Part dispatching system for transformer production workshop

Abstract

The invention relates to the technical field of workshop production management, in particular to a part dispatching system for a transformer production workshop. Comprising a server, a production monitoring module and an intelligent scheduling module. The production evaluation value of each station is obtained by collecting and analyzing the production information of each station in real time, the production activity of each station in a workshop can be carefully monitored and analyzed, important data support is provided for the intelligent scheduling module, and reasonable configuration of parts is facilitated; by comprehensively analyzing and planning the production evaluation value of each station, the part demand information and the performance of the distribution robot, the scheduling sequence and the distribution priority of the parts can be intelligently planned, so that the scheduling process is more accurate, the actual demand of production is effectively responded, and the accuracy and the flexibility of production management are improved; in the whole scheduling process, by continuously accumulating production information and distribution information, the scheduling algorithm and strategy are gradually optimized, so that the part scheduling is more accurate and efficient.

Description

Technical Field

[0001] The present invention relates to the technical field of workshop production management, and particularly to a component scheduling system for a transformer production workshop. Background Art

[0002] The component scheduling in a transformer production workshop is a process for managing and coordinating the transportation and distribution of components from a warehouse or a previous process to production workstations; its main function is to ensure that the on-line manufacturing process at each workstation in the transformer production workshop can obtain the required components in a timely manner to guarantee the production efficiency of the transformer production workshop; therefore, component scheduling is particularly important for a transformer production workshop.

[0003] Currently, components in a transformer production workshop are usually scheduled manually, that is, operators manually extract components from a warehouse or an intermediate storage area according to a production plan and actual requirements, and deliver them to each production workstation through transportation tools such as handcarts and forklifts; this scheduling method relies on manual operations, has a slow speed, cannot guarantee accuracy, and is difficult to respond to the dynamic requirements of the production line in real time, resulting in untimely component supply; especially in a large transformer production workshop with a complex production environment, it is more likely to make mistakes, reducing the production efficiency of the transformer production workshop. Summary of the Invention

[0004] The purpose of the present invention is to provide a component scheduling system for a transformer production workshop to solve the above-mentioned technical problems in the prior art.

[0005] The technical solution adopted by the present invention to solve the above-mentioned technical problems is as follows: A component scheduling system for a transformer production workshop includes: a server, a production monitoring module, and an intelligent scheduling module;

[0006] The server communicates with each sensor in the transformer production workshop to obtain the production information of each workstation in the workshop; wherein the production information includes the consumption amount, output amount, and qualification rate of various components

[0007] The production monitoring module deeply analyzes the production status of each workstation in the transformer workshop based on the production information to obtain a production evaluation value, and sends it to the intelligent scheduling module;

[0008] The intelligent scheduling module plans the component scheduling for each workstation based on the production evaluation value of each workstation. The specific steps of the planning are as follows:

[0009] Step 1: Obtain the component demand information received by the warehouse terminal from each workstation terminal in the transformer workshop. The component demand information includes the submission time, component types, and the demand quantity of various components; comprehensively analyze the component demand information and the production evaluation value of the workstations that submit the component demand information to obtain a scheduling value;

[0010] Step 2: Arrange the workstations that submit component requirement information in descending order according to their corresponding scheduling values, and select the workstation that submits component requirement information with the largest scheduling value as the calibration workstation;

[0011] Step 2: There are several distribution robots in the warehouse. Obtain the historical distribution information of each distribution robot, and perform distribution efficiency analysis based on this to obtain a distribution efficiency evaluation value;

[0012] Step 3: Obtain the fault maintenance information of each distribution robot, and perform fault maintenance degree and fault frequency analysis based on this to obtain a maintenance value and a fault frequency value;

[0013] Step 4: Obtain the number of components to be distributed by the distribution robot, denoted as U, and substitute it, together with the distribution efficiency evaluation value Rd, the maintenance value FW, and the fault frequency value FG, into the set formula

[0014] Perform normalization processing and take its value, and analyze the value to obtain a performance value Ug, where g5, g6, g7, and g8 are respectively set proportionality coefficients; Arrange the distribution robots in descending order according to their corresponding performance values, select the distribution robot with the largest performance value as the calibration robot, and assign the component distribution task of the calibration workstation to the calibration robot, then the number of components to be distributed by this calibration robot increases by one;

[0015] Step 5: Repeat Steps 1 to 4 until all the workstations that submit component requirement information are assigned; Whenever a distribution robot completes the distribution task of a workstation that submits component requirement information, the corresponding number of components to be distributed decreases by one, and a distribution information is generated, where the distribution information includes the distribution distance, the distribution duration, and the distribution quantity; Update the current distribution information to Step 2.

[0016] Preferably, the specific process of comprehensive analysis based on the component requirement information and the production evaluation value of the workstations that submit component requirement information is as follows:

[0017] Calculate the time difference between the submission time and the current system time to obtain the submission duration, and thus the submission duration of each component requirement information received by the warehouse terminal is denoted as T1;

[0018] Obtain the location of the workstation that submits component requirement information, the location of the warehouse, and the layout diagram of the transformer workshop, and calculate the interval distance between the location of the workstation that submits component requirement information and the location of the warehouse based on the layout diagram of the transformer workshop, denoted as T2;

[0019] Retrieve the production evaluation value SV of the workstations that submit the demand information of each component, and substitute it together with the submission duration T1 and the interval distance T2 into the set formula ST = c1×SV + c2×T1 + c3×T3 for calculation to obtain the scheduling value ST, where c1, c2, and c3 are respectively the set proportionality coefficients, and thus the scheduling values of the workstations that submit the demand information of each component can be obtained.

[0020] Preferably, the specific process of analyzing the distribution efficiency based on the historical distribution information of each distribution robot is as follows:

[0021] There are several distribution robots in the warehouse. Obtain the historical distribution information of each distribution robot, where the historical distribution information includes the number of distributions and the distribution distance, distribution duration, and distribution volume corresponding to each distribution, and record them as L1, L2, and L3 respectively; through the set formula Calculate to obtain the distribution value Ld of each distribution, where d1 and d2 are respectively the set proportionality coefficients;

[0022] Compare and analyze the distribution value with the set distribution interval to divide the number of distributions corresponding to the distribution value into high-efficiency distribution, medium-efficiency distribution, and low-efficiency distribution; respectively count the cumulative number of high-efficiency distribution, medium-efficiency distribution, and low-efficiency distribution, and record them as R1, R2, and R3 respectively; sum up the distribution values corresponding to high-efficiency distribution, medium-efficiency distribution, and low-efficiency distribution to obtain the high-efficiency distribution value, medium-efficiency distribution value, and low-efficiency distribution value, and record them as R4, R5, and R6 respectively;

[0023] Substitute R1, R2, R3, R4, R5, and R6 into the set formula Calculate to obtain the distribution efficiency evaluation value Rd, where d3, d4, and d5 are respectively the set proportionality coefficients, and d3 > d4 > d5 > 0.

[0024] Preferably, the specific process of analyzing the degree of fault maintenance and the frequency of faults based on the fault maintenance information of each distribution robot is as follows:

[0025] Obtain the fault maintenance information of each distribution robot. The fault maintenance information includes the number of faults and the maintenance duration and maintenance time corresponding to each fault; record any one fault maintenance as q, where q = 1, 2, 3... Q, Q takes positive integers, and Q represents the total number of fault maintenances; thus, the maintenance duration corresponding to each fault maintenance can be recorded as Aq;

[0026] Fault maintenance degree analysis: Taking time as the abscissa and maintenance duration as the ordinate, a curve graph of the change of maintenance duration with time is obtained. At each maintenance point, a tangent line to the curve is made, and the tangent line expression is obtained by data fitting. The derivative operation is performed on the tangent line expression to obtain the maintenance derivative; the sum of the maintenance derivatives greater than zero is calculated to obtain the maintenance increase value denoted as F1, and the sum of the maintenance derivatives less than zero is calculated and the absolute value is taken to obtain the maintenance decrease value denoted as F2;

[0027] Substitute the maintenance duration Aq, the maintenance increase value F1, and the maintenance decrease value F2 into the set formula for calculation to obtain the maintenance value FW, where g1 and g2 are respectively the set proportionality coefficients;

[0028] Fault frequency analysis: Sort the fault maintenance times in the order of the corresponding maintenance times, and calculate the interval duration between two adjacent maintenances denoted as Taking the fault maintenance times as the abscissa and the interval duration as the abscissa, a curve graph of the change of the interval duration is obtained; at each interval point, a tangent line to the curve is made, and the tangent line expression is obtained by data fitting. The derivative operation is performed on the tangent line expression to obtain the interval derivative; the sum of the interval derivatives greater than zero is calculated to obtain the interval increase value denoted as F3, and the sum of the interval derivatives is calculated and the absolute value is taken to obtain the interval decrease value denoted as F4;

[0029] Substitute the interval duration the interval increase value F3, and the interval decrease value F4 into the set formula for calculation to obtain the fault frequency value FG, where g3 and g4 are respectively the set proportionality coefficients.

[0030] Preferably, the specific process of further analyzing the production status of each workstation in the transformer workshop based on production information is as follows:

[0031] Retrieve the production information corresponding to each workstation at each collection moment, where the production information includes the consumption quantity, output quantity, and qualification rate of various types of parts, and denote the output quantity and the qualification rate as Cn and Hn respectively; n = 1, 2, 3... N, N and M are positive integers, N represents the total number of collection moments, and n represents the serial number of any one of the collection moments;

[0032] Set that each part corresponds to an importance coefficient in the composed transformer. Compare each part consumed by the workstation with all the set parts to match the corresponding importance coefficient. Multiply the importance coefficient by the consumption quantity of the corresponding part to obtain the weighted consumption value. Thus, the weighted consumption values corresponding to various types of parts can be obtained and denoted as Bnm, where m = 1, 2, 3... M, M represents the total number of part types, n represents the serial number of any one of the collection moments, and m represents the serial number of any one of the parts;

[0033] Compare and analyze the re - consumption values of various components with the set re - consumption range to classify the components corresponding to the re - consumption values into highly important components, moderately important components, and lowly important components. Respectively count the quantities of highly important components, moderately important components, and lowly important components, and denote them as Y1, Y2, and Y3 respectively; substitute Y1, Y2, Y3, and Bnm into the set formula Perform calculations to obtain the key values Yan of the components corresponding to each collection moment at the workstation, where a1, a2, and a3 are respectively the set proportionality coefficients, and a1 > a2 > a3 > 0;

[0034] Retrieve the key values Yan of the components, the output Cn, and the qualification rate Hn corresponding to each collection moment at the workstation, and perform Calculations to obtain the production index YHn corresponding to each collection moment at the workstation, where b1, b2, and b3 are respectively the set proportionality coefficients;

[0035] Take time as the abscissa and the production index as the ordinate to obtain the curve graph of the production value of the workstation changing with time; make tangents to the curve at each production point, use data fitting to obtain the tangent expression, and perform derivative calculation on the tangent expression to obtain the production derivative denoted as Sn; sum the production derivatives greater than zero to obtain the production acceleration value denoted as V1, and sum and take the absolute value of the production derivatives less than zero to obtain the production deceleration value denoted as V2;

[0036] Substitute the production index Yhn, production derivative Sn, production acceleration value V1, and production deceleration value V2 corresponding to each collection moment into the set formula Perform calculations to obtain the production evaluation value SV of the workstation, where f1, f2, and f3 are respectively the set proportionality coefficients, is the average value of the production derivatives corresponding to each production point; thus, the production evaluation values of each workstation can be obtained and sent to the intelligent scheduling module.

[0037] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0038] 1. By collecting and analyzing the production information of each workstation in real - time (such as the consumption quantities, output quantities, and qualification rates of various components), the production evaluation values of each workstation can be obtained, enabling detailed monitoring and analysis of the production activities of each workstation in the workshop. This refined monitoring allows managers to timely understand the operating status of each workstation, provides important data support for the intelligent scheduling module, and helps with the reasonable allocation of components;

[0039] 2. By comprehensively analyzing and planning the production evaluation values of each workstation, the component demand information, and the performance of the distribution robots, it is possible to intelligently plan the scheduling sequence and distribution priority of components. This data-driven decision-making makes the scheduling process more accurate, effectively responds to the actual production needs, and improves the accuracy and flexibility of production management. During the entire scheduling process, by continuously accumulating production information and distribution information, the scheduling algorithm and strategy are gradually optimized, making the component scheduling more accurate and efficient.

[0040] In summary, the present invention realizes the intelligent scheduling of components in the transformer production workshop, effectively improves the production efficiency, resource utilization rate, and overall management level of the transformer workshop, and provides strong support for the intelligent management of the transformer manufacturing process. Brief Description of the Drawings

[0041] Figure 1 It is a connection schematic diagram of the system modules of the present invention. Detailed Embodiments

[0042] Next, the technical solutions of the present invention will be clearly and completely described in conjunction with the drawings and specific embodiments.

[0043] As Figure 1 shown, the present invention is a component scheduling system for a transformer production workshop, which includes: a server, a production monitoring module, and an intelligent scheduling module;

[0044] The server communicates with each sensor in the transformer production workshop to obtain the production information of each workstation in the workshop; the production information includes the consumption quantity, output quantity, and qualification rate of various components.

[0045] The production monitoring module deeply analyzes the production status of each workstation based on the production information of each workstation in the workshop to obtain a production evaluation value, specifically:

[0046] Retrieve the production information corresponding to each workstation at each collection moment, where the production information includes the consumption quantity, output quantity, and qualification rate of various components, and record the output quantity and qualification rate as Cn and Hn respectively; n = 1, 2, 3... N, N is a positive integer, N represents the total number of collection moments, and n represents the serial number of any one of the collection moments; it should be noted that the consumption quantity and finished product quantity of various components corresponding to each collection moment refer to the quantity of various components consumed by the workstation and the quantity of products completed during the time period from the previous collection moment to this collection moment; the qualification rate corresponding to each collection moment refers to the percentage of the number of qualified products detected at this workstation to the total quantity during the time period from the previous collection moment to this collection moment, and the qualification rate reflects the production quality of the workstation during this time period; therefore, each collection moment corresponds to a consumption quantity, output quantity, and qualification rate of various components.

[0047] Each component is assigned an importance coefficient in the assembled transformer. It should be noted that the importance coefficient is usually determined by those skilled in the art through comprehensive consideration of factors such as the importance of the component, the criticality of its function, and its substitutability. For example, the iron core is the core component of the transformer, mainly used for magnetic flux transmission, and has a key impact on the efficiency and energy consumption of the transformer; the coil is used for electrical energy transmission and transformation, is the main electrical component of the transformer, and directly affects the electrical performance and output quality of the transformer; the outer shell is used to protect the internal components from external damage and environmental impacts, and has a certain impact on the durability and protection performance of the transformer; the importance coefficient corresponding to the iron core > the importance coefficient corresponding to the coil > the importance coefficient corresponding to the outer shell; compare each component consumed at the workstation with all the set components to match the corresponding importance coefficient, multiply the importance coefficient by the consumption quantity of the corresponding component to obtain the weighted consumption value. Thus, the weighted consumption values corresponding to various components can be obtained, and they are denoted as Bnm, where m = 1, 2, 3... M, M takes positive integer values, M represents the total number of component types, n represents the serial number of any one of the acquisition times, and m represents the serial number of any one type of component;

[0048] Compare and analyze the weighted consumption values of various components with the set weighted consumption interval. When the weighted consumption value is greater than the maximum value in the set weighted consumption interval, it means that for the workstation, the more important the component is; then mark this component as a highly important component; when the weighted consumption value is within the set weighted consumption interval, then mark this component as a moderately important component; when the weighted consumption value is less than the minimum value in the set weighted consumption interval, then mark this component as a low-importance component; respectively count the quantities of highly important components, moderately important components, and low-importance components, and denote them as Y1, Y2, and Y3; use the set formula to calculate the component key value Yan corresponding to the workstation at each acquisition time, where a1, a2, and a3 are the set proportionality coefficients respectively, and a1 > a2 > a3 > 0; it can be seen from the formula that when the types of components consumed at the workstation are more, and the importance coefficients corresponding to each component are greater, it means that the production work at this workstation plays a key role in the production process of the transformer, indicating that the operation of this workstation has a significant impact on the performance and quality of the transformer finished product, and then the component key value is greater;

[0049] Retrieve the component key value Yan, output quantity Cn, and qualification rate Hn corresponding to the workstation at each acquisition time and perform calculations through the set formula The production index YHn corresponding to each acquisition moment of the working position is calculated, where b1, b2, and b3 are respectively set proportionality coefficients; it can be seen from the formula that when the key value of the component is larger, it indicates that the operation of this working position has a significant impact on the performance and quality of the finished transformer, and the production index is larger; when the output is larger, it indicates that the production efficiency of this work is higher, and the production index is larger; when the qualified rate is larger, it indicates that the quality of the products produced at this working position is better, and the production index is larger.

[0050] Taking time as the abscissa and the production index as the ordinate, a two-dimensional rectangular coordinate axis is constructed. The production index is input into the coordinate axis according to its corresponding acquisition moment, and the position of the production index in the coordinate axis is recorded as the production point. A smooth curve is used to connect each production point in turn to obtain the curve graph of the production value of the working position changing with time; at each production point, a tangent to the curve is made, and the tangent expression is obtained by data fitting. The derivative calculation is performed on the tangent expression to obtain the production derivative, which is denoted as Sn; it should be noted that when the production derivative is greater than zero, it indicates that the production value shows an increasing trend at this production point; when the production derivative is less than zero, it indicates that the production value shows a decreasing trend at this production point.

[0051] The sum of the production derivatives greater than zero is calculated to obtain the production acceleration value denoted as V1, and the sum of the production derivatives less than zero is calculated and the absolute value is taken to obtain the production deceleration value denoted as V2. Using the set formula is calculated to obtain the production evaluation value SV of the working position, where f1, f2, and f3 are respectively set proportionality coefficients, is the average value of the production derivatives corresponding to each production point; thus, the production evaluation values of each working position can be obtained and sent to the intelligent scheduling module; it can be seen from the formula that when the production acceleration value is larger and the production deceleration value is smaller, the production evaluation value is larger; when the production index fluctuates more, it means that the production index of this working position is more unstable, and the production evaluation value is smaller.

[0052] By collecting and analyzing the production information (such as the consumption of various components, output, and qualified rate) of each working position in real time to obtain the production evaluation value of each working position, the production activities of each working position in the workshop can be monitored and analyzed in detail. This refined monitoring enables managers to timely understand the operating status of each working position, provides important data support for the intelligent scheduling module, and helps with the reasonable allocation of components.

[0053] Based on the production evaluation values of each working position, the intelligent scheduling module plans the component scheduling of each working position to realize the intelligentization of component scheduling, maximally respond to the actual production needs, and improve the production efficiency of the transformer workshop; specifically:

[0054] Step 1: Obtain the component demand information received by the warehouse terminal from each workstation terminal in the transformer workshop. The component demand information includes the submission time, component types, and the demand quantity of each type of component. It should be noted that each workstation in the transformer is equipped with a workstation terminal, and the operators of each workstation can submit component demand information to the warehouse terminal. Usually, the workstation operator will judge whether to replenish components based on the current component inventory situation at their workstation and submit the corresponding demand information. For example, if an operator at a certain workstation finds that the inventory of coils at the workstation is low, in order to avoid a shortage of coils during subsequent production, the operator can submit a request for the demand quantity of coils to the warehouse terminal through the workstation terminal. The warehouse prepares and distributes the corresponding components in a timely manner based on the received demand information to ensure the continuity and efficiency of production activities. Calculate the time difference between the submission time and the current system time to obtain the submission duration, and record it as T1. Thus, the submission duration of each component demand information received by the warehouse terminal can be obtained.

[0055] Obtain the location of the workstation that submitted the component demand information, the location of the warehouse, and the layout diagram of the transformer workshop. Calculate the distance between the location of the workstation that submitted the component demand information and the location of the warehouse based on the layout diagram of the transformer workshop, and record it as T2. It should be noted that the farther the distance, the more priority is needed for scheduling to prevent production interruption due to component shortage.

[0056] Retrieve the production evaluation value of each workstation that submitted the component demand information, and calculate the scheduling value ST through the set formula ST = c1×SV + c2×T1 + c3×T3, where c1, c2, and c3 are respectively the set proportionality coefficients. Thus, the scheduling value of each workstation that submitted the component demand information can be obtained.

[0057] Step 2: Sort the workstations that submitted the component demand information in descending order according to their corresponding scheduling values, and select the workstation that submitted the component demand information with the largest scheduling value as the calibrated workstation.

[0058] Step 2: There are several distribution robots in the warehouse. Obtain the historical distribution information of each distribution robot, where the historical distribution information includes the number of distributions, the corresponding distribution distance, distribution duration, and distribution quantity for each distribution, and record them as L1, L2, and L3 respectively. Calculate the distribution value Ld for each distribution through the set formula where d1 and d2 are respectively the set proportionality coefficients. It can be seen from the formula that the larger the distribution distance, the shorter the distribution duration, and the larger the distribution quantity, the larger the distribution value. Thus, the distribution value corresponding to each distribution can be obtained.

[0059] Compare and analyze the delivery value with the set delivery range. When the delivery value is greater than the maximum value in the set delivery range, count one high-efficiency delivery; when the delivery value is within the set delivery range, count one medium-efficiency delivery; when the delivery value is less than the minimum value in the set delivery range, count one low-efficiency delivery. Respectively count the cumulative times of high-efficiency delivery, medium-efficiency delivery, and low-efficiency delivery, and record them as R1, R2, and R3 respectively. Sum up the delivery values corresponding to high-efficiency delivery, medium-efficiency delivery, and low-efficiency delivery to obtain the high-efficiency delivery value, medium-efficiency delivery value, and low-efficiency delivery value, and record them as R4, R5, and R6 respectively. Through the set formula

[0060] calculate the delivery efficiency evaluation value Rd, where d3, d4, d5 are the set proportionality coefficients respectively, and d3 > d4 > d5 > 0;

[0061] Step 3: Obtain the fault maintenance information of each delivery robot. The fault maintenance information includes the number of faults, the maintenance duration and maintenance time corresponding to each fault (here the maintenance time usually refers to the end time of maintenance). It should be noted that generally, the more serious the fault degree, the longer the maintenance time. Denote any one of the fault maintenances as q, where q = 1, 2, 3... Q, and Q takes positive integers, and Q represents the total number of fault maintenances. Thus, the maintenance duration corresponding to each fault maintenance can be denoted as Aq;

[0062] Construct a two-dimensional rectangular coordinate system with time as the abscissa and maintenance duration as the ordinate. Input the maintenance duration into the coordinate axis at its corresponding maintenance time, and denote the position of the maintenance duration in the coordinate axis as the maintenance point. Connect each maintenance point in sequence with a smooth curve to obtain the curve graph of the maintenance duration changing with time. Make a tangent line to the curve at each maintenance point, use data fitting to obtain the tangent line expression, and perform a derivative operation on the tangent line expression to obtain the maintenance derivative. Sum up the maintenance derivatives greater than zero to obtain the maintenance increase value denoted as F1, and sum up and take the absolute value of the maintenance derivatives less than zero to obtain the maintenance decrease value denoted as F2. Use the set formula calculate the maintenance value FW, where g1 and g2 are the set proportionality coefficients respectively. It can be seen from the formula that the larger the maintenance duration, the larger the maintenance value; the larger the maintenance increase value and the smaller the maintenance decrease value, the larger the maintenance value;

[0063] Sort the number of fault maintenances in the order of the corresponding maintenance times, and calculate the interval duration between two adjacent maintenances and denote it as Taking the number of fault maintenance times as the abscissa and the interval duration as the abscissa, a two-dimensional rectangular coordinate system is constructed. The interval duration is input into the coordinate axis according to its corresponding number of fault maintenance times, and the position of the interval duration in the coordinate axis is recorded as an interval point. A smooth curve is used to connect each interval point in turn to obtain a curve graph of the change in interval duration; at each interval point, a curve tangent is made, and the tangent expression is obtained by data fitting. The derivative operation is performed on the tangent expression to obtain the interval derivative; the interval derivatives greater than zero are summed to calculate the interval increase value denoted as F3, and the interval derivatives are summed and the absolute value is taken to calculate the interval decrease value denoted as F4; the fault frequency value FG is calculated using the set formula where g3 and g4 are respectively set proportionality coefficients; it can be seen from the formula that when the interval increase value is larger, it means that the interval duration shows an increasing trend, the fault maintenance interval duration of the delivery robot is larger, and the fault frequency is smaller; when the interval increase value is smaller, it means that the interval duration shows a decreasing trend, the fault maintenance interval duration of the delivery robot is smaller, and the fault frequency is larger;

[0064] Step Four: Obtain the number of parts to be delivered by the delivery robot, denoted as U. The efficiency evaluation value Rd, the maintenance value FW, and the fault frequency value FG are calculated using the set formula to obtain the performance value, where are respectively set proportionality coefficients; each delivery robot is sorted in descending order according to its corresponding performance value, and the delivery robot with the largest performance value is selected as the calibration robot, and the parts delivery task of the calibration station is assigned to the calibration robot, then the number of parts to be delivered by this calibration robot increases by one;

[0065] Step Five: Repeat Step One to Step Four until all workstations that have submitted parts demand information are allocated; whenever a delivery robot completes the delivery task of a workstation that has submitted parts demand information, the corresponding number of parts to be delivered decreases by one, and a delivery message is generated, where the delivery message includes the delivery distance, the delivery duration, and the delivery quantity (the delivery quantity here is specifically the total weight of the parts); this delivery message is updated to Step Two;

[0066] By comprehensively analyzing and planning the production evaluation values, parts demand information, and performance of each workstation, the scheduling order and delivery priority of parts can be intelligently planned. This data-driven decision-making makes the scheduling process more accurate, effectively responds to the actual production needs, and improves the accuracy and flexibility of production management; during the entire scheduling process, by continuously accumulating production information and delivery information, the scheduling algorithm and strategy are gradually optimized, making the parts scheduling more accurate and efficient.

[0067] The above content is only an example and illustration of the technical solution of the present invention. Those skilled in the art can make various modifications, supplements or use similar ways to replace the described embodiments, as long as they do not deviate from the essence of the invention or exceed the scope defined by this claim book, they shall fall within the protection scope of the present invention.

Claims

1. A component scheduling system for a transformer production workshop, characterized in that Including: A server, a production monitoring module, and an intelligent scheduling module; The server communicates with various sensors in the transformer production workshop to obtain production information of each work station in the workshop; the production information includes the consumption, output, and qualification rate of various components The production monitoring module deeply analyzes the production status of each work station in the transformer workshop based on the production information to obtain a production evaluation value, and sends it to the intelligent scheduling module; The intelligent scheduling module plans the component scheduling of each work station based on the production evaluation value of each work station. The specific steps of the plan are as follows: Step 1: Obtain the component demand information received by the warehouse terminal from each work station terminal in the transformer workshop. The component demand information includes the submission time, component type, and the demand quantity of various components; comprehensively analyze the component demand information and the production evaluation value of the work station where each component demand information is submitted to obtain a scheduling value; Step 2: Sort the work stations that submit component demand information in descending order according to their corresponding scheduling values, and select the work station that submits the component demand information with the largest scheduling value as the calibration work station; Step 2: There are several distribution robots in the warehouse. Obtain the historical distribution information of each distribution robot, and analyze the distribution efficiency based on this to obtain a distribution efficiency evaluation value; Step 3: Obtain the fault maintenance information of each distribution robot, and analyze the degree and frequency of fault maintenance based on this to obtain a maintenance value and a fault frequency value; Step 4: Obtain the number of components to be distributed by the distribution robot, normalize it with the distribution efficiency evaluation value, maintenance value, and fault frequency value, and take its numerical value. Analyze the numerical value to obtain a performance value; sort the distribution robots in descending order according to their corresponding performance values, and select the distribution robot with the largest performance value as the calibration robot, and assign the component distribution task of the calibration work station to the calibration robot. Then the number of components to be distributed by this calibration robot increases by one; Step 5: Repeat steps 1 to 4 until all work stations that submit component demand information are allocated; whenever a distribution robot completes the distribution task of a work station that submits component demand information, the corresponding number of components to be distributed decreases by one, and a distribution information is generated. The distribution information includes the distribution distance, distribution duration, and distribution quantity; update this distribution information to step 2.

2. The component scheduling system for a transformer production workshop according to claim 1, characterized in that The specific process of comprehensively analyzing the component demand information and the production evaluation value of the work station where each component demand information is submitted is as follows: Calculate the time difference between the submission time and the current system time to obtain the submission duration, and thus obtain the submission duration of each component demand information received by the warehouse terminal; Obtain the location of the work station that submits component demand information, the location of the warehouse, and the layout diagram of the transformer workshop, and calculate the distance between the location of the work station that submits component demand information and the location of the warehouse based on the layout diagram of the transformer workshop; Retrieve the production evaluation value of the work station that submits each component demand information, normalize it with the submission duration and the distance, and take its numerical value. Analyze the numerical value to obtain a scheduling value, and thus obtain the scheduling value of each work station that submits component demand information.

3. The component scheduling system for a transformer production workshop according to claim 2, wherein The specific process of analyzing the distribution efficiency based on the historical distribution information of each distribution robot is as follows: Obtain the historical distribution information of each distribution robot, where the historical distribution information includes the number of distributions and the corresponding distribution distance, distribution duration, and distribution volume for each distribution. Then normalize this information and take its numerical value, and analyze the numerical value to obtain the distribution value for each distribution; Compare and analyze the distribution value with the set distribution interval to divide the number of distributions corresponding to the distribution value into high-efficiency distributions, medium-efficiency distributions, and low-efficiency distributions; separately count the cumulative number of high-efficiency distributions, medium-efficiency distributions, and low-efficiency distributions, and sum up the distribution values corresponding to high-efficiency distributions, medium-efficiency distributions, and low-efficiency distributions respectively to obtain the high-efficiency distribution value, medium-efficiency distribution value, and low-efficiency distribution value; Perform formula-based calculation and analysis on the cumulative number of high-efficiency distributions, the cumulative number of medium-efficiency distributions, the cumulative number of low-efficiency distributions, the high-efficiency distribution value, the medium-efficiency distribution value, and the low-efficiency distribution value to obtain the distribution efficiency evaluation value.

4. The component scheduling system for a transformer production workshop according to claim 3, characterized in that, The specific process of analyzing the degree and frequency of fault maintenance based on the fault maintenance information of each distribution robot is as follows: Obtain the fault maintenance information of each distribution robot, where the fault maintenance information includes the number of faults and the corresponding maintenance duration and maintenance time for each fault; Analysis of the degree of fault maintenance: Use time as the abscissa and maintenance duration as the ordinate to obtain a curve graph of the change of maintenance duration with time. Draw a tangent line at each maintenance point, use data fitting to obtain the tangent line expression, and perform a derivative operation on the tangent line expression to obtain the maintenance derivative; sum up the maintenance derivatives greater than zero to obtain the maintenance increase value, and sum up and take the absolute value of the maintenance derivatives less than zero to obtain the maintenance decrease value; Perform formula-based calculation and analysis on the maintenance duration, maintenance increase value, and maintenance decrease value to obtain the maintenance value; Analysis of the frequency of faults: Sort the number of fault maintenances in the order of the corresponding maintenance time, and calculate the interval duration between two adjacent maintenances; Use the number of fault maintenances as the abscissa and the interval duration as the abscissa to obtain a curve graph of the change of the interval duration; draw a tangent line at each interval point, use data fitting to obtain the tangent line expression, and perform a derivative operation on the tangent line expression to obtain the interval derivative; sum up the interval derivatives greater than zero to calculate the interval increase value, and sum up and take the absolute value of the interval derivatives to calculate the interval decrease value; Perform formula-based calculation and analysis on the interval duration, interval increase value, and interval decrease value to obtain the fault frequency value.

5. The component scheduling system for a transformer production workshop according to claim 1, wherein, The specific process of deeply analyzing the production status of each workstation in the transformer workshop based on production information is as follows: Retrieve the production information corresponding to each workstation at each acquisition time, where the production information includes the consumption quantity, output quantity, and qualification rate of various types of components; Set an important coefficient for each component corresponding to it in the composed transformer. Compare each component consumed by the workstation with all the set components to match the corresponding important coefficient, and multiply the important coefficient by the corresponding component consumption quantity to obtain the weighted consumption value. Thus, the weighted consumption values corresponding to various types of components can be obtained; Compare and analyze the re - consumption values of various components with the set re - consumption intervals to classify the components corresponding to the re - consumption values into highly important components, moderately important components, and low - importance components. Respectively count the quantities of highly important components, moderately important components, and low - importance components, and perform formula - based calculation and analysis on them and the re - consumption values corresponding to various components to obtain the key values of the components corresponding to each acquisition moment at the station; Retrieve the key values, output quantities, and qualification rates of the components corresponding to each acquisition moment at the station, and perform formula - based calculation and analysis on them to obtain the production index corresponding to each acquisition moment at the station; Use time as the abscissa and the production index as the ordinate to obtain a curve graph of the production value of the station changing with time; draw a tangent to the curve at each production point, use data fitting to obtain the tangent expression, and perform derivative calculation on the tangent expression to obtain the production derivative; sum up the production derivatives greater than zero to obtain the production acceleration value, and sum up and take the absolute value of the production derivatives less than zero to obtain the production deceleration value; Perform formula - based calculation and analysis on the production index, production derivative, production acceleration value, and production deceleration value corresponding to each acquisition moment to obtain the production evaluation value of the station; thus, the production evaluation values of each station can be obtained and sent to the intelligent scheduling module.

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