Transportation control method and system for full-automatic grenade production workshop

Abstract

The invention discloses a transportation control method and system for a full-automatic grenade production workshop. The method comprises the following steps: acquiring sensing information of a plurality of grenade production equipment in a workshop area which is executing a production task; analyzing at least one abnormal task link corresponding to the production task according to the sensing information and a preset analysis algorithm; driving AGV equipment to go to associated transportation equipment corresponding to the abnormal task link so as to obtain an equipment image of the associated transportation equipment; according to the equipment image and the sensing information, based on a preset data judgment rule, generating a transportation control instruction for the associated transportation equipment; the transportation control instruction is used for driving the associated equipment to carry out product transportation so as to solve the problem of the abnormal task link. Therefore, the abnormal task links of the grenade production workshop can be identified and corrected more efficiently and accurately, the stability and efficiency of grenade production are improved, and production errors or accidents are reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a transportation control method and system for a fully automated grenade production workshop. Background Art

[0002] Most traditional hand grenade production is usually done by semi-automatic production equipment or manual assembly by production personnel. This method is highly dangerous, labor-intensive, and inefficient. Therefore, some organizations have begun to use automated production workshops to perform hand grenade assembly and production tasks, and to achieve automated hand grenade production by equipping production equipment with multiple production links connected to each other by conveyor belts. However, the existing automated hand grenade production workshops still simply use preset transmission rules to control the transmission of products in terms of overall transportation control, and do not combine sensor information and more flexible AGV equipment to improve the stability and efficiency of the entire workshop's production. It can be seen that the existing technology has defects that need to be solved urgently. Summary of the invention

[0003] The technical problem to be solved by the present invention is to provide a transportation control method and system for a fully automated grenade production workshop, which can more efficiently and accurately identify and correct abnormal task links in the grenade production workshop, improve the stability and efficiency of grenade production, and reduce production errors or accidents.

[0004] In order to solve the above technical problems, the first aspect of the present invention discloses a transportation control method for a fully automated grenade production workshop, the method comprising: Acquire sensor information of multiple grenade production equipment in the workshop area where production tasks are being performed; Analyze at least one abnormal task link corresponding to the production task according to the sensor information and a preset analysis algorithm; Driving the AGV device to the associated transport device corresponding to the abnormal task link to obtain the device image of the associated transport device; According to the device image and the sensor information, based on preset data judgment rules, a transportation control instruction for the associated transportation equipment is generated; the transportation control instruction is used to drive the associated equipment to transport products to solve the problem of the abnormal task link.

[0005] As an optional embodiment, in the first aspect of the present invention, the grenade production equipment is material sorting equipment, bushing injection molding equipment, bushing pressing equipment, core rod pressing equipment, shell injection molding equipment, core stripping equipment, grenade assembly equipment, laser engraving equipment, hot air curing equipment, boxing equipment, packaging equipment or finished product inspection equipment.

[0006] As an optional embodiment, in the first aspect of the present invention, the sensing information includes at least two of image information, infrared reflection information, sound information, temperature information, humidity information, light information and pressure information.

[0007] As an optional implementation, in the first aspect of the present invention, analyzing at least one abnormal task link corresponding to the production task according to the sensor information and a preset analysis algorithm includes: For any task link corresponding to the production task, determine the sensor information of each grenade production device corresponding to the task link, and obtain multiple link sensor information; Inputting the sensor data of each data type of the sensor information of each link and the corresponding data acquisition time into the corresponding transport continuity prediction neural network to obtain the data continuity probability corresponding to the sensor data of each data type; the transport continuity prediction neural network is trained by a training data set including a plurality of corresponding data types of training sensor data of the corresponding grenade production equipment and data time annotations and corresponding continuity degree annotations; the data type is image information, infrared reflection information, sound information, temperature information, humidity information, light information or pressure information; Calculate the weighted sum average of the data coherence probabilities corresponding to the sensor data of all data types in the link sensor information corresponding to each grenade production device to obtain the coherence probability corresponding to the grenade production device; wherein the weighted calculation weight of each data coherence probability decreases in sequence when the data types are image information, infrared reflection information, sound information, pressure information, temperature information, humidity information or light information; Calculate the coherence parameter corresponding to the task link according to the coherence probability of all the grenade production equipment corresponding to the task link; All the task links whose continuity parameters are lower than a preset first parameter threshold value are screened out from all the task links to obtain at least one abnormal task link.

[0008] As an optional implementation, in the first aspect of the present invention, the calculating the coherence parameter corresponding to the task link according to the coherence probability of all the grenade production equipment corresponding to the task link includes: Calculate the average of the coherence probabilities of any two grenade production devices having a direct transmission connection relationship corresponding to the task link to obtain the corresponding continuous coherence probability; Calculating the weighted sum average of all the continuous coherence probabilities corresponding to the task link to obtain a first coherence parameter corresponding to the task link; wherein the weighted calculation weight corresponding to each continuous coherence probability is inversely proportional to the position distance between the corresponding two grenade production devices having a direct transmission connection relationship; Calculate the weighted sum average of the coherence probabilities of all the grenade production devices corresponding to the task link to obtain a second coherence parameter corresponding to the task link; wherein the weighted calculation weight corresponding to each coherence probability is proportional to the number of device connections corresponding to the corresponding grenade production device; the number of device connections is the total number of other grenade production devices that have a direct transmission connection relationship with the grenade production device; A weighted average of the first coherence parameter and the second coherence parameter is calculated to obtain a coherence parameter corresponding to the task link; wherein the weighted calculation weight of the first coherence parameter is greater than the weighted calculation weight of the second coherence parameter.

[0009] As an optional implementation, in the first aspect of the present invention, the associated transport equipment is a conveyor belt equipment or an AGV conveying equipment, and the equipment image includes an equipment loading area image of the associated transport equipment.

[0010] As an optional implementation, in the first aspect of the present invention, generating a transport control instruction for the associated transport equipment based on the equipment image and the sensor information and a preset data judgment rule includes: For each of the associated transport equipment, the equipment image corresponding to the associated transport equipment is input into the trained cargo abnormality prediction algorithm model to obtain the cargo abnormality corresponding to the equipment image; When the cargo abnormality is that the distance between cargoes is too small or the cargo moving speed is too slow, a transport acceleration control instruction is generated for the associated transport equipment; When there is cargo blockage in the abnormal cargo situation, a transport stop control instruction is generated for the associated transport equipment, and an alarm message for the associated transport equipment is sent to a corresponding terminal for display.

[0011] As an optional implementation, in the first aspect of the present invention, the generating of the transport acceleration control instruction for the associated transport equipment includes: Determine all grenade production equipment that is directly associated with the associated transportation equipment in the transportation task, and obtain multiple associated production equipment; Calculating an average value of the equipment positions of all the associated production equipment to obtain a position reference point; Calculate the weighted sum average of the coherence probabilities corresponding to all the associated production equipment to obtain the equipment coherence parameter corresponding to the associated transportation equipment; wherein the weighted calculation weight of each of the coherence probabilities is inversely proportional to the distance between the equipment position of the corresponding grenade production equipment and the position reference point; calculating a speed increase value inversely proportional to a coherence parameter of the device; A transport speed-up control instruction including the speed increase value is generated and sent to the associated transport equipment, so as to increase the transport speed of the associated transport equipment according to the speed increase value.

[0012] A second aspect of an embodiment of the present invention discloses a transportation control system for a fully automated grenade production workshop, the system comprising: An acquisition module, used to acquire sensor information of multiple grenade production equipment in a workshop area that is performing production tasks; An analysis module, used to analyze at least one abnormal task link corresponding to the production task according to the sensor information and a preset analysis algorithm; A driving module, used to drive the AGV device to the associated transport device corresponding to the abnormal task link to obtain a device image of the associated transport device; A generation module is used to generate a transportation control instruction for the associated transportation equipment according to the equipment image and the sensor information based on preset data judgment rules; the transportation control instruction is used to drive the associated equipment to transport products to solve the problem of the abnormal task link.

[0013] As an optional embodiment, in the second aspect of the present invention, the grenade production equipment is material sorting equipment, bushing injection molding equipment, bushing pressing equipment, core rod pressing equipment, shell injection molding equipment, core stripping equipment, grenade assembly equipment, laser engraving equipment, hot air curing equipment, boxing equipment, packaging equipment or finished product inspection equipment.

[0014] As an optional embodiment, in the second aspect of the present invention, the sensing information includes at least two of image information, infrared reflection information, sound information, temperature information, humidity information, light information and pressure information.

[0015] As an optional implementation, in the second aspect of the present invention, the analysis module analyzes the specific manner of at least one abnormal task link corresponding to the production task according to the sensor information and a preset analysis algorithm, including: For any task link corresponding to the production task, determine the sensor information of each grenade production device corresponding to the task link, and obtain multiple link sensor information; Inputting the sensor data of each data type of the sensor information of each link and the corresponding data acquisition time into the corresponding transport continuity prediction neural network to obtain the data continuity probability corresponding to the sensor data of each data type; the transport continuity prediction neural network is trained by a training data set including a plurality of corresponding data types of training sensor data of the corresponding grenade production equipment and data time annotations and corresponding continuity degree annotations; the data type is image information, infrared reflection information, sound information, temperature information, humidity information, light information or pressure information; Calculate the weighted sum average of the data coherence probabilities corresponding to the sensor data of all data types in the link sensor information corresponding to each grenade production device to obtain the coherence probability corresponding to the grenade production device; wherein the weighted calculation weight of each data coherence probability decreases in sequence when the data types are image information, infrared reflection information, sound information, pressure information, temperature information, humidity information or light information; Calculate the coherence parameter corresponding to the task link according to the coherence probability of all the grenade production equipment corresponding to the task link; All the task links whose continuity parameters are lower than a preset first parameter threshold value are screened out from all the task links to obtain at least one abnormal task link.

[0016] As an optional implementation, in the second aspect of the present invention, the specific manner in which the analysis module calculates the coherence parameter corresponding to the task link according to the coherence probability of all the grenade production equipment corresponding to the task link includes: Calculate the average of the coherence probabilities of any two grenade production devices having a direct transmission connection relationship corresponding to the task link to obtain the corresponding continuous coherence probability; Calculating the weighted sum average of all the continuous coherence probabilities corresponding to the task link to obtain a first coherence parameter corresponding to the task link; wherein the weighted calculation weight corresponding to each continuous coherence probability is inversely proportional to the position distance between the corresponding two grenade production devices having a direct transmission connection relationship; Calculate the weighted sum average of the coherence probabilities of all the grenade production devices corresponding to the task link to obtain a second coherence parameter corresponding to the task link; wherein the weighted calculation weight corresponding to each coherence probability is proportional to the number of device connections corresponding to the corresponding grenade production device; the number of device connections is the total number of other grenade production devices that have a direct transmission connection relationship with the grenade production device; A weighted average of the first coherence parameter and the second coherence parameter is calculated to obtain a coherence parameter corresponding to the task link; wherein the weighted calculation weight of the first coherence parameter is greater than the weighted calculation weight of the second coherence parameter.

[0017] As an optional implementation, in the second aspect of the present invention, the associated transport equipment is a conveyor belt equipment or an AGV conveying equipment, and the equipment image includes an equipment loading area image of the associated transport equipment.

[0018] As an optional implementation, in the second aspect of the present invention, the specific manner in which the generation module generates the transportation control instruction for the associated transportation equipment based on the equipment image and the sensor information and a preset data judgment rule includes: For each of the associated transport equipment, the equipment image corresponding to the associated transport equipment is input into the trained cargo abnormality prediction algorithm model to obtain the cargo abnormality corresponding to the equipment image; When the cargo abnormality is that the distance between cargoes is too small or the cargo moving speed is too slow, a transport acceleration control instruction is generated for the associated transport equipment; When there is cargo blockage in the abnormal cargo situation, a transport stop control instruction is generated for the associated transport equipment, and an alarm message for the associated transport equipment is sent to a corresponding terminal for display.

[0019] As an optional implementation, in the second aspect of the present invention, the specific manner in which the generation module generates the transport acceleration control instruction for the associated transport equipment includes: Determine all grenade production equipment that is directly associated with the associated transportation equipment in the transportation task, and obtain multiple associated production equipment; Calculating an average value of the equipment positions of all the associated production equipment to obtain a position reference point; Calculate the weighted sum average of the coherence probabilities corresponding to all the associated production equipment to obtain the equipment coherence parameter corresponding to the associated transportation equipment; wherein the weighted calculation weight of each of the coherence probabilities is inversely proportional to the distance between the equipment position of the corresponding grenade production equipment and the position reference point; calculating a speed increase value inversely proportional to a coherence parameter of the device; A transport speed-up control instruction including the speed increase value is generated and sent to the associated transport equipment, so as to increase the transport speed of the associated transport equipment according to the speed increase value.

[0020] The third aspect of the present invention discloses another transportation control system for a fully automated grenade production workshop, the system comprising: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute part or all of the steps in the transportation control method for a fully automated grenade production workshop disclosed in the first aspect of the present invention.

[0021] The fourth aspect of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute part or all of the steps in the transportation control method of the fully automated grenade production workshop disclosed in the first aspect of the present invention.

[0022] Compared with the prior art, the embodiments of the present invention have the following beneficial effects: The present invention can analyze at least one abnormal task link based on the sensor information of multiple grenade production equipment in the workshop area that is executing the production task, and then drive the AGV equipment to obtain the equipment image of the associated transportation equipment corresponding to the abnormal task link, so as to comprehensively determine the transportation control instructions of the associated transportation equipment to solve the task abnormality, thereby being able to more efficiently and accurately identify and correct the abnormal task links in the grenade production workshop, improve the stability and efficiency of grenade production, and reduce production errors or accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0024] Figure 1 It is a flow chart of a transportation control method for a fully automated grenade production workshop disclosed in an embodiment of the present invention.

[0025] Figure 2 It is a structural schematic diagram of a transportation control system of a fully automated grenade production workshop disclosed in an embodiment of the present invention.

[0026] Figure 3 It is a structural schematic diagram of another transportation control system of a fully automated grenade production workshop disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0027] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0028] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, device, product or equipment that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units that are inherent to these processes, methods, products or equipment.

[0029] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0030] The present invention discloses a transportation control method and system for a fully automated hand grenade production workshop, which can analyze at least one abnormal task link based on the sensor information of multiple hand grenade production equipment in the workshop area that is performing production tasks, and then drive the AGV equipment to obtain the equipment image of the associated transportation equipment corresponding to the abnormal task link, so as to comprehensively determine the transportation control instructions of the associated transportation equipment to solve the task abnormality, thereby being able to more efficiently and accurately identify and correct the abnormal task links of the hand grenade production workshop, improve the stability and efficiency of hand grenade production, and reduce production errors or accidents. The following are detailed descriptions.

[0031] Embodiment 1 See also Figure 1 , Figure 1 This is a flow chart of a transportation control method for a fully automated grenade production workshop disclosed in an embodiment of the present invention. Figure 1 The transportation control method of the fully automated grenade production workshop described can be applied to a data processing system / data processing device / data processing server (wherein the server includes a local processing server or a cloud processing server). Figure 1As shown, the transportation control method of the fully automated grenade production workshop may include the following operations: 101. Obtain sensor information of multiple grenade production equipment in the workshop area where production tasks are being performed.

[0032] 102. Analyze at least one abnormal task link corresponding to the production task based on the sensor information and a preset analysis algorithm. 103. Drive the AGV device to the associated transport device corresponding to the abnormal task link to obtain the device image of the associated transport device. 104. Generate transportation control instructions for related transportation equipment based on equipment images and sensor information and preset data judgment rules.

[0033] Optionally, the transport control instruction is used to drive associated equipment to transport products to solve problems in abnormal task links.

[0034] Specifically, for the specific equipment settings of the fully automated grenade production workshop described in the present invention, reference can be made to the solutions disclosed in the invention patent with application number CN202010450809.X and the invention patent with application number CN202010451591.X, which respectively disclose the setting ideas of the production equipment for the automatic grenade assembly line and the automatic injection molding assembly production line for grenade shells and the automation realization ideas. The transportation control scheme of the production workshop described in the present invention can also be applied to the control of these two production lines. In a specific implementation scheme, it is possible to combine the solutions in these two patents to jointly realize a more fully automated grenade production workshop, and apply the solution in the present invention. It should be noted that the solution in the present invention can also be applied to workshops including grenade production lines of other types and functions, and the solutions in the two reference patents should not be regarded as limiting the scope of protection of the present invention.

[0035] It can be seen that the above-mentioned embodiment of the invention can analyze at least one abnormal task link based on the sensor information of multiple grenade production equipment in the workshop area that is executing the production task, and then drive the AGV equipment to obtain the equipment image of the associated transportation equipment corresponding to the abnormal task link, so as to comprehensively determine the transportation control instructions of the associated transportation equipment to solve the task abnormality, thereby being able to more efficiently and accurately identify and correct the abnormal task links in the grenade production workshop, improve the stability and efficiency of grenade production, and reduce production errors or accidents.

[0036] As an optional embodiment, in the above steps, the grenade production equipment is material sorting equipment, bushing injection molding equipment, bushing pressing equipment, core rod pressing equipment, shell injection molding equipment, core stripping equipment, grenade assembly equipment, laser engraving equipment, hot air curing equipment, boxing equipment, packaging equipment or finished product inspection equipment.

[0037] It can be seen that through the above-mentioned optional embodiments, the type of grenade production equipment is limited, which can fully characterize the characteristics of the grenade production equipment, and is subsequently used to accurately analyze abnormal task links, assisting in more efficient and accurate identification and correction of abnormal task links in the grenade production workshop, thereby improving the stability and efficiency of grenade production and reducing production errors or accidents.

[0038] As an optional embodiment, in the above steps, the sensing information includes at least two of image information, infrared reflection information, sound information, temperature information, humidity information, light information and pressure information.

[0039] It can be seen that through the above optional embodiments, the type of sensor information is limited, which can fully characterize the working condition of the grenade production equipment, and is subsequently used to accurately analyze abnormal task links, assisting in more efficient and accurate identification and correction of abnormal task links in the grenade production workshop, thereby improving the stability and efficiency of grenade production and reducing production errors or accidents.

[0040] As an optional embodiment, in the above steps, analyzing at least one abnormal task link corresponding to the production task according to the sensor information and a preset analysis algorithm includes: For any task link corresponding to the production task, the sensor information of each grenade production device corresponding to the task link is determined to obtain sensor information of multiple links; Input the sensor data of each data type of sensor information of each link and the corresponding data acquisition time into the corresponding transport continuity prediction neural network to obtain the data continuity probability corresponding to the sensor data of each data type; optionally, the transport continuity prediction neural network is trained by a training data set including a plurality of corresponding data types of training sensor data of corresponding grenade production equipment and data time annotations and corresponding continuity degree annotations; the data type is image information, infrared reflection information, sound information, temperature information, humidity information, light information or pressure information; Calculate the weighted sum average of the data coherence probabilities corresponding to the sensor data of all data types in the link sensor information corresponding to each grenade production device to obtain the coherence probability corresponding to the grenade production device; optionally, the weighted calculation group of each data coherence probability is reduced in sequence when the data types are image information, infrared reflection information, sound information, pressure information, temperature information, humidity information or light information; Calculate the coherence parameter corresponding to the task link according to the coherence probability of all grenade production equipment corresponding to the task link; All task links whose continuity parameters are lower than a preset first parameter threshold value in all task links are screened out to obtain at least one abnormal task link.

[0041] It can be seen that through the above-mentioned optional embodiments, the probability of working continuity of each device can be predicted based on the neural network algorithm combined with the sensor information and the acquisition time to characterize the degree of normal and orderly operation of the equipment, and based on this, the continuity parameters of the task links can be calculated to screen and determine the abnormal task links, so as to assist in more efficient and accurate identification and correction of abnormal task links in the grenade production workshop, improve the stability and efficiency of grenade production, and reduce production errors or accidents.

[0042] As an optional embodiment, in the above steps, calculating the coherence parameter corresponding to the task link according to the coherence probability of all grenade production equipment corresponding to the task link includes: Calculate the average of the coherence probabilities of any two grenade production devices with a direct transmission connection relationship corresponding to the task link to obtain the corresponding continuous coherence probability; Calculate the weighted sum average of all continuous coherence probabilities corresponding to the task link to obtain a first coherence parameter corresponding to the task link; optionally, the weighted calculation weight corresponding to each continuous coherence probability is inversely proportional to the position distance between the corresponding two grenade production devices having a direct transmission connection relationship; Calculate the weighted sum average of the coherence probabilities of all grenade production devices corresponding to the task link to obtain a second coherence parameter corresponding to the task link; optionally, the weighted calculation weight corresponding to each coherence probability is proportional to the number of device connections corresponding to the corresponding grenade production device; the number of device connections is the total number of other grenade production devices that have a direct transmission connection relationship with the grenade production device; A weighted average of the first coherence parameter and the second coherence parameter is calculated to obtain a coherence parameter corresponding to the task link; wherein the weight of the weighted calculation of the first coherence parameter is greater than the weighted calculation weight of the second coherence parameter.

[0043] It can be seen that through the above-mentioned optional embodiments, the coherence parameters corresponding to the task link can be accurately determined by calculating the coherence probability of the directly connected production equipment corresponding to the task link, so as to characterize the overall normality and orderliness of the production of the task link, and assist in more efficient and accurate identification and correction of abnormal task links in the grenade production workshop, thereby improving the stability and efficiency of grenade production and reducing production errors or accidents.

[0044] As an optional embodiment, in the above steps, the associated transport equipment is a conveyor belt equipment or an AGV conveying equipment, and the equipment image includes an equipment loading area image of the associated transport equipment.

[0045] It can be seen that through the above-mentioned optional embodiments, the type of associated transport equipment and the content of the equipment image are limited to accurately characterize the cargo area situation of the associated transport equipment, facilitate subsequent abnormal judgment and command control of the transport equipment, and assist in more efficient and accurate identification and correction of abnormal task links in the grenade production workshop, thereby improving the stability and efficiency of grenade production and reducing production errors or accidents.

[0046] As an optional embodiment, in the above steps, generating a transport control instruction for the associated transport equipment according to the equipment image and sensor information based on a preset data judgment rule includes: For each associated transport device, the device image corresponding to the associated transport device is input into the trained cargo abnormality prediction algorithm model to obtain the cargo abnormality corresponding to the device image; When there is an abnormal situation of cargo, such as the cargo spacing is too small or the cargo moving speed is too slow, a transportation acceleration control instruction for the associated transportation equipment is generated; When there is a cargo blockage due to an abnormal cargo situation, a transport stop control instruction is generated for the associated transport equipment, and an alarm message for the associated transport equipment is sent to the corresponding terminal for display.

[0047] It can be seen that through the above-mentioned optional embodiments, it is possible to identify cargo anomalies in equipment images through the trained cargo anomaly prediction algorithm model, and control the transportation equipment to accelerate when the cargo transportation is too slow, resulting in discontinuity and abnormalities in the production task links, or directly stop the transportation when the cargo is blocked and notify relevant personnel to intervene, so as to achieve more efficient and accurate identification and correction of abnormal task links in the grenade production workshop, improve the stability and efficiency of grenade production, and reduce production errors or accidents.

[0048] As an optional embodiment, in the above step, generating a transport acceleration control instruction for the associated transport equipment includes: Determine all grenade production equipment that is directly associated with the associated transportation equipment in the transportation task, and obtain multiple associated production equipment; Calculate the average value of the equipment positions of all associated production equipment to obtain the position reference point; Calculate the weighted sum average of the coherence probabilities corresponding to all associated production equipment to obtain the equipment coherence parameter corresponding to the associated transportation equipment; optionally, the weight of each coherence probability is inversely proportional to the distance between the equipment position of the corresponding grenade production equipment and the position reference point; Calculate the speed increase value inversely proportional to the device coherence parameter; A transport speed-up control instruction including a speed-increasing value is generated and sent to the associated transport equipment, so as to increase the transport speed of the associated transport equipment according to the speed-increasing value.

[0049] It can be seen that through the above-mentioned optional embodiments, it is possible to determine the degree of equipment continuity near the associated transport equipment by performing a weighted calculation on the continuity probability of the grenade production equipment associated with the transport task of the associated transport equipment, and thereby determine the degree to which the speed needs to be increased, so as to accurately adjust the transport speed of the transport equipment, thereby achieving more efficient and accurate identification and correction of abnormal task links in the grenade production workshop, improving the stability and efficiency of grenade production, and reducing production errors or accidents.

[0050] Embodiment 2 See also Figure 2 , Figure 2 This is a schematic diagram of the structure of a transportation control system for a fully automated grenade production workshop disclosed in an embodiment of the present invention. Figure 2 The transportation control system of the fully automated grenade production workshop described can be applied to a data processing system / data processing device / data processing server (wherein the server includes a local processing server or a cloud processing server). Figure 2 As shown, the transportation control system of the fully automated grenade production workshop may include: The acquisition module 201 is used to acquire sensor information of multiple grenade production equipment in the workshop area that is executing the production task.

[0051] The analysis module 202 is used to analyze at least one abnormal task link corresponding to the production task according to the sensor information and a preset analysis algorithm. The driving module 203 is used to drive the AGV device to the associated transportation device corresponding to the abnormal task link to obtain the device image of the associated transportation device. The generation module 204 is used to generate a transport control instruction for the associated transport equipment according to the equipment image and sensor information and based on preset data judgment rules.

[0052] Optionally, the transport control instruction is used to drive associated equipment to transport products to solve problems in abnormal task links.

[0053] It can be seen that the above-mentioned embodiment of the invention can analyze at least one abnormal task link based on the sensor information of multiple grenade production equipment in the workshop area that is executing the production task, and then drive the AGV equipment to obtain the equipment image of the associated transportation equipment corresponding to the abnormal task link, so as to comprehensively determine the transportation control instructions of the associated transportation equipment to solve the task abnormality, thereby being able to more efficiently and accurately identify and correct the abnormal task links in the grenade production workshop, improve the stability and efficiency of grenade production, and reduce production errors or accidents.

[0054] As an optional embodiment, the grenade production equipment is material sorting equipment, bushing injection molding equipment, bushing pressing equipment, core rod pressing equipment, shell injection molding equipment, core stripping equipment, grenade assembly equipment, laser engraving equipment, hot air curing equipment, boxing equipment, packaging equipment or finished product testing equipment.

[0055] It can be seen that through the above-mentioned optional embodiments, the type of grenade production equipment is limited, which can fully characterize the characteristics of the grenade production equipment, and is subsequently used to accurately analyze abnormal task links, assisting in more efficient and accurate identification and correction of abnormal task links in the grenade production workshop, thereby improving the stability and efficiency of grenade production and reducing production errors or accidents.

[0056] As an optional embodiment, the sensing information includes at least two of image information, infrared reflection information, sound information, temperature information, humidity information, light information and pressure information.

[0057] It can be seen that through the above optional embodiments, the type of sensor information is limited, which can fully characterize the working condition of the grenade production equipment, and is subsequently used to accurately analyze abnormal task links, assisting in more efficient and accurate identification and correction of abnormal task links in the grenade production workshop, thereby improving the stability and efficiency of grenade production and reducing production errors or accidents.

[0058] As an optional embodiment, the analysis module analyzes the specific manner of at least one abnormal task link corresponding to the production task according to the sensor information and the preset analysis algorithm, including: For any task link corresponding to the production task, the sensor information of each grenade production device corresponding to the task link is determined to obtain sensor information of multiple links; Input the sensor data of each data type of sensor information of each link and the corresponding data acquisition time into the corresponding transport continuity prediction neural network to obtain the data continuity probability corresponding to the sensor data of each data type; optionally, the transport continuity prediction neural network is trained by a training data set including a plurality of corresponding data types of training sensor data of corresponding grenade production equipment and data time annotations and corresponding continuity degree annotations; the data type is image information, infrared reflection information, sound information, temperature information, humidity information, light information or pressure information; Calculate the weighted sum average of the data coherence probabilities corresponding to the sensor data of all data types in the link sensor information corresponding to each grenade production device to obtain the coherence probability corresponding to the grenade production device; optionally, the weighted calculation group of each data coherence probability is reduced in sequence when the data types are image information, infrared reflection information, sound information, pressure information, temperature information, humidity information or light information; Calculate the coherence parameter corresponding to the task link according to the coherence probability of all grenade production equipment corresponding to the task link; All task links whose continuity parameters are lower than a preset first parameter threshold value in all task links are screened out to obtain at least one abnormal task link.

[0059] It can be seen that through the above-mentioned optional embodiments, the probability of working continuity of each device can be predicted based on the neural network algorithm combined with the sensor information and the acquisition time to characterize the degree of normal and orderly operation of the equipment, and based on this, the continuity parameters of the task links can be calculated to screen and determine the abnormal task links, so as to assist in more efficient and accurate identification and correction of abnormal task links in the grenade production workshop, improve the stability and efficiency of grenade production, and reduce production errors or accidents.

[0060] As an optional embodiment, the specific manner in which the analysis module calculates the coherence parameter corresponding to the task link according to the coherence probability of all grenade production equipment corresponding to the task link includes: Calculate the average of the coherence probabilities of any two grenade production devices with a direct transmission connection relationship corresponding to the task link to obtain the corresponding continuous coherence probability; Calculate the weighted sum average of all continuous coherence probabilities corresponding to the task link to obtain a first coherence parameter corresponding to the task link; optionally, the weighted calculation weight corresponding to each continuous coherence probability is inversely proportional to the position distance between the corresponding two grenade production devices having a direct transmission connection relationship; Calculate the weighted sum average of the coherence probabilities of all grenade production devices corresponding to the task link to obtain a second coherence parameter corresponding to the task link; optionally, the weighted calculation weight corresponding to each coherence probability is proportional to the number of device connections corresponding to the corresponding grenade production device; the number of device connections is the total number of other grenade production devices that have a direct transmission connection relationship with the grenade production device; A weighted average of the first coherence parameter and the second coherence parameter is calculated to obtain a coherence parameter corresponding to the task link; wherein the weight of the weighted calculation of the first coherence parameter is greater than the weighted calculation weight of the second coherence parameter.

[0061] It can be seen that through the above-mentioned optional embodiments, the coherence parameters corresponding to the task link can be accurately determined by calculating the coherence probability of the directly connected production equipment corresponding to the task link, so as to characterize the overall normality and orderliness of the production of the task link, and assist in more efficient and accurate identification and correction of abnormal task links in the grenade production workshop, thereby improving the stability and efficiency of grenade production and reducing production errors or accidents.

[0062] As an optional embodiment, the associated transport equipment is a conveyor belt equipment or an AGV conveying equipment, and the equipment image includes an equipment loading area image of the associated transport equipment.

[0063] It can be seen that through the above-mentioned optional embodiments, the type of associated transport equipment and the content of the equipment image are limited to accurately characterize the cargo area situation of the associated transport equipment, facilitate subsequent abnormal judgment and command control of the transport equipment, and assist in more efficient and accurate identification and correction of abnormal task links in the grenade production workshop, thereby improving the stability and efficiency of grenade production and reducing production errors or accidents.

[0064] As an optional embodiment, the generation module generates a specific method of the transport control instruction for the associated transport equipment according to the equipment image and sensor information and based on the preset data judgment rule, including: For each associated transport device, the device image corresponding to the associated transport device is input into the trained cargo abnormality prediction algorithm model to obtain the cargo abnormality corresponding to the device image; When there is an abnormal situation of cargo, such as the cargo spacing is too small or the cargo moving speed is too slow, a transportation acceleration control instruction for the associated transportation equipment is generated; When there is a cargo blockage due to an abnormal cargo situation, a transport stop control instruction is generated for the associated transport equipment, and an alarm message for the associated transport equipment is sent to the corresponding terminal for display.

[0065] It can be seen that through the above-mentioned optional embodiments, it is possible to identify cargo anomalies in equipment images through the trained cargo anomaly prediction algorithm model, and control the transportation equipment to accelerate when the cargo transportation is too slow, resulting in discontinuity and abnormalities in the production task links, or directly stop the transportation when the cargo is blocked and notify relevant personnel to intervene, so as to achieve more efficient and accurate identification and correction of abnormal task links in the grenade production workshop, improve the stability and efficiency of grenade production, and reduce production errors or accidents.

[0066] As an optional embodiment, the specific manner in which the generation module generates the transport acceleration control instruction for the associated transport equipment includes: Determine all grenade production equipment that is directly associated with the associated transportation equipment in the transportation task, and obtain multiple associated production equipment; Calculate the average value of the equipment positions of all associated production equipment to obtain the position reference point; Calculate the weighted sum average of the coherence probabilities corresponding to all associated production equipment to obtain the equipment coherence parameter corresponding to the associated transportation equipment; optionally, the weight of each coherence probability is inversely proportional to the distance between the equipment position of the corresponding grenade production equipment and the position reference point; Calculate the speed increase value inversely proportional to the device coherence parameter; A transport speed-up control instruction including a speed-increasing value is generated and sent to the associated transport equipment, so as to increase the transport speed of the associated transport equipment according to the speed-increasing value.

[0067] It can be seen that through the above-mentioned optional embodiments, it is possible to determine the degree of equipment continuity near the associated transport equipment by performing a weighted calculation on the continuity probability of the grenade production equipment associated with the transport task of the associated transport equipment, and thereby determine the degree to which the speed needs to be increased, so as to accurately adjust the transport speed of the transport equipment, thereby achieving more efficient and accurate identification and correction of abnormal task links in the grenade production workshop, improving the stability and efficiency of grenade production, and reducing production errors or accidents.

[0068] Embodiment 3 See also Figure 3 , Figure 3 It is another transportation control system of a fully automated grenade production workshop disclosed in an embodiment of the present invention. Figure 3 The transportation control system of the fully automated grenade production workshop described is applied to a data processing system / data processing equipment / data processing server (wherein the server includes a local processing server or a cloud processing server). Figure 3 As shown, the transportation control system of the fully automated grenade production workshop may include: A memory 301 storing executable program codes; a processor 302 coupled to the memory 301; The processor 302 calls the executable program code stored in the memory 301 to execute the steps of the transportation control method for the fully automated grenade production workshop described in the first embodiment.

[0069] Embodiment 4 An embodiment of the present invention discloses a computer-readable storage medium storing a computer program for electronic data exchange, wherein the computer program enables a computer to execute the steps of the transportation control method for a fully automated grenade production workshop described in the first embodiment.

[0070] Embodiment 5 An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable a computer to execute the steps of the transportation control method for a fully automated grenade production workshop described in Example 1.

[0071] The above describes specific embodiments of the present specification, and other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily have to be performed in the specific order or sequential order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0072] The systems, devices, modules or units described in the above embodiments may be implemented by computer chips or entities, or by products with certain functions. A typical implementation device is a computer. Specifically, the computer may be, for example, a personal computer, a laptop computer, a cellular phone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

[0073] For the convenience of description, the above device is described in various units according to their functions. Of course, when implementing this specification, the functions of each unit can be implemented in the same or multiple software and / or hardware.

[0074] Those skilled in the art will appreciate that the embodiments of this specification may be provided as methods, systems, or computer program products. Therefore, the embodiments of this specification may be in the form of complete hardware embodiments, complete software embodiments, or embodiments in combination with software and hardware. Moreover, the embodiments of this specification may be in the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0075] This specification is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of this specification. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0076] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0077] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0078] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0079] The memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0080] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0081] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0082] This specification may be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. This specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules may be located in local and remote computer storage media, including storage devices.

[0083] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0084] Finally, it should be noted that the transportation control method and system for a fully automated grenade production workshop disclosed in the embodiment of the present invention only discloses a preferred embodiment of the present invention, which is only used to illustrate the technical solution of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, it should be understood by those skilled in the art that the technical solutions described in the aforementioned embodiments can still be modified, or some of the technical features therein can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A transportation control method for a fully automated grenade production workshop, characterized in that: The method comprises: Acquire sensor information of multiple grenade production equipment in the workshop area where production tasks are being performed; Analyze at least one abnormal task link corresponding to the production task according to the sensor information and a preset analysis algorithm; Driving the AGV device to the associated transport device corresponding to the abnormal task link to obtain the device image of the associated transport device; According to the device image and the sensor information, based on preset data judgment rules, a transportation control instruction for the associated transportation equipment is generated; the transportation control instruction is used to drive the associated equipment to transport products to solve the problem of the abnormal task link.

2. The transportation control method of a fully automated grenade production workshop according to claim 1 is characterized in that: The grenade production equipment is material sorting equipment, bushing injection molding equipment, bushing pressing equipment, core rod pressing equipment, shell injection molding equipment, core stripping equipment, grenade assembly equipment, laser engraving equipment, hot air curing equipment, boxing equipment, packaging equipment or finished product testing equipment.

3. The transportation control method of a fully automated grenade production workshop according to claim 1 is characterized in that: The sensing information includes at least two of image information, infrared reflection information, sound information, temperature information, humidity information, light information and pressure information.

4. The transportation control method of the fully automated grenade production workshop according to claim 3 is characterized in that: Analyzing at least one abnormal task link corresponding to the production task according to the sensor information and a preset analysis algorithm includes: For any task link corresponding to the production task, determine the sensor information of each grenade production device corresponding to the task link, and obtain multiple link sensor information; Inputting the sensor data of each data type of the sensor information of each link and the corresponding data acquisition time into the corresponding transport continuity prediction neural network to obtain the data continuity probability corresponding to the sensor data of each data type; the transport continuity prediction neural network is trained by a training data set including a plurality of corresponding data types of training sensor data of the corresponding grenade production equipment and data time annotations and corresponding continuity degree annotations; the data type is image information, infrared reflection information, sound information, temperature information, humidity information, light information or pressure information; Calculate the weighted sum average of the data coherence probabilities corresponding to the sensor data of all data types in the link sensor information corresponding to each grenade production device to obtain the coherence probability corresponding to the grenade production device; wherein the weighted calculation weight of each data coherence probability decreases in sequence when the data types are image information, infrared reflection information, sound information, pressure information, temperature information, humidity information or light information; Calculate the coherence parameter corresponding to the task link according to the coherence probability of all the grenade production equipment corresponding to the task link; All the task links whose continuity parameters are lower than a preset first parameter threshold value are screened out from all the task links to obtain at least one abnormal task link.

5. The transportation control method of a fully automated grenade production workshop according to claim 4 is characterized in that: The calculating the coherence parameter corresponding to the task link according to the coherence probability of all the grenade production equipment corresponding to the task link includes: Calculate the average of the coherence probabilities of any two grenade production devices having a direct transmission connection relationship corresponding to the task link to obtain the corresponding continuous coherence probability; Calculating the weighted sum average of all the continuous coherence probabilities corresponding to the task link to obtain a first coherence parameter corresponding to the task link; wherein the weighted calculation weight corresponding to each continuous coherence probability is inversely proportional to the position distance between the corresponding two grenade production devices having a direct transmission connection relationship; Calculate the weighted sum average of the coherence probabilities of all the grenade production devices corresponding to the task link to obtain a second coherence parameter corresponding to the task link; wherein the weighted calculation weight corresponding to each coherence probability is proportional to the number of device connections corresponding to the corresponding grenade production device; the number of device connections is the total number of other grenade production devices that have a direct transmission connection relationship with the grenade production device; A weighted average of the first coherence parameter and the second coherence parameter is calculated to obtain a coherence parameter corresponding to the task link; wherein the weighted calculation weight of the first coherence parameter is greater than the weighted calculation weight of the second coherence parameter.

6. The transportation control method of a fully automated grenade production workshop according to claim 4 is characterized in that: The associated transport equipment is a conveyor belt equipment or an AGV conveying equipment, and the equipment image includes an equipment loading area image of the associated transport equipment.

7. The transportation control method of a fully automated grenade production workshop according to claim 6 is characterized in that: The generating of the transport control instruction for the associated transport equipment according to the equipment image and the sensor information and based on a preset data judgment rule comprises: For each of the associated transport equipment, the equipment image corresponding to the associated transport equipment is input into the trained cargo abnormality prediction algorithm model to obtain the cargo abnormality corresponding to the equipment image; When the cargo abnormality is that the distance between cargoes is too small or the cargo moving speed is too slow, a transport acceleration control instruction is generated for the associated transport equipment; When there is cargo blockage in the abnormal cargo situation, a transport stop control instruction is generated for the associated transport equipment, and an alarm message for the associated transport equipment is sent to a corresponding terminal for display.

8. The transportation control method of a fully automated grenade production workshop according to claim 7 is characterized in that: The generating of the transport acceleration control instruction for the associated transport equipment comprises: Determine all grenade production equipment that is directly associated with the associated transportation equipment in the transportation task, and obtain multiple associated production equipment; Calculating an average value of the equipment positions of all the associated production equipment to obtain a position reference point; Calculate the weighted sum average of the coherence probabilities corresponding to all the associated production equipment to obtain the equipment coherence parameter corresponding to the associated transportation equipment; wherein the weighted calculation weight of each of the coherence probabilities is inversely proportional to the distance between the equipment position of the corresponding grenade production equipment and the position reference point; calculating a speed increase value inversely proportional to a coherence parameter of the device; A transport speed-up control instruction including the speed increase value is generated and sent to the associated transport equipment, so as to increase the transport speed of the associated transport equipment according to the speed increase value.

9. A transportation control system for a fully automated grenade production workshop, characterized in that: The system comprises: An acquisition module, used to acquire sensor information of multiple grenade production equipment in a workshop area that is performing production tasks; An analysis module, used to analyze at least one abnormal task link corresponding to the production task according to the sensor information and a preset analysis algorithm; A driving module, used to drive the AGV device to the associated transport device corresponding to the abnormal task link to obtain a device image of the associated transport device; A generation module is used to generate a transportation control instruction for the associated transportation equipment according to the equipment image and the sensor information based on preset data judgment rules; the transportation control instruction is used to drive the associated equipment to transport products to solve the problem of the abnormal task link.

10. A transportation control system for a fully automated grenade production workshop, characterized in that: The system comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the transportation control method for a fully automated grenade production workshop as described in any one of claims 1-8.

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