational commands on-site, and relies on a dedicated database to match the standard consumption time corresponding to each type of command. It accurately defines the magnitude and duration of flow changes, enabling the desired flow correction curve to closely match the actual operating conditions of the equipment. This further enhances the system's predictive capabilities and breaks through the limitations of traditional control methods that can only respond to immediate operating conditions. It transforms discrete operating commands of the equipment into continuous and identifiable flow change curves, realizing the system's transformation from passive response to proactive prediction. This is also the key to the system's advanced control capabilities.

[0036] The flow deviation detector is used to compare the expected flow rate value output by the continuous flow observer with the current real-time discharge flow rate value of the upstream equipment to obtain the flow deviation signal.

[0037] The total length of the sheet material delivered by the upstream equipment per unit time is the real-time discharge flow rate, measured in millimeters per second. The system is set to one second as a single complete flow rate statistics cycle. Obtaining this value on-site is relatively simple: install a photoelectric counting sensor and a length detection sensor at the discharge position of the upstream equipment. When a sheet passes through the detection area, the counting and length acquisition actions are triggered simultaneously. The total length of all discharged sheets within a single second is calculated, and the result is the real-time discharge flow rate. If no sheet passes through the detection area in the current statistics cycle, the real-time discharge flow rate for that cycle is recorded as 0 mm / s.

[0038] The flow deviation signal is calculated by subtracting the real-time discharge flow rate of the upstream equipment from the desired material receiving rate output by the continuous flow observer. All parameters are kept in a uniform unit of measurement during the calculation. Let the desired material receiving rate be Q (mm / s), and the real-time discharge flow rate be Q... a (millimeters per second), then the flow deviation signal ΔQ is calculated using the following formula: ΔQ = QQ a ; Based on the actual production conditions on site, this solution divides the equipment operating status into three categories: when the calculated deviation value is greater than 5 mm / s, the current operating condition is determined to be a low flow rate state; when the deviation value is within the range of -5 mm / s to 5 mm / s, the upstream and downstream flow rates are determined to be balanced, and the flow rate is in equilibrium; when the deviation value is less than -5 mm / s, the current operating condition is determined to be a high flow rate state. Regarding wiring connections, the flow deviation detector needs to be connected to two external signals simultaneously: one connected to the output of the continuous flow observer, and the other connected to the flow acquisition component at the discharge port of the upstream equipment. After completing the data calculation, the detector sends the generated flow deviation signal to the main input port of the speed shaping controller.

[0039] In actual operation, the flow deviation detector relies on its internal comparison and calculation circuit to complete the task. With one second as a complete calculation cycle, it compares and calculates the difference between two sets of flow data, ultimately outputting a flow deviation electrical signal with positive and negative indicators to ensure the orderly operation of subsequent control processes. This structure uses flow data obtained through time and length fusion calculations for difference comparison, accurately quantifying the material flow deviation between upstream and downstream equipment. It intuitively reflects the current matching status of material flow, providing a basis for the proportional-integral controller to carry out closed-loop control.

[0040] This system also includes a material density feedback loop, which contains a non-contact material accumulation detection sensor installed on the conveyor section between the upstream and downstream equipment. This sensor outputs the length ratio currently occupied by material on the conveyor section, and this length ratio is input as an additional feedback signal to the speed shaping controller. When the length ratio exceeds a preset upper threshold, the speed shaping controller forcibly reduces the target discharge speed; when the length ratio is below a preset lower threshold, the speed shaping controller forcibly increases the target discharge speed.

[0041] Non-contact material accumulation detection sensors can be laser ranging arrays or ultrasonic sensor arrays, arranged at equal intervals along the length of the conveyor section. The proportion of continuous material occupancy on the conveyor section is determined by the material obstruction status between adjacent sensors. The upstream equipment can be any one of a panel saw, edge banding machine, six-sided drill, milling machine, or powered conveyor belt; the downstream equipment is any of the above-mentioned equipment located after the upstream equipment and directly connected to it through the conveyor section.

[0042] Upstream equipment options include panel saws, edge banding machines, six-sided drills, milling machines, and powered conveyor belts. These devices primarily handle sheet metal processing or material transport, serving as the front-end execution units of the production line. Downstream equipment is of the same type as upstream equipment, arranged sequentially behind the corresponding upstream equipment according to production processes. The two are directly connected via a dedicated conveyor section, forming a series production unit. When determining the correspondence between upstream and downstream equipment on-site, the production line layout diagram can be used to determine the equipment sequence. Two pieces of equipment physically connected via a conveyor section can be identified as the upstream and downstream equipment as defined in this solution.

[0043] This solution utilizes non-contact material accumulation detection sensors, specifically laser ranging arrays or ultrasonic sensor arrays. Both types of array sensors do not require contact with the material surface, effectively avoiding scratches on the material and wear on the sensor body. The array sensor deployment follows clear specifications: all sensing units are evenly arranged along the overall length of the conveyor section, with a uniform center-to-center distance of 300 mm between adjacent sensing units. The deployment area covers the entire effective passageway of the conveyor section, eliminating blind spots. Material obstruction is the core criterion for determining material distribution. If the detection optical path or sound field of any sensing unit in the array is obstructed by a plate, it is determined that material exists at that location; otherwise, it is determined that there is no material at that location. The continuous material occupancy length ratio refers to the ratio of the effective length continuously occupied by plates within the conveyor section to the total effective length of the conveyor section. This parameter has no unit of measurement and its value is limited to between zero and one.

[0044] The specific calculation method is as follows: Based on the occlusion status feedback from each sensor unit within the array, the total length of the section with material coverage is calculated segment by segment, using a center-to-center distance of 300mm between adjacent sensor units as a baseline. The remaining length at the end of the conveyor section, less than 300mm, is counted as 300mm if the end sensor unit is completely obscured, or as measured if laser ranging is used to obtain the actual edge distance. This value is then divided by the overall effective length of the conveyor section to obtain the real-time length ratio. The sensor data sampling period is set to one second.

[0045] This embodiment explicitly sets relevant thresholds: the upper threshold is 0.85, and the lower threshold is 0.35. When the real-time length ratio is greater than 0.85, it is determined that there is excessive material accumulation in the conveying section; when the real-time length ratio is between 0.35 and 0.85, it is determined that the material inventory in the conveying section is within the normal range; when the real-time length ratio is less than 0.35, it is determined that the material inventory in the conveying section is insufficient. From the perspective of structural installation and wiring layout, the laser ranging array or ultrasonic sensor array is fixedly installed above the conveying section frame, and the array output line is laid separately and directly connected to the additional feedback signal port of the speed shaping controller to realize the real-time transmission of monitoring data. As a material transfer channel, the conveying section receives the plates sent by the upstream equipment and smoothly transports them to the processing station of the downstream equipment. It is the main carrier of material flow in the entire series system.

[0046] The specific operation process of the material density feedback loop is as follows: the array sensor completes a full-field scan of the conveyor section with a cycle of one second, identifies the material occupancy at each point, calculates the proportion of continuous material occupancy length based on the spacing between sensor units, and then converts this value into a standard electrical signal, which is continuously sent to the speed shaping controller. After completing the basic speed calculation, the speed shaping controller first compares the length proportion value with a preset threshold and executes the corresponding forced speed adjustment logic.

[0047] When the length ratio exceeds the upper threshold, the system directly lowers the target discharge speed to suppress continuous material accumulation; when the length ratio is below the lower threshold, the system directly increases the target discharge speed to replenish the material inventory within the conveying section. Existing control systems mostly rely solely on flow data and command predictions for adjustment, failing to intuitively perceive the actual material inventory within the transfer conveying section. They also lack clear definitions for mainstream processing equipment and detection devices in furniture production lines, leading to confusion during equipment selection and deployment, and compromising monitoring accuracy. This invention, however, clearly defines the specific types and series correspondences of upstream and downstream equipment, adapting to the mainstream equipment configurations of customized office furniture panel processing production lines. It also defines the specific types and deployment rules of sensors, calculating the material occupancy ratio based on the array sensor structure and material occupancy status, completely eliminating monitoring blind spots caused by single-point detection. This independent material density feedback loop forms a direct feedback channel for on-site operating conditions. By leveraging threshold-triggered forced speed regulation logic, a safety net mechanism is built, allowing system control to move beyond theoretical calculations. This achieves an organic combination of three control methods: theoretical prediction, flow closed-loop, and on-site real-time monitoring, effectively improving system stability, operating condition adaptability, and on-site implementation results.

[0048] The speed shaping controller's input is connected to both the output of the flow deviation detector and the desired flow correction curve output by the look-ahead command parser. Internally, it includes a proportional-integral (PI) controller with feedforward compensation. The PI controller calculates the PI adjustment amount for the upstream equipment's discharge speed based on the flow deviation signal. The feedforward compensation generates a feedforward speed increment in advance based on the future flow decrease or increase trend in the desired flow correction curve. This feedforward speed increment, combined with the PI adjustment amount, forms the target discharge speed of the upstream equipment.

[0049] The proportional and integral coefficients are adaptively adjusted using a hierarchical logic: The system collects flow fluctuation data from downstream equipment in real time. Once the flow fluctuation amplitude exceeds the preset range of ±15 mm / s, the proportional-integral regulator automatically reduces its proportional coefficient, with a fixed adjustment step size of 0.05 and an adjustment cycle of one second, and the proportional coefficient is not lower than the preset lower limit of 0.6. When the flow deviation signal persists for more than eight seconds, the proportional-integral regulator automatically increases its integral coefficient, with a fixed adjustment step size of 0.01 and an adjustment cycle of one second, and the integral coefficient is not higher than the preset upper limit of 0.20. All the above adjustments are performed once within a one-second cycle, with only one step executed at a time, ensuring gradual parameter changes and preventing equipment operational jitter.

[0050] When the forward-looking instruction parser detects that downstream equipment is about to enter a production changeover state, causing a decrease in expected flow rate, feedforward compensation reduces the target discharge speed of upstream equipment in advance. This allows upstream equipment to proactively slow down its discharge before the production changeover occurs, preventing material accumulation during the downstream changeover period. When the production changeover ends and the expected flow rate recovers, feedforward compensation increases the target discharge speed of upstream equipment in advance, ensuring sufficient material supply to downstream equipment immediately after the changeover ends. The proportional-integral (PI) adjustment is calculated from the flow deviation signal and serves as the basic adjustment value for the upstream equipment's discharge speed. In this embodiment, the proportional coefficient is set to 1.2 and the integral coefficient to 0.08 in the initial operating state of the equipment. The integral calculation period is fixed at one second, and the range of the PI adjustment is limited to between -0.3 mm / s and 0.3 mm / s to prevent excessive adjustment from affecting the stable operation of the production line.

[0051] The acceleration capability of upstream equipment is determined by its own hardware parameters, representing the maximum rate of change of the rotational speed and travel speed of the conveying or processing equipment. This parameter is pre-entered into the system and stored as a constraint for the adaptive adjustment of proportional and integral coefficients. The downstream equipment flow fluctuation amplitude refers to the maximum difference in the expected downstream material receiving rate per unit time. The system statistically analyzes the flow rate changes at a one-second interval to determine the magnitude of the flow fluctuation amplitude. In this embodiment, the preset range for the flow fluctuation amplitude is set to ±15 millimeters per second, and the threshold for determining the continuous existence of the flow deviation signal is set to eight seconds.

[0052] The feedforward velocity increment is calculated based on the subsequent flow trend of downstream equipment and is a pre-set compensation adjustment amount. The result of adding the proportional-integral adjustment amount to the feedforward velocity increment is the target discharge speed that the upstream equipment needs to execute, measured in millimeters per second. When determining the trend of the expected flow correction curve, the system continuously extracts the values ​​of five points on the curve for analysis: if the point value continues to increase, it is determined that the downstream equipment is showing an upward flow trend; if the point value continues to decrease, it is determined that the flow is showing a downward trend; if the point value remains basically unchanged, it is determined that the flow is in a stable state. Based on this, the slope k (unit: 1 / second) between the last two points is calculated, and the feedforward velocity increment ΔVff is determined by the following formula: ΔVff=Kf×k×V0; Where Kf is the feedforward gain coefficient, with a value of 0.5~1.2 seconds, and V0 is the current discharge speed of the upstream equipment; After the calculation is completed, ΔVff is limited to the range [-0.25, -0.1] mm / s (decreasing trend) or [0.1, 0.25] mm / s (increasing trend). If k=0, then ΔVff is directly set to zero.

[0053] The target discharge speed is calculated by superimposing the proportional-integral adjustment amount and the feedforward speed increment, with the result rounded to two decimal places. The system also performs limit value verification to ensure that the final speed value does not exceed the allowable range of the upstream equipment's rated discharge speed.

[0054] After completing the basic speed superposition calculation, the speed shaping controller synchronously receives the length ratio signal transmitted from the material density feedback loop. It then executes forced speed regulation logic based on a preset threshold. The forced speed regulation command has a higher priority than the regular proportional-integral adjustment command and feedforward compensation command. The bypass command issued by the manual priority switch mentioned earlier is the highest priority command in the system and can cover all automatic adjustment logic. From a signal connection perspective, the speed shaping controller simultaneously receives signals from the flow deviation detector, the look-ahead command parser, and the material density feedback loop. In a one-to-two split operation, after the two speed shaping controllers complete their calculations independently, they are connected to the arbitrator for speed decision-making. The final target speed signal is filtered by the manual priority switch before being transmitted to the speed driver interface.

[0055] During actual operation, the internal proportional-integral (PI) controller continuously performs closed-loop calculations and adaptive coefficient updates, while the feedforward compensation unit simultaneously analyzes the changing trend of the desired flow correction curve and calculates the compensation increment. After the results of these two calculations are superimposed, a final correction is performed based on the material accumulation detection signal. In the case of flow splitting, an arbitrator is required to select the optimal speed limit. Finally, the operating mode is selected via a manual switch, ultimately generating a stable digital signal for the target discharge speed that is adapted to the current operating conditions. Most existing PI controllers operate with fixed coefficients, making it difficult to adapt to the frequent production changes and large flow fluctuations in furniture production lines. Severe flow fluctuations can easily cause equipment oscillations, and they cannot correct for long-term steady-state deviations. Furthermore, they do not incorporate the dynamic response capabilities of upstream equipment and lack the ability to adapt to multi-flow splitting and manual intervention conditions.

[0056] This invention employs a dual adaptive adjustment mechanism of proportional and integral coefficients. The proportional coefficient is dynamically adjusted based on downstream flow fluctuations to ensure stable equipment operation under dynamic conditions. The integral coefficient dynamically corrects and eliminates long-term steady-state deviations. Constraints are achieved by integrating the acceleration capabilities of upstream equipment throughout the process. Furthermore, it incorporates a dual-path parallel control architecture with arbitration speed limiting and a manual / automatic dual-mode switching architecture, fully adapting to various production scenarios, including single-path series and multi-path splitting. This design overcomes the limitations of traditional fixed-parallel adjustment, single-condition operation, and the lack of manual intervention. It balances dynamic anti-interference capabilities, steady-state control accuracy, full-scenario adaptability, and operational fault tolerance, constructing a multi-level, multi-dimensional intelligent control system. This is the core innovation of this invention in terms of control algorithm, overall system architecture, and engineering application.

[0057] When the same upstream device supplies material to two downstream devices simultaneously, this system can also adapt to a one-to-two split-flow feeding condition. In this case, the system includes two parallel continuous flow observers, two parallel look-ahead command parsers, and two parallel speed shaping controllers, each corresponding to one downstream device. It also includes an arbitrator, which receives the target discharge speeds output by the two speed shaping controllers and selects the smaller value as the actual final target discharge speed of the upstream device to ensure that the downstream device with stricter discharge speed requirements does not experience overfeeding.

[0058] In addition to the conventional one-to-one serial production mode, the one-to-two split-feed mode, which is common in customized furniture production lines, where a single upstream processing or conveying device simultaneously connects to two downstream processing devices via a split-feed structure, forming a parallel production layout with one feeding path and two split processing paths, can also be adapted to this system. For this special mode, the system adopts two independent parallel control architectures to manage and control the two downstream devices separately, achieving decoupled operation and precise control of the two devices.

[0059] The system assigns a complete control unit to each downstream device, comprising two parallel-running continuous flow observers, two parallel-running look-ahead command parsers, and two parallel-running speed shaping controllers. The two control units are independent in terms of hardware structure, data acquisition, and logic operations, and their operation is uninterrupted. Each control unit corresponds to a single downstream device, independently collecting operating data such as remaining processing time, board length, CNC program instructions, flow fluctuation status, and material accumulation status. It independently completes a series of calculations, including expected flow calculation, expected flow correction curve generation, proportional-integral adaptive adjustment, feedforward compensation superposition, and forced speed regulation correction, ultimately outputting an independent target discharge speed adapted to the operating conditions of its respective downstream device.

[0060] The arbitrator, an additional logic unit in the system, is deployed in a programmable logic controller (PLC) or embedded industrial control motherboard within the transfer control cabinet. It is primarily used for speed decision-making and arbitration in a one-to-two split operation. The arbitrator's signal input terminals are electrically connected to the speed output ports of the two speed shaping controllers, enabling it to synchronously receive independent target output speed values ​​from both devices. The arbitrator's arbitration cycle is set to one second. During operation, it compares the two speed values ​​in real time, selecting the smaller of the two target output speeds as the final target output speed executed by the upstream device, and transmitting this final speed value to the downstream device.

[0061] It's important to note that the design principle of this arbitration logic is based on the following: a smaller target output speed indicates that the corresponding downstream equipment currently has more production changeover tasks, lower processing load, weaker material receiving capacity, and more stringent overall operating constraints. If the upstream equipment supplies material at a higher speed, it can lead to material accumulation, blockages, equipment stalls, and production changeover errors in the downstream equipment with stricter operating constraints. By adopting a speed-limiting strategy that selects the minimum value, it prioritizes ensuring that the branch equipment with stricter constraints does not experience oversupply, while the other branch with relatively relaxed operating conditions will only experience temporary material shortages, avoiding material accumulation-related failures. This approach ensures the continuous and stable operation of the entire branch production line at the cost of a slight reduction in conveying efficiency. The arbitrator is also equipped with numerical latching, signal anti-jitter, and anti-misjudgment logic. When the minimum value determined in three consecutive arbitration cycles remains consistent, the final output speed is updated to avoid frequent speed adjustments and operational jitters caused by instantaneous numerical fluctuations in upstream equipment, ensuring a smooth and stable speed adjustment process. If the minimum value fails to remain consistent within three consecutive cycles, the arbitrator maintains the previous valid output speed unchanged until the consistency condition is met before updating.

[0062] Currently, most split-feed production lines typically employ a fixed, uniform feeding speed or a single-path follow-up control mode, which cannot adapt to the differentiated production changeover rhythms and processing conditions of the two downstream devices. This often results in an imbalance where one path is stockpiled while the other is idle. Furthermore, the industry lacks a dedicated speed arbitration structure for multi-path devices, leading to low equipment operational fault tolerance. This invention adopts an overall architecture of independent sensing, independent calculation, and unified arbitration speed limiting for both paths, fully adapting to the differentiated processing conditions of the two downstream devices. By utilizing a minimum speed arbitration mechanism, it fundamentally avoids stockpiling failures during the split-feeding process, thus addressing a technological shortcoming in the intelligent linkage control of one-to-two split-feed production lines for panel furniture. This design expands the system's application scope, enabling it to simultaneously adapt to various layouts such as one-to-one serial production lines and complex multi-path split-feed production lines. This is an innovative design in terms of production line adaptability and complex operating condition control.

[0063] This system is also equipped with a manual priority switch, which is connected before the speed driver interface. Its output selectively connects to either an externally manually input speed signal or the target discharge speed output by the speed shaping controller. When the switch is in the manual position, the speed driver interface receives a fixed speed command manually input from the outside, and the output signals of the continuous flow observer, look-ahead command parser, flow deviation detector, and speed shaping controller are bypassed. When the switch is in the automatic position, the speed driver interface receives the target discharge speed output by the speed shaping controller.

[0064] The manual priority switch is an additional component for switching operating modes and controlling permissions within the system. It is connected in series with the speed shaping controller or the arbitrator in a one-to-two operating mode, positioned behind the speed driver interface and in front of the arbitrator interface. It serves as a logical switching node at the end of the system control link. This switch has the highest execution priority, enabling smooth switching between fully automatic intelligent control mode and manual speed adjustment mode. It is suitable for various special production scenarios such as production line equipment debugging, daily maintenance, fault diagnosis, and equipment trial operation.

[0065] This switch features a position interlock structure, distinguishing only between manual and automatic operating positions, with no intermediate unused positions. This effectively prevents safety issues such as signal interruption and sudden equipment shutdown during position switching. The switch has two signal input channels: one connects to the speed signal automatically generated by the system, and the other connects to an externally input manual speed signal. The equipment output is uniquely connected to the speed driver interface, enabling selective conduction control of either signal. When the switch is switched to the manual position, the system forcibly bypasses the output signals of all automatic control links. The desired flow signal output by the continuous flow observer, the desired flow correction curve signal output by the look-ahead command analyzer, the flow deviation signal output by the flow deviation detector, and the target discharge speed signal generated by the speed shaping controller all become ineffective and no longer participate in speed control calculations or signal output. At this time, the speed driver interface only receives externally input manual fixed speed commands issued by the operator through the human-machine interface, external potentiometer, or industrial control panel. The upstream equipment operates entirely at the manually set constant speed, detached from the system's fully automatic closed-loop control logic. In manual mode, the equipment operates at a fixed speed, unaffected by downstream equipment changes, flow fluctuations, or material accumulation. The entire process is autonomously controlled by the operator. When the switch is moved to the automatic position, the external manual speed signal is cut off and bypassed, resuming the system's complete intelligent control chain. The speed driver interface normally receives the target discharge speed output from the speed shaping controller; in a one-to-two split operation, it receives the final target discharge speed output from the arbitrator. The system relies on a complete set of intelligent logic, including flow closed-loop comparison, forward-looking instruction feedforward compensation, adaptive proportional-integral adjustment, material density feedback as a fallback, and multi-channel speed arbitration, to autonomously adjust the discharge speed of upstream equipment in real time, achieving fully automated, interconnected production.

[0066] This switch adheres to the design principle of manual priority. Regardless of the automatic control system's operating state, once switched to manual mode, all automatic calculation signals are immediately blocked, ensuring that manual operation has the highest authority and preventing conflicts between automatic program instructions and manual operation instructions. Simultaneously, the switch switching process is equipped with software anti-shake and speed gradual change logic, ensuring a smooth transition in equipment speed during mode switching, preventing abrupt acceleration and deceleration, protecting the conveyor mechanical structure, and guaranteeing the quality of sheet metal processing. Traditional intelligent control systems mostly only have a fully automatic operation mode and lack a manual bypass switching structure. When conducting equipment debugging, production line maintenance, single-equipment trial operation, or fault diagnosis, the entire production line must be shut down, making it impossible to individually control upstream equipment for low-speed jogging or constant-speed operation, resulting in insufficient flexibility in on-site equipment maintenance. This invention adds an independent manual priority switching switch to build a dual-mode architecture of automatic intelligent control and manual manual management. With the help of bypass design, the two types of operating conditions are completely decoupled. It can not only give full play to the advantages of fully automatic and precise linkage control during normal production, but also meet the needs of manual intervention in scenarios such as equipment debugging, maintenance, fault reset, and trial production, thus taking into account the practicality of intelligent production and on-site operation and maintenance.

[0067] The speed driver interface is used to convert the target discharge speed into a speed command signal for the upstream equipment's conveyor or feed motor, and executes it in real time. The speed command signal controls the operating status of various upstream motors, with motor speed uniformly measured in revolutions per minute (rpm). The numerical conversion process follows a linear conversion rule. Under normal discharge conditions per unit length of material, the reference speed of the motor is set to 120 rpm. Combining the proportional relationship between the target discharge speed and the reference flow rate, the actual operating speed required by the motor is calculated. Let the target discharge speed be V (mm / s), the reference flow rate be V0 (mm / s), and the reference speed be N0 (rpm). Then, the actual operating speed N (rpm) of the motor is calculated using the following formula: N = N0 × (V / V0); The interface's workflow is divided into three consecutive stages, with clearly defined triggering conditions and operational actions for each stage. When the interface detects a valid signal transmitted by the manual priority switch, it enters the signal reception stage to complete the signal acquisition.

[0068] The signal conversion phase then begins. The interface completes the numerical conversion according to preset conversion rules, with the time for each conversion strictly controlled within ten milliseconds. After conversion, the signal transmission phase begins, where the interface pushes the speed command signal to the motor drive unit. The signal transmission frequency is consistent with the overall system control cycle, i.e., once per second. In terms of wiring, the input of the speed driver interface is connected to the output of the manual priority switch, and the output is connected to the upstream equipment's power supply motor driver and feed motor driver, respectively, enabling direct transmission of control signals.

[0069] In its operation, the interface incorporates a signal conversion chip and communication drive circuit. Upon receiving a valid target speed digital signal, it automatically runs an internal conversion calculation program to complete the numerical conversion, and then sends the speed command signal to the corresponding motor driver via the industrial control bus. Upon receiving the control command, the driver immediately adjusts the actual operating speed of the motor, completing the entire control action. This module serves as the connection hub between the entire control system and upstream execution equipment, accurately performing format conversion and numerical calculation of control signals. This ensures that fully automatic intelligent control commands or manual control commands are applied to the production equipment without deviation or delay, allowing the entire control logic to operate stably. This structure is adaptable to various operating conditions, including fully automatic production, manual debugging, fault diagnosis, and multi-branch split production, demonstrating excellent overall equipment versatility and on-site implementation effectiveness.

[0070] This invention calculates the desired flow rate by integrating time-length dual-dimensional parameters through a continuous flow observer; a look-ahead command parser performs detailed analysis of five types of CNC commands to achieve proactive prediction; a flow deviation detector and a material density feedback loop construct a closed-loop and fallback dual control mechanism; a speed shaping controller generates a precise target speed by adaptive proportional-integral adjustment superimposed with feedforward compensation; an arbitrator uses minimum value selection for speed limiting in a one-to-two working condition; and a manual priority switching switch achieves smooth switching between automatic and manual modes. All units work together to alleviate the problems of material flow imbalance, production changeover accumulation, and equipment downtime due to material shortages in the discrete production of customized office furniture.

[0071] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. An intelligent serial control system for discrete production equipment of customized office furniture, characterized in that, include: A continuous flow observer, whose input is connected to the controller of a downstream device, is used to read in real time the remaining processing time of the board currently being processed by the downstream device and the estimated processing time of the next board to be processed after the completion of the board, and to determine a continuous expected flow value based on the remaining processing time and the estimated processing time. The expected flow value represents the material receiving rate of the downstream device in a continuous period of time after the current moment. A look-ahead instruction parser, whose input is connected to the CNC program buffer of the downstream equipment, is used to pre-parse the production change instructions and speed change instructions that the downstream equipment will execute within a certain time window in the future, and convert these instructions into a desired flow correction curve on a time axis. A flow deviation detector is used to compare the expected flow rate value output by the continuous flow observer with the current real-time discharge flow rate value of the upstream equipment to obtain a flow deviation signal; A speed shaping controller is provided, the input of which is simultaneously connected to the output of the flow deviation detector and the expected flow correction curve output by the look-ahead command parser. The speed shaping controller contains a proportional-integral (PI) controller with feedforward compensation. The PI controller calculates the PI adjustment amount of the upstream equipment's discharge speed based on the flow deviation signal. The feedforward compensation generates a feedforward speed increment in advance based on the future flow decrease or increase trend in the expected flow correction curve. The feedforward speed increment is superimposed with the PI adjustment amount to form the target discharge speed of the upstream equipment. A speed driver interface is provided for converting the target discharge speed into a speed command signal for the upstream equipment conveyor motor or feed motor, and sending it out for execution in real time.

2. The intelligent serial control system for discrete production equipment of customized office furniture according to claim 1, characterized in that, When the look-ahead instruction parser determines that the downstream equipment is about to enter a production changeover state, resulting in a decrease in the expected flow rate, the feed-forward compensation reduces the target output speed of the upstream equipment in advance, so that the upstream equipment actively slows down the output before the production changeover occurs, in order to avoid the accumulation of materials during the downstream production changeover. When the production changeover ends and the expected flow rate recovers, the feed-forward compensation increases the target output speed of the upstream equipment in advance, so that the upstream equipment has sufficient material supply to the downstream at the moment the production changeover ends.

3. The intelligent serial control system for discrete production equipment of customized office furniture according to claim 1, characterized in that, The continuous flow observer calculates the expected material receiving rate of the downstream equipment at the current moment based on the remaining processing time and remaining material length of the current plate of the downstream equipment, as well as the estimated processing time and material length of the next plate to be processed. The calculation is repeated at a fixed period to generate a continuous expected flow signal.

4. The intelligent serial control system for discrete production equipment of customized office furniture according to claim 1, characterized in that, The instructions parsed by the look-ahead instruction parser from the downstream device CNC program include at least: Feed rate ratio change command, spindle start / stop command, tool change command, glue pan cleaning command, dust extraction valve switching command; Each instruction corresponds to a preset standard time, which is stored in the system's instruction time database and used to determine the magnitude and duration of the decrease in the desired flow correction curve.

5. The intelligent serial control system for discrete production equipment of customized office furniture according to claim 1, characterized in that, It also includes a material density feedback loop, which contains a non-contact material accumulation detection sensor installed on the conveyor section between the upstream and downstream equipment; The sensor outputs the proportion of the current material occupying the conveyor section. The length ratio is input as an additional feedback signal to the speed shaping controller. When the length ratio exceeds a preset upper limit threshold, the speed shaping controller forcibly reduces the target output speed; when the length ratio is lower than a preset lower limit threshold, the speed shaping controller forcibly increases the target output speed.

6. The intelligent serial control system for discrete production equipment of customized office furniture according to claim 5, characterized in that, The non-contact material accumulation detection sensor is a laser ranging array or an ultrasonic sensor array, arranged at equal intervals along the length of the conveying section. The proportion of continuous material occupancy on the conveying section is determined by the material obstruction state between adjacent sensors.

7. The intelligent serial control system for discrete production equipment of customized office furniture according to claim 1, characterized in that, The upstream equipment is any one of a panel saw, edge banding machine, six-sided drill, milling machine, or power conveyor belt; the downstream equipment is any of the above-mentioned equipment located after the upstream equipment and directly connected to the upstream equipment through a conveyor section.

8. The intelligent serial control system for discrete production equipment of customized office furniture according to claim 1, characterized in that, The proportional and integral coefficients of the proportional-integral regulator in the speed shaping controller are adaptively adjusted based on the acceleration capability of the upstream equipment and the flow fluctuation amplitude of the downstream equipment. When the flow rate fluctuation of the downstream device exceeds the preset range, the proportional-integral regulator automatically reduces its proportional coefficient; when the flow rate deviation signal persists for a longer period than a set threshold, the proportional-integral regulator automatically increases its integral coefficient.

9. The intelligent serial control system for discrete production equipment of customized office furniture according to claim 1, characterized in that, When the same upstream device supplies material to two downstream devices at the same time, the system includes two parallel continuous flow observers, two parallel look-ahead command parsers, and two parallel speed shaping controllers, each corresponding to one downstream device. The system also includes an arbitrator that receives the target discharge speeds output by two speed shaping controllers and selects the smaller of the two values ​​as the actual final target discharge speed of the upstream equipment, so as to ensure that the downstream equipment with stricter discharge speed requirements will not experience overfeeding.

10. The intelligent serial control system for discrete production equipment of customized office furniture according to claim 1, characterized in that, It also includes a manual priority switch, which is connected before the speed driver interface and whose output can selectively connect to an external manually given speed signal or the target output speed of the speed shaping controller. When the switch is in the manual position, the speed driver interface receives a fixed speed command manually given externally, and the output signals of the continuous flow observer, look-ahead command parser, flow deviation detector and speed shaping controller are bypassed. When the switch is in the automatic position, the speed driver interface receives the target discharge speed output by the speed shaping controller.

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