Informatization management system of intelligent factory

Abstract

The invention discloses an informatization management system of an intelligent factory. The informatization management system comprises a factory information acquisition module, a production image acquisition module, a road information acquisition module, a production condition acquisition module, an automatic transportation equipment acquisition module, a data processing module and an information sending module, the factory information acquisition module is used for acquiring factory information; the production image acquisition module is used for acquiring image information in a factory; the road information acquisition module is used for acquiring road information in a factory; the production condition acquisition module is used for acquiring production condition information; the automatic transportation equipment acquisition module is used for acquiring automatic transportation equipment information; the data processing module is used for processing the factory information and generating factory management information; and processing the image information in the factory to generate abnormal management information. According to the invention, more comprehensive and intelligent factory informatization management can be carried out.

Description

Technical Field

[0001] The present invention relates to the field of management systems, and in particular to an information management system for an intelligent factory. Background Art

[0002] With the development of manufacturing industry, intelligent transformation of factories has become a trend. The traditional factory management model has exposed many limitations in the face of increasingly complex production processes, diversified equipment and a large number of personnel.

[0003] In modern smart factories, the production process is highly automated and information-based, involving a large number of equipment, personnel, and complex production processes. For example, there are various types of automatic transportation equipment in the factory, responsible for the transportation of raw materials and finished products; operators on the production line need to operate according to standard actions to ensure product quality; factory environmental factors, such as temperature, humidity, and dust concentration, will affect the production process and product quality; at the same time, the activity routes of personnel in the factory also need to be reasonably regulated to ensure production safety and efficiency.

[0004] The existing factory information management system has problems such as inaccurate personnel management and unreasonable transportation planning and equipment scheduling. Therefore, an information management system for a smart factory is proposed. Summary of the invention

[0005] The technical problem to be solved by the present invention is: how to solve the problems of inaccurate personnel management, unreasonable transportation planning and equipment scheduling in the existing factory information management system, and provide an information management system for a smart factory.

[0006] The present invention solves the above technical problems through the following technical solutions, which include a factory information acquisition module, a production image acquisition module, a road information acquisition module, a production status acquisition module, an automatic transport equipment acquisition module, a data processing module and an information sending module;

[0007] The factory information collection module is used to collect factory information;

[0008] The production image acquisition module is used to collect image information in the factory;

[0009] The road information collection module is used to collect road information within the factory;

[0010] The production status collection module is used to collect production status information;

[0011] The automatic transport equipment acquisition module is used to collect automatic transport equipment information;

[0012] The data processing module is used to process the factory information and generate factory management information;

[0013] Process the image information in the factory and generate abnormal management information;

[0014] Processing production status information, factory road information, automatic transportation equipment information and factory image information to generate transportation management information;

[0015] Processing and generating automatic transport equipment information to generate transport equipment management information;

[0016] The information sending module is used to send the factory management information, abnormal management information, transportation management information and transportation equipment management information to a preset receiving terminal after the above information is generated.

[0017] Furthermore, the specific process of obtaining the factory management information is as follows:

[0018] Extract the collected factory information, including factory entry personnel information, factory environment information and factory personnel route information;

[0019] Process the information of people entering the factory and obtain the personnel determination parameters;

[0020] Process the environmental information in the factory and obtain environmental judgment parameters;

[0021] Process the personnel route information in the factory and obtain abnormal parameters of the personnel route;

[0022] When any one of the personnel determination parameters, environmental determination parameters and personnel route abnormality parameters is abnormal, factory management information is generated.

[0023] Furthermore, the process of processing the factory entry personnel information and obtaining the personnel determination parameters is as follows:

[0024] When each factory employee enters the factory, they need to scan the identification badge they wear, extract the number of badges scanned in real time, remove the number of repeated scans, and obtain the number of people entering in real time;

[0025] Then, the production image information is extracted, human body recognition is performed on the production image information, the number of recognized human bodies is recorded, and the number of recognized persons is obtained;

[0026] Calculate the difference between the number of people entering in real time and the number of people identified, that is, obtain the person determination parameter. If the person determination parameter is greater than the preset value, it means that there is an abnormality;

[0027] The specific process of processing the environmental information in the factory and obtaining the environmental assessment parameters is as follows:

[0028] Extract the collected factory environment information, including ambient temperature, ambient humidity and ambient dust concentration;

[0029] Calculate the difference between the ambient temperature and the standard temperature to obtain the ambient temperature difference, the difference between the ambient humidity and the standard humidity to obtain the humidity difference, and the difference between the ambient dust concentration and the standard dust concentration to obtain the dust concentration difference;

[0030] The temperature difference, humidity difference and dust concentration difference constitute the environmental parameters. If any one of the temperature difference exceeds the preset temperature range, the humidity difference is greater than the preset value and the dust concentration difference is greater than the preset value occurs, it means that the environmental judgment parameter is abnormal;

[0031] The specific process of processing the personnel route information in the factory and obtaining the personnel route abnormal parameters is as follows:

[0032] The personnel route information within the factory is extracted, analyzed and processed, the number of abnormal states of the personnel route information within the factory is collected, and the personnel route abnormality parameters are obtained by analyzing the abnormal states.

[0033] Furthermore, the process of obtaining the route information of personnel in the factory and the process of obtaining the number of abnormal states are as follows:

[0034] The badges worn by factory personnel when entering the factory have a positioning function. The positioning information is collected every preset time, and all the positioning information of a single person in a single day is recorded. Then, the route information of a single person is obtained according to the collection order, that is, the route information of the personnel in the factory;

[0035] Extract the route information of a single person, set the location where the person is not allowed to stay, extract the number of times the route information of a single person appears in the location where the person is not allowed to stay, and when the number of times the route information of a single person appears in the location where the person is not allowed to stay is greater than the preset value, an abnormal state is recorded;

[0036] Extract the total mileage of a single person's route, then calculate the ratio of the total mileage of a single person's route to the collection time, and obtain the mileage per unit time. When the mileage per unit time is greater than the preset value, an abnormal state is recorded;

[0037] When a single person has two abnormal states at the same time, only one abnormal state is recorded;

[0038] Extract the number of abnormal states of all personnel, that is, obtain the number of abnormal states;

[0039] The specific process of analyzing the number of abnormal states to obtain the abnormal parameters of personnel routes is as follows:

[0040] The number of people entering in real time is extracted, and the ratio of the number of abnormal states to the number of people entering in real time is calculated, that is, the abnormal parameters of the personnel routes are obtained. When the abnormal parameters of the personnel routes are greater than the preset value, it means that there is an abnormality.

[0041] Furthermore, the specific process of processing the image information in the factory to generate abnormal management information is as follows:

[0042] Extract the image information in the factory, which includes the image information of production personnel and the image information of transportation roads;

[0043] Process the image information of the production personnel, lock the operator's hand movements, capture the operator's hand movements in real time, compare the similarity with the preset standard action model, and obtain the operation similarity;

[0044] When the similarity of the operations of more than a preset number of people is less than a preset value, abnormal management information is generated. At this time, the content of the abnormal management information is the abnormal operation of the people;

[0045] Then the transport road image information is extracted, and preset signs are painted on the transport roads within the factory;

[0046] The preset marking area in the road image information is identified. When the preset marking area is smaller than the standard preset marking area of ​​the preset value, abnormal management information is generated. At this time, the content of the abnormal management information is that there may be obstacles on the transportation road.

[0047] Furthermore, the specific process of processing the production status information, the road information in the factory, the automatic transportation equipment information and the image information in the factory to generate the transportation management information is as follows:

[0048] Extract production status information, and extract the remaining amount of raw materials, the placement of raw materials, the amount of finished products and the placement of finished products from the production status;

[0049] Then, the road information in the factory is extracted, and the road information in the factory includes the road width information and the road speed limit information in the factory;

[0050] Then, the automatic transport equipment information is extracted, and the automatic transport equipment information includes the width of the transport equipment, the current task volume of the transport equipment, and the current position of the transport equipment;

[0051] When the remaining amount of raw materials is less than the preset value or the finished product amount is greater than the preset value, transportation management information is generated. At this time, the transportation route is planned and the automatic transportation equipment is mobilized based on the road information, automatic transportation equipment information, and image information within the factory.

[0052] Furthermore, the specific process of planning the transportation route is as follows:

[0053] Extract the remaining amount of raw materials. When the remaining amount of raw materials is less than the preset value, extract the raw material placement position and mark it as position a1. Then collect the raw material storage position and mark it as position a2.

[0054] Then, all the path information Li between the raw material storage location a2 and the raw material placement location a1 is planned, where i is the number of paths;

[0055] Then, the three shortest paths in all the path information Li are extracted to select the path based on the path, and they are marked as Lz1, Lz2 and Lz3 in order of distance;

[0056] Then, the image information of the paths corresponding to Lz1, Lz2 and Lz3 is extracted from the image information in the factory;

[0057] The image information of the paths corresponding to Lz1, Lz2 and Lz3 is collected for the number of people passing through per unit time, and the number of people passing through the paths corresponding to Lz1, Lz2 and Lz3 is scored according to the number of people passing through per unit time. The fewer the number of people passing through per unit time, the higher the score, and the score is marked as P;

[0058] Then collect the speed limit information of each road on the paths corresponding to Lz1, Lz2 and Lz3, calculate the average speed limit of the paths corresponding to Lz1, Lz2 and Lz3, and score them according to the average speed limit. The higher the average speed limit, the higher the score, and vice versa. This evaluation is marked as K.

[0059] Then score the distances of Lz1, Lz2 and Lz3. The longer the distance, the lower the score, and vice versa. This score is marked as V.

[0060] Assign V correction value e1, K correction value e2, P correction value e3, e3>e2>e1, e2+e1+e3=1;

[0061] The comprehensive score Vke of a single path is obtained by the formula V*e1+K*e2+P*e3=Vke, and then the path corresponding to the maximum value of the comprehensive score Vke among Lz1, Lz2 and Lz3 is selected as the planned transportation route;

[0062] When the finished product volume is greater than the preset amount, the process of obtaining the planned transportation route for finished product transportation refers to the process of obtaining the planned transportation route for raw material transportation.

[0063] Furthermore, the specific process of mobilizing the automatic transport equipment is as follows:

[0064] Extracting a planned transportation route, extracting the road width of each road section in the planned transportation route, and extracting the minimum value of the road width of each road section as a reference value;

[0065] Then, the conveying equipment width information is extracted from the automatic transport equipment information, and the positions of all conveying equipment whose conveying equipment width information is less than the reference value are extracted and marked as Fc, where c is the number of conveying equipment whose equipment width information is less than the reference value;

[0066] Then, the raw material storage location or the finished product placement location is extracted and marked as G. The three conveying devices closest to G in Fc are selected and marked as H1, H2 and H3 according to the distance;

[0067] Then, the current task quantities of the conveying equipment corresponding to H1, H2 and H3 are extracted, and the conveying equipment corresponding to the minimum current task quantity of the conveying equipment among H1, H2 and H3 is selected as the automatic transport equipment to be mobilized.

[0068] Furthermore, the specific process of obtaining the transportation equipment management information is as follows:

[0069] Extracting automatic transport equipment information, the automatic transport equipment information also includes the shaking amplitude information of the automatic transport equipment, the continuous operation time information of the automatic transport equipment, and the deviation information of the automatic transport equipment from the planned route during operation;

[0070] When the shaking amplitude information of the automatic transport equipment is greater than the preset value for a preset period of time, the transport equipment management information is generated;

[0071] When the continuous operation time information of the automatic transport equipment is greater than the preset value, the transport equipment management information is generated;

[0072] Continuously collect m times of driving deviation information from the planned route during the operation of the automatic transport equipment. When the number of driving deviation information from the planned route during the operation of the automatic transport equipment exceeds a preset value and exceeds m / 5, the transport equipment management information is generated.

[0073] Compared with the prior art, the present invention has the following advantages: the information management system of the smart factory improves the intelligent management level of the factory, ensures production safety and efficient operation, and the comprehensive information collection and integration system is equipped with multiple information collection modules, covering various types of information such as factory information, production images, roads, production conditions, and automatic transportation equipment. This comprehensive information collection can fully reflect the operating status of the factory and provide a rich and accurate data basis for subsequent data processing and decision-making. For example, the factory information collection module can obtain information such as factory entry personnel, environment, and personnel routes, providing multi-dimensional data support for overall management.

[0074] By processing the information of people entering the factory and comparing the real-time number of people entering with the number of identified people, possible loopholes in personnel access management can be discovered in a timely manner. For example, when the personnel determination parameter is greater than the preset value, it can be checked in a timely manner whether there is unauthorized entry into the factory, ensuring the safety of factory personnel and management order.

[0075] Analyze the environmental information in the factory, calculate the difference between the temperature, humidity, and dust concentration and the standard value, and once the environmental judgment parameters are abnormal, timely warn of environmental problems to avoid environmental factors affecting production quality or endangering employee health. For example, excessively high ambient temperature may affect the stability of equipment operation, and timely warnings can be used to take cooling measures.

[0076] By processing personnel route information, collecting the number of abnormal states and calculating personnel route abnormal parameters, the scope of activities and behaviors of personnel in the factory can be standardized, improving the safety and orderliness of the production area.

[0077] Production operation monitoring and exception handling processes the image information in the factory. For the image information of production personnel, by comparing the similarity of the operator's hand movements with the standard action model, the standardization of production operations can be monitored. When the similarity of the operation of more than a preset number of personnel is less than the preset value, an exception management information is generated to prompt the personnel to operate abnormally, which helps to correct the operation in time and ensure product quality and production efficiency.

[0078] Based on the image information of the transport road, by identifying the preset marking area, it is determined whether there may be obstacles on the transport road, and early warning of transportation risks is given to ensure the smooth flow of transport roads and avoid transport delays or equipment damage due to road problems.

[0079] When the remaining amount of raw materials or the amount of finished products triggers transportation demand, the system plans the transportation route by comprehensively considering multiple factors such as road width, speed limit, path distance, number of people passing through, etc., which can improve transportation efficiency, reduce transportation time and cost, and ensure the safety and smoothness of the transportation process.

[0080] According to the road width and automatic transport equipment width of the planned transport route, suitable transport equipment is screened out, and combined with the equipment location and current task volume, the equipment with the closest distance and the smallest task volume is selected for mobilization, so as to achieve reasonable allocation and efficient utilization of automatic transport equipment and improve overall transport efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0081] Figure 1 It is the overall structural diagram of the present invention. DETAILED DESCRIPTION

[0082] The following is a detailed description of an embodiment of the present invention. This embodiment is implemented on the premise of the technical solution of the present invention, and provides a detailed implementation method and a specific operation process, but the protection scope of the present invention is not limited to the following embodiment.

[0083] like Figure 1 As shown, this embodiment provides a technical solution: an information management system for a smart factory, including a factory information acquisition module, a production image acquisition module, a road information acquisition module, a production status acquisition module, an automatic transportation equipment acquisition module, a data processing module and an information sending module;

[0084] The factory information collection module is used to collect factory information;

[0085] The production image acquisition module is used to collect image information in the factory;

[0086] The road information collection module is used to collect road information within the factory;

[0087] The production status collection module is used to collect production status information;

[0088] The automatic transport equipment acquisition module is used to collect automatic transport equipment information;

[0089] The data processing module is used to process the factory information and generate factory management information;

[0090] Process the image information in the factory and generate abnormal management information;

[0091] Processing production status information, factory road information, automatic transportation equipment information and factory image information to generate transportation management information;

[0092] Processing and generating automatic transport equipment information to generate transport equipment management information;

[0093] The information sending module is used to send the factory management information, abnormal management information, transportation management information and transportation equipment management information to a preset receiving terminal after the above information is generated.

[0094] The specific process of obtaining the factory management information is as follows:

[0095] Extract the collected factory information, including factory entry personnel information, factory environment information and factory personnel route information;

[0096] Process the information of people entering the factory and obtain the personnel determination parameters;

[0097] Process the environmental information in the factory and obtain environmental judgment parameters;

[0098] Process the personnel route information in the factory and obtain abnormal parameters of the personnel route;

[0099] When any one of the personnel determination parameters, environmental determination parameters and personnel route abnormality parameters is abnormal, factory management information is generated.

[0100] From the perspective of personnel management: By processing the information of people entering the factory and obtaining the personnel identification parameters, abnormalities in personnel management can be discovered in a timely manner. For example, if the difference between the number of people entering in real time and the number of identified people is too large, it may mean that unauthorized people have entered the factory, or that the personnel identification system has failed. Timely discovery of these abnormalities can ensure the safety of factory personnel and management order.

[0101] Environmental management perspective: Processing environmental information in the factory to obtain environmental judgment parameters helps to promptly detect the impact of environmental factors on production and personnel. For example, when the ambient temperature, humidity or dust concentration exceeds the normal range, it may affect product quality, equipment life or employee health. Timely warnings can enable managers to take corresponding measures, such as adjusting the air conditioning system, adding ventilation equipment, etc., to maintain a suitable production environment.

[0102] Personnel route management: Analyzing personnel route information to obtain personnel route abnormality parameters can regulate personnel activities in the factory and ensure the orderly progress of the production process. For example, if it is found that personnel appear too many times in a location where they are not allowed to stay, or the mileage per unit time is abnormal, it may indicate illegal operations or potential safety risks. Timely intervention can avoid accidents and maintain the normal order of the production area.

[0103] Take targeted management measures: Once the personnel determination parameters, environmental determination parameters or personnel route abnormality parameters are abnormal, the factory management information is generated to provide managers with clear problem instructions. Managers can quickly locate the problem based on the specific abnormal information and take targeted management measures. For example, if the personnel determination parameters are abnormal, access control management and personnel identity verification can be strengthened; if the environmental determination parameters are abnormal, environmental conditioning equipment can be started or environmental cleaning work can be arranged; if the personnel route abnormality parameters are abnormal, employee training and on-site supervision can be strengthened to effectively solve the problem and ensure the normal operation of the factory.

[0104] The process of processing the factory entry personnel information and obtaining the personnel determination parameters is as follows:

[0105] When each factory employee enters the factory, they need to scan the identification badge they wear, extract the number of badges scanned in real time, remove the number of repeated scans, and obtain the number of people entering in real time;

[0106] Then, the production image information is extracted, human body recognition is performed on the production image information, the number of recognized human bodies is recorded, and the number of recognized persons is obtained;

[0107] Calculate the difference between the number of people entering in real time and the number of people identified, that is, obtain the person determination parameter. If the person determination parameter is greater than the preset value, it means that there is an abnormality;

[0108] The specific process of processing the environmental information in the factory and obtaining the environmental assessment parameters is as follows:

[0109] Extract the collected factory environment information, including ambient temperature, ambient humidity and ambient dust concentration;

[0110] Calculate the difference between the ambient temperature and the standard temperature to obtain the ambient temperature difference, the difference between the ambient humidity and the standard humidity to obtain the humidity difference, and the difference between the ambient dust concentration and the standard dust concentration to obtain the dust concentration difference;

[0111] The temperature difference, humidity difference and dust concentration difference constitute the environmental parameters. If any one of the temperature difference exceeds the preset temperature range, the humidity difference is greater than the preset value and the dust concentration difference is greater than the preset value occurs, it means that the environmental judgment parameter is abnormal;

[0112] The specific process of processing the personnel route information in the factory and obtaining the personnel route abnormal parameters is as follows:

[0113] The personnel route information within the factory is extracted, analyzed and processed, the number of abnormal states of the personnel route information within the factory is collected, and the personnel route abnormality parameters are obtained by analyzing the abnormal states.

[0114] Accurate monitoring of the number of people: By scanning the ID card to obtain the real-time number of people entering the factory, and combining the production image information to perform human body recognition to obtain the number of identified people, this double confirmation mechanism can accurately monitor the actual number of people in the factory. Removing the number of repeated scans ensures the accuracy of the number of people entering the factory and avoids data deviations caused by situations such as incorrect scanning of ID cards. By comparing the number of people obtained in the two ways, it is possible to effectively detect whether there are loopholes in the management of personnel entry and exit.

[0115] Timely detection of abnormal situations: Calculate the difference between the number of real-time entering personnel and the number of identified personnel as the personnel determination parameter, and set the preset value to determine whether it is abnormal. This method can promptly detect abnormal situations such as illegal intrusion, work badge recognition errors, image recognition failures, etc. For example, if the difference is too large and the personnel determination parameter is greater than the preset value, it may mean that unauthorized personnel have entered the factory, or there is a data inconsistency problem between the work badge system and the image recognition system, which makes it easier for management personnel to intervene in the investigation in time to ensure the safety of personnel and management order in the factory.

[0116] Comprehensive environmental monitoring: Monitoring key indicators such as temperature, humidity and dust concentration in the factory environment, covering all important environmental factors that may affect the production process and employee health. By comparing with standard values ​​and calculating the difference between various indicators, the degree of deviation of environmental parameters can be quantified, allowing managers to have a clear understanding of environmental changes.

[0117] Timely warning of potential risks: The temperature difference, humidity difference and dust concentration difference are combined into environmental parameters, and the corresponding abnormal judgment standards are set. Once any of these parameters exceeds the preset range, it means that the environmental judgment parameter is abnormal, which can timely warn of potential production risks. For example, too high temperature may affect the normal operation of the equipment, abnormal humidity may cause the raw materials to become damp and deteriorate, and excessive dust concentration may endanger the health of employees. If these abnormalities are discovered in time, corresponding measures can be taken, such as adjusting the air conditioning system, adding dehumidification equipment, strengthening ventilation and dust removal, etc., to ensure the smooth progress of production and the health and safety of employees.

[0118] Standardize personnel behavior: Analyze and process personnel route information within the factory, and pay attention to the number of abnormal status of personnel routes, which helps to standardize the activities of employees within the factory. By setting standards for where personnel are not allowed to stay and the mileage per unit time, it can constrain employees to work along the specified routes and areas, and prevent employees from walking around at will to disrupt normal production order or enter dangerous areas.

[0119] Ensure production safety and efficiency: Timely acquisition of abnormal personnel route parameters can help discover potential safety hazards and production efficiency issues. For example, if a large number of personnel are found to stay in non-working areas, it may indicate that there is an unreasonable work process or insufficient employee training, which requires timely adjustment and optimization; if the mileage of individual personnel per unit time is abnormal, there may be physical discomfort or illegal behavior, and timely handling can avoid accidents and ensure production safety and efficiency. At the same time, through long-term analysis of abnormal personnel route parameters, data support can also be provided for factory layout optimization and work process improvement.

[0120] The process of obtaining the route information of personnel in the factory and the process of obtaining the number of abnormal states are as follows:

[0121] The badges worn by factory personnel when entering the factory have a positioning function. The positioning information is collected every preset time, and all the positioning information of a single person in a single day is recorded. Then, the route information of a single person is obtained according to the collection order, that is, the route information of the personnel in the factory;

[0122] Extract the route information of a single person, set the location where the person is not allowed to stay, extract the number of times the route information of a single person appears in the location where the person is not allowed to stay, and when the number of times the route information of a single person appears in the location where the person is not allowed to stay is greater than the preset value, an abnormal state is recorded;

[0123] Extract the total mileage of a single person's route, then calculate the ratio of the total mileage of a single person's route to the collection time, and obtain the mileage per unit time. When the mileage per unit time is greater than the preset value, an abnormal state is recorded;

[0124] When a single person has two abnormal states at the same time, only one abnormal state is recorded;

[0125] Extract the number of abnormal states of all personnel, that is, obtain the number of abnormal states;

[0126] The specific process of analyzing the number of abnormal states to obtain the abnormal parameters of personnel routes is as follows:

[0127] The number of people entering in real time is extracted, and the ratio of the number of abnormal states to the number of people entering in real time is calculated, that is, the abnormal parameters of the personnel routes are obtained. When the abnormal parameters of the personnel routes are greater than the preset value, it means that there is an abnormality.

[0128] By collecting location information at preset time intervals through work badges with positioning functions, the activity routes of individual personnel in the factory can be accurately mapped. This provides managers with a visual trajectory of personnel movements, making it easier to understand the location distribution of employees at different time periods and optimize factory layout planning, such as reasonably arranging work areas, passages and rest areas to make personnel flow smoother and reduce congestion and unnecessary walking paths.

[0129] Detailed knowledge of personnel route information can also help quickly locate employees in emergency situations (such as fire, equipment failure, etc.), improve emergency response speed, and ensure employee safety.

[0130] Setting locations where people are not allowed to stay and judging abnormal conditions based on them can ensure that employees comply with the factory's safety and production regulations. For example, setting no-stopping areas around dangerous equipment and inflammable and explosive storage areas can effectively prevent safety accidents caused by employees staying in the wrong place, and avoid low production efficiency caused by non-work-related stops.

[0131] Using the mileage per unit time as a consideration standard encourages employees to maintain a reasonable work pace, avoid slacking off or wandering aimlessly in the work area, and ensure that the production process proceeds as planned.

[0132] The personnel route abnormality parameter is calculated by calculating the ratio of the number of abnormal states to the number of people entering in real time, and the abnormal situation of personnel behavior is quantified and presented. When this parameter is greater than the preset value, it directly indicates to the manager that there are major problems with the flow of personnel in the factory, and the cause needs to be promptly investigated, such as whether there are changes in the work process that cause employees to be at a loss, or whether new employees are not fully trained, etc., and targeted measures can be taken in advance to resolve potential risks.

[0133] Fine management of personnel routes can reduce the time wasted in non-production links, allowing employees to devote more energy to actual work, directly improving production efficiency. At the same time, by optimizing personnel routes and standardizing employee behavior, it indirectly reduces the damage to equipment caused by illegal operations and disorderly flow of personnel, reduces equipment maintenance costs, and thus improves the overall operational efficiency of the factory from many aspects.

[0134] Example of obtaining personnel route information:

[0135] Assume that in a manufacturing factory, workers swipe their cards to enter the factory at 8 a.m. every day, and the badges they wear automatically collect location information every 15 minutes. From 8 a.m. to 9:30 a.m., worker Xiao Wang's badge records his location points at the workshop entrance, parts processing area, next to the assembly line, the tea room, and another part of the assembly line. By connecting these points in the order of collection, you can clearly see Xiao Wang's activity route in the hour and a half: after entering from the workshop entrance, he went to the parts processing area to pick up parts, then went to the assembly line for assembly, took a break in the tea room, and then returned to the assembly line to continue working. This is a typical route information for personnel in a factory.

[0136] Abnormal status judgment example:

[0137] Taking this factory as an example, the factory stipulates that personnel are not allowed to stay within 5 meters around the large stamping machine, because the machine in this area has a large impact force when running, which poses a safety risk. One day, through system monitoring, it was found that the route information of worker Xiao Li appeared 8 times in this no-parking area, while the preset value was 3 times. At this time, the system recorded that Xiao Li was in an abnormal state. At the same time, assuming that the preset value of the unit time moving mileage set by the factory on that day is 2 kilometers per hour (set according to the average working speed of different types of work), the hourly moving mileage of Xiao Li’s position should be between 1.5-2 kilometers under the normal working rhythm, but the monitoring found that Xiao Li’s unit time moving mileage reached 2.5 kilometers within one hour from 10 to 11 am that day, so another abnormal state was recorded. However, because the rules stipulate that when a single person has two abnormal states at the same time, only one abnormal state is recorded, so Xiao Li was recorded as an abnormal state from 10 to 11 am that day.

[0138] Example of personnel route exception parameters:

[0139] The number of people entering a certain electronic component production factory in real time that day was 200. Through system analysis of the personnel route information throughout the day, a total of 30 abnormal states were found. Calculate the ratio of the number of abnormal states to the number of people entering in real time, that is, 30÷200=0.15. Assuming that the factory's preset personnel route abnormality parameter value is 0.1, since 0.15>0.1, this indicates that there are abnormalities in the personnel routes in the factory that day. Managers need to check the detailed data to find out which areas and employees have problems, and then take corresponding measures, such as strengthening safety education for employees and re-examining whether the work process is reasonable.

[0140] The specific process of processing the image information in the factory and generating abnormal management information is as follows:

[0141] Extract the image information in the factory, which includes the image information of production personnel and the image information of transportation roads;

[0142] Process the image information of the production personnel, lock the operator's hand movements, capture the operator's hand movements in real time, compare the similarity with the preset standard action model, and obtain the operation similarity;

[0143] When the similarity of the operations of more than a preset number of people is less than a preset value, abnormal management information is generated. At this time, the content of the abnormal management information is the abnormal operation of the people;

[0144] Then the transport road image information is extracted, and preset signs are painted on the transport roads within the factory;

[0145] Identify the preset marking area in the road image information, and when the preset marking area is smaller than the standard preset marking area of ​​the preset value, generate abnormal management information, and the content of the abnormal management information at this time is that there may be obstacles on the transportation road;

[0146] By processing the image information of production personnel, real-time monitoring of the operator's hand movements and comparing them with the standard movement model, the standardization of the production operation process can be accurately controlled. In some industries that require extremely high operating accuracy, such as electronic chip manufacturing and precision instrument assembly, even a slight deviation in the hand may lead to product defects. Timely detection of abnormal operation of personnel can prompt employees to quickly correct irregular operations and avoid the production of a large number of unqualified products, thereby ensuring the stability of product quality, reducing the defective rate, and reducing cost losses and market reputation losses caused by quality problems.

[0147] Once it is found that more than the preset number of people are operating in an irregular manner, it means that there are systemic problems in the human operation link of the production process. Based on this, managers can carry out targeted training, optimize operation instructions or adjust the work process to make employees more skilled and accurate in operation, reduce rework and shutdown caused by operational errors, and thus improve overall production efficiency and ensure that production tasks are completed on time.

[0148] Based on the image information of the transport road, the road conditions are monitored by using preset painted signs. The transport roads in the factory are complex, with various vehicles and equipment shuttling through them. If there are obstacles on the road, it is very easy to cause transport accidents such as collisions and scratches, which will not only damage the goods and equipment, but may also cause casualties. By identifying the changes in the area of ​​the preset signs to determine whether there are obstacles, early warnings can be given, obstacles can be cleared in time, and the transport routes can be unobstructed, creating conditions for the efficient and safe transportation of raw materials, semi-finished products and finished products.

[0149] The system captures and processes image information in real time, which is instantaneous. Whether it is abnormal operation of personnel or hidden dangers on the transportation road, it can be discovered and abnormal management information can be generated at the first time. After receiving the notification, the manager can take quick action, such as sending technicians to guide corrective operations, arranging cleaning staff to clear road obstacles, etc., to nip potential risks in the bud and minimize losses.

[0150] Data accumulation and continuous optimization:

[0151] Long-term collection of data on personnel operation similarity and transportation road sign monitoring can provide a basis for the continuous optimization of the factory. By analyzing the operation of employees in different time periods and batches, we can summarize the operation error points and further improve the standard action model; according to the change rules of transportation road signs, we can reasonably plan the road maintenance cycle, optimize the sign painting plan, etc., to promote the continuous improvement of factory management level.

[0152] The specific process of processing the production status information, the road information in the factory, the automatic transportation equipment information and the image information in the factory to generate the transportation management information is as follows:

[0153] Extract production status information, and extract the remaining amount of raw materials, the placement of raw materials, the amount of finished products and the placement of finished products from the production status;

[0154] Then, the road information in the factory is extracted, and the road information in the factory includes the road width information and the road speed limit information in the factory;

[0155] Then, the automatic transport equipment information is extracted, and the automatic transport equipment information includes the width of the transport equipment, the current task volume of the transport equipment, and the current position of the transport equipment;

[0156] When the remaining amount of raw materials is less than the preset value or the finished product amount is greater than the preset value, transportation management information is generated. At this time, the transportation route is planned and the automatic transportation equipment is mobilized based on the road information, automatic transportation equipment information, and image information within the factory.

[0157] By extracting key data such as the remaining amount of raw materials and the amount of finished products completed from the production status information in real time, it is possible to accurately determine when raw materials need to be replenished or finished products need to be transported. When the remaining amount of raw materials is less than the preset value, it means that there is an imminent risk of raw material shortage, which may affect production continuity; when the amount of finished products completed is greater than the preset value, it indicates that the finished product inventory is overstocked and needs to be transferred in time. Based on this, the system generates transportation management information in a timely manner to ensure that the transportation link closely matches the production rhythm and avoids problems such as production stagnation or inventory backlog due to untimely transportation.

[0158] Comprehensively considering the road width information and road speed limit information in the factory, as well as the image information in the factory, can develop a more reasonable and efficient transportation route. The road width determines whether the transportation equipment can pass smoothly, avoiding the transportation equipment being unable to pass or causing traffic congestion due to narrow roads; the road speed limit information helps to plan the transportation time and ensure the transportation process is safe and efficient; and the image information can be used to understand the road conditions in real time, such as whether there are obstacles, personnel flow, etc., to further optimize the route selection. For example, avoid crowded sections of roads or areas with temporary construction, thereby improving transportation efficiency and reducing transportation time and costs.

[0159] Based on information such as the width of the transport equipment, the current task volume and the current location, the system can intelligently mobilize the most suitable automatic transport equipment to perform the task. Prioritize the selection of equipment whose width matches the transport road to ensure transportation safety; at the same time, considering the current task volume of the equipment, prioritize the use of equipment with a smaller task volume to avoid adding too much burden to equipment with heavy tasks and improve the overall utilization of the equipment; combined with the current location of the equipment, select equipment that is closer to the raw material placement location or the finished product placement location to reduce the equipment's idle driving time and further improve transportation efficiency.

[0160] The specific process of planning the transportation route is as follows:

[0161] Extract the remaining amount of raw materials. When the remaining amount of raw materials is less than the preset value, extract the raw material placement position and mark it as position a1. Then collect the raw material storage position and mark it as position a2.

[0162] Then, all the path information Li between the raw material storage location a2 and the raw material placement location a1 is planned, where i is the number of paths;

[0163] Then, the three shortest paths in all the path information Li are extracted to select the path based on the path, and they are marked as Lz1, Lz2 and Lz3 in order of distance;

[0164] Then, the image information of the paths corresponding to Lz1, Lz2 and Lz3 is extracted from the image information in the factory;

[0165] The image information of the paths corresponding to Lz1, Lz2 and Lz3 is collected for the number of people passing through per unit time, and the number of people passing through the paths corresponding to Lz1, Lz2 and Lz3 is scored according to the number of people passing through per unit time. The fewer the number of people passing through per unit time, the higher the score, and the score is marked as P;

[0166] Then collect the speed limit information of each road on the paths corresponding to Lz1, Lz2 and Lz3, calculate the average speed limit of the paths corresponding to Lz1, Lz2 and Lz3, and score them according to the average speed limit. The higher the average speed limit, the higher the score, and vice versa. This evaluation is marked as K.

[0167] Then score the distances of Lz1, Lz2 and Lz3. The longer the distance, the lower the score, and vice versa. This score is marked as V.

[0168] Assign V correction value e1, K correction value e2, P correction value e3, e3>e2>e1, e2+e1+e3=1;

[0169] The comprehensive score Vke of a single path is obtained by the formula V*e1+K*e2+P*e3=Vke, and then the path corresponding to the maximum value of the comprehensive score Vke among Lz1, Lz2 and Lz3 is selected as the planned transportation route;

[0170] When the finished product volume is greater than the preset amount, the process of obtaining the planned transportation route for finished product transportation refers to the process of obtaining the planned transportation route for raw material transportation.

[0171] Prioritize the balance between safety and efficiency: Since the correction value e3 of the traffic volume score (P) is the largest, it means that the number of people passing through is given a higher weight when planning transportation routes. Giving priority to routes with fewer people passing through can effectively reduce conflicts with people during transportation, reduce safety risks, and avoid transportation delays caused by dense crowds, thus achieving a balance between safety and efficiency.

[0172] Each influencing factor is quantitatively scored and assigned different correction values, and a comprehensive score is calculated through a formula. This method transforms the route selection process into a quantitative analysis, avoiding the limitations of decision-making based solely on experience or a single factor, making the decision more scientific and reasonable, and being able to select the route that best meets current transportation needs.

[0173] The same planning logic can be applied to both raw material transportation and finished product delivery. When production conditions change, such as when raw materials are in short supply and need to be replenished or finished products are in overstock and need to be shipped out, the system can quickly plan a suitable transportation route based on the actual situation, thus enhancing the system's adaptability and versatility.

[0174] Choosing a route with less traffic can reduce conflicts between transportation equipment and personnel and reduce the risk of accidents. At the same time, combining the average speed limit and distance factors can ensure that transportation is efficient while ensuring the safety of the transportation process, thereby improving overall transportation efficiency.

[0175] Determine the location and path: mark the raw material placement location as a1 and the raw material storage location as a2. The system plans all the path information Li between a2 and a1, and selects the three shortest paths, namely Lz1 (distance 300 meters), Lz2 (distance 320 meters), and Lz3 (distance 350 meters).

[0176] Passage number score (P): Through the analysis of the image information in the factory, the number of people passing through the Lz1 path per unit time is 40, the number of people passing through the Lz2 path per unit time is 30, and the number of people passing through the Lz3 path per unit time is 20. The scoring standard is set as follows: 2 points for the number of people passing 40 or more, 4 points for 30-39, and 6 points for 20-29. Therefore, the P score of Lz1 is 2 points, the P score of Lz2 is 4 points, and the P score of Lz3 is 6 points.

[0177] Average speed limit score (K): There are 3 sections on the Lz1 path, with speed limits of 25km / h, 30km / h, and 35km / h, and the average speed limit is (25+30+35)÷3=30km / h; There are 4 sections on the Lz2 path, with speed limits of 30km / h, 35km / h, 40km / h, and 40km / h, and the average speed limit is (30+35+40+40)÷4=36.25km / h; There are 3 sections on the Lz3 path, with speed limits of 40km / h, 45km / h, and 50km / h, and the average speed limit is (40+45+50)÷3≈45km / h. The scoring standard is set as follows: 8 points for an average speed limit of 45km / h and above, 6 points for 40-44.9km / h, 4 points for 35-39.9km / h, and 2 points for less than 35km / h. Then the K score of Lz1 is 2 points, the K score of Lz2 is 4 points, and the K score of Lz3 is 8 points.

[0178] Distance score (V): Set the distance score standard as follows: 8 points for 300 meters and below, 6 points for 301-350 meters, and 4 points for 351-400 meters. Then the V score of Lz1 is 8 points, the V score of Lz2 is 6 points, and the V score of Lz3 is 4 points.

[0179] Set correction values: assign V correction value e1 = 0.2, K correction value e2 = 0.3, P correction value e3 = 0.5.

[0180] Calculate the comprehensive score (Vke): The comprehensive score of Lz1 is Vke1 = 8×0.2+2×0.3+2×0.5=1.6+0.6+1=3.2 points.

[0181] The comprehensive score of Lz2 is Vke2=6×0.2+4×0.3+4×0.5=1.2+1.2+2=4.4 points.

[0182] The comprehensive score of Lz3 is Vke3=4×0.2+8×0.3+6×0.5=0.8+2.4+3=6.2 points.

[0183] Determine the planned transportation route: Since Lz3 has the highest comprehensive score Vke3, Lz3 path is finally selected as the planned transportation route.

[0184] The specific process of mobilizing automatic transport equipment is as follows:

[0185] Extracting a planned transportation route, extracting the road width of each road section in the planned transportation route, and extracting the minimum value of the road width of each road section as a reference value;

[0186] Then, the conveying equipment width information is extracted from the automatic transport equipment information, and the positions of all conveying equipment whose conveying equipment width information is less than the reference value are extracted and marked as Fc, where c is the number of conveying equipment whose equipment width information is less than the reference value;

[0187] Then, the raw material storage location or the finished product placement location is extracted and marked as G. The three conveying devices closest to G in Fc are selected and marked as H1, H2 and H3 according to the distance;

[0188] Then, the current task quantities of the conveying equipment corresponding to H1, H2 and H3 are extracted, and the conveying equipment corresponding to the minimum current task quantity of the conveying equipment among H1, H2 and H3 is selected as the automatic transport equipment to be mobilized.

[0189] By extracting the minimum road width of each section of the planned transportation route as the benchmark value and selecting transportation equipment with a width smaller than the benchmark value, it can be ensured that the selected transportation equipment will not be unable to pass due to narrow roads on the entire transportation route, effectively avoiding obstruction of the transportation equipment along the way and ensuring the smooth progress of the transportation task.

[0190] Giving priority to equipment that is closer to the raw material storage location or the finished product placement location can reduce the idle time of the transportation equipment when reaching the starting point, improve the response speed of the equipment, enable the transportation task to be started faster, and thus improve the overall transportation efficiency.

[0191] Among the equipment that is close to each other, selecting the equipment with the smallest current task load to perform the new task will help balance the workload of each transportation equipment, avoid overwork of some equipment, extend the service life of the equipment, and also ensure the stable operation of the entire transportation system.

[0192] Realize intelligent and scientific scheduling: The entire scheduling process is based on clear data indicators and logical rules, automatically completing the screening and selection of transportation equipment, reducing manual intervention, improving the accuracy and scientificity of scheduling, and realizing intelligent scheduling management of automatic transportation equipment.

[0193] The specific process of obtaining the transport equipment management information is as follows:

[0194] Extracting automatic transport equipment information, the automatic transport equipment information also includes the shaking amplitude information of the automatic transport equipment, the continuous operation time information of the automatic transport equipment, and the deviation information of the automatic transport equipment from the planned route during operation;

[0195] When the shaking amplitude information of the automatic transport equipment is greater than the preset value for a preset period of time, the transport equipment management information is generated;

[0196] When the continuous operation time information of the automatic transport equipment is greater than the preset value, the transport equipment management information is generated;

[0197] Continuously collect m times of driving deviation information from the planned route during the operation of the automatic transport equipment. When the number of driving deviation information from the planned route during the operation of the automatic transport equipment exceeds a preset value and exceeds m / 5, the transport equipment management information is generated.

[0198] By monitoring the operating shaking amplitude of the automatic transport equipment, once it is greater than the preset value and exceeds the preset duration, it indicates that the equipment may have hidden faults such as loose parts and structural damage. The transport equipment management information is generated in advance to remind the staff to carry out timely maintenance to avoid further deterioration of equipment failure and reduce the risk of production stagnation due to sudden equipment failure.

[0199] Pay attention to the continuous operation time of automatic transport equipment and generate management information when it exceeds the preset value, which helps to reasonably arrange the working time and rest time of the equipment, prevent excessive wear of the equipment due to long-term continuous operation, extend the service life of the equipment, ensure the stable operation of the equipment, and reduce the maintenance costs and production delays caused by excessive equipment wear.

[0200] Collect driving deviation information between automatic transport equipment and planned routes. If the number of times exceeding the preset value is too high, it means that the equipment may have problems such as navigation system failure and track deviation. Timely generation of management information can ensure that the transport equipment travels along the planned route, ensure the accuracy and safety of the transport process, and avoid damage to goods or transportation accidents due to route deviation.

[0201] Operation sway amplitude monitoring: The preset value of the automatic transport equipment's operation sway amplitude is set to 10° (measured by the angle deviation from normal operation), and the preset duration is 5 minutes. During the operation of a certain AGV, the monitoring system found that its sway amplitude reached 12°, and this situation lasted for 6 minutes, exceeding the preset 5 minutes. At this time, the system immediately generates transport equipment management information, prompting the staff that the AGV may have mechanical failures, such as wheel wear, loose chassis, etc., which need to be checked and repaired in time.

[0202] Continuous operation time monitoring: The preset value of the continuous operation time of automatic transport equipment is 8 hours. One of the AGVs started running at 8 am and its continuous operation time reached 8.5 hours at 4:30 pm, exceeding the preset 8 hours. The system then generated transport equipment management information to remind the staff that the AGV has been working continuously for a long time and needs to be arranged to stop working for rest and inspection to prevent the equipment from malfunctioning due to excessive use.

[0203] Driving deviation information monitoring: Set the continuous collection of driving deviation information between the automatic transport equipment and the planned route for m = 20 times, and the preset value is 0.5 meters from the planned route. Monitor a certain automatic transport equipment, and in the 20 consecutive data collections, it was found that 5 times it deviated from the planned route by more than 0.5 meters, exceeding m / 5 (i.e. 20 / 5 = 4 times). The system generates transport equipment management information based on this, indicating that the driving route of the automatic transport equipment has frequent deviations, which may be caused by navigation sensor failure or unclear ground markings, and needs to be promptly investigated and resolved to ensure the accuracy and safety of subsequent transportation.

[0204] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0205] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example" or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless they are contradictory.

[0206] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. An information management system for a smart factory, characterized in that: It includes factory information acquisition module, production image acquisition module, road information acquisition module, production status acquisition module, automatic transportation equipment acquisition module, data processing module and information sending module; The factory information collection module is used to collect factory information; The production image acquisition module is used to collect image information in the factory; The road information collection module is used to collect road information within the factory; The production status collection module is used to collect production status information; The automatic transport equipment acquisition module is used to collect automatic transport equipment information; The data processing module is used to process the factory information and generate factory management information; Process the image information in the factory and generate abnormal management information; Processing production status information, factory road information, automatic transportation equipment information and factory image information to generate transportation management information; Processing and generating automatic transport equipment information to generate transport equipment management information; The information sending module is used to send the factory management information, abnormal management information, transportation management information and transportation equipment management information to a preset receiving terminal after the above information is generated.

2. The information management system of a smart factory according to claim 1, characterized in that: The specific process of obtaining the factory management information is as follows: Extract the collected factory information, including factory entry personnel information, factory environment information and factory personnel route information; Process the information of people entering the factory and obtain the personnel determination parameters; Process the environmental information in the factory and obtain environmental judgment parameters; Process the personnel route information in the factory and obtain abnormal parameters of the personnel route; When any one of the personnel determination parameters, environmental determination parameters and personnel route abnormality parameters is abnormal, factory management information is generated.

3. The information management system of a smart factory according to claim 2 is characterized by: The process of processing the factory entry personnel information and obtaining personnel determination parameters is as follows: When each factory employee enters the factory, they need to scan the identification badge they wear, extract the number of badges scanned in real time, remove the number of repeated scans, and obtain the number of people entering in real time; Then, the production image information is extracted, human body recognition is performed on the production image information, the number of recognized human bodies is recorded, and the number of recognized persons is obtained; Calculate the difference between the number of people entering in real time and the number of people identified, that is, obtain the person determination parameter. If the person determination parameter is greater than the preset value, it means that there is an abnormality; The specific process of processing the environmental information in the factory and obtaining the environmental assessment parameters is as follows: Extract the collected factory environment information, including ambient temperature, ambient humidity and ambient dust concentration; Calculate the difference between the ambient temperature and the standard temperature to obtain the ambient temperature difference, the difference between the ambient humidity and the standard humidity to obtain the humidity difference, and the difference between the ambient dust concentration and the standard dust concentration to obtain the dust concentration difference; The temperature difference, humidity difference and dust concentration difference constitute the environmental parameters. If any one of the temperature difference exceeds the preset temperature range, the humidity difference is greater than the preset value and the dust concentration difference is greater than the preset value occurs, it means that the environmental judgment parameter is abnormal; The specific process of processing the personnel route information in the factory and obtaining the personnel route abnormal parameters is as follows: The personnel route information within the factory is extracted, analyzed and processed, the number of abnormal states of the personnel route information within the factory is collected, and the personnel route abnormality parameters are obtained by analyzing the abnormal states.

4. The information management system of a smart factory according to claim 3 is characterized by: The process of obtaining the route information of personnel in the factory and the process of obtaining the number of abnormal states are as follows: The badges worn by factory personnel when entering the factory have a positioning function. The positioning information is collected every preset time, and all the positioning information of a single person in a single day is recorded. Then, the route information of a single person is obtained according to the collection order, that is, the route information of the personnel in the factory; Extract the route information of a single person, set the location where the person is not allowed to stay, extract the number of times the route information of a single person appears in the location where the person is not allowed to stay, and when the number of times the route information of a single person appears in the location where the person is not allowed to stay is greater than the preset value, an abnormal state is recorded; Extract the total mileage of a single person's route, then calculate the ratio of the total mileage of a single person's route to the collection time, and obtain the mileage per unit time. When the mileage per unit time is greater than the preset value, an abnormal state is recorded; When a single person has two abnormal states at the same time, only one abnormal state is recorded; Extract the number of abnormal states of all personnel, that is, obtain the number of abnormal states; The specific process of analyzing the number of abnormal states to obtain the abnormal parameters of personnel routes is as follows: The number of people entering in real time is extracted, and the ratio of the number of abnormal states to the number of people entering in real time is calculated, that is, the abnormal parameters of the personnel routes are obtained. When the abnormal parameters of the personnel routes are greater than the preset value, it means that there is an abnormality.

5. The information management system of a smart factory according to claim 1, characterized in that: The specific process of processing the image information in the factory and generating abnormal management information is as follows: Extract the image information in the factory, which includes the image information of production personnel and the image information of transportation roads; Process the image information of the production personnel, lock the operator's hand movements, capture the operator's hand movements in real time, compare the similarity with the preset standard action model, and obtain the operation similarity; When the similarity of the operations of more than a preset number of people is less than a preset value, abnormal management information is generated. At this time, the content of the abnormal management information is the abnormal operation of the people; Then the transport road image information is extracted, and preset signs are painted on the transport roads within the factory; The preset marking area in the road image information is identified. When the preset marking area is smaller than the standard preset marking area of ​​the preset value, abnormal management information is generated. At this time, the content of the abnormal management information is that there may be obstacles on the transportation road.

6. The information management system of a smart factory according to claim 1, characterized in that: The specific process of processing the production status information, the road information in the factory, the automatic transportation equipment information and the image information in the factory to generate the transportation management information is as follows: Extract production status information, and extract the remaining amount of raw materials, the placement of raw materials, the amount of finished products and the placement of finished products from the production status; Then, the road information in the factory is extracted, and the road information in the factory includes the road width information and the road speed limit information in the factory; Then, the automatic transport equipment information is extracted, and the automatic transport equipment information includes the width of the transport equipment, the current task volume of the transport equipment, and the current position of the transport equipment; When the remaining amount of raw materials is less than the preset value or the finished product amount is greater than the preset value, transportation management information is generated. At this time, the transportation route is planned and the automatic transportation equipment is mobilized based on the road information, automatic transportation equipment information, and image information within the factory.

7. The information management system of a smart factory according to claim 6, characterized in that: The specific process of planning the transportation route is as follows: Extract the remaining amount of raw materials. When the remaining amount of raw materials is less than the preset value, extract the raw material placement position and mark it as position a1. Then collect the raw material storage position and mark it as position a2. Then, all the path information Li between the raw material storage location a2 and the raw material placement location a1 is planned, where i is the number of paths; Then, the three shortest paths in all the path information Li are extracted to select the path based on the path, and they are marked as Lz1, Lz2 and Lz3 in order of distance; Then, the image information of the paths corresponding to Lz1, Lz2 and Lz3 is extracted from the image information in the factory; The image information of the paths corresponding to Lz1, Lz2 and Lz3 is collected for the number of people passing through per unit time, and the number of people passing through the paths corresponding to Lz1, Lz2 and Lz3 is scored according to the number of people passing through per unit time. The fewer the number of people passing through per unit time, the higher the score, and the score is marked as P; Then collect the speed limit information of each road on the paths corresponding to Lz1, Lz2 and Lz3, calculate the average speed limit of the paths corresponding to Lz1, Lz2 and Lz3, and score them according to the average speed limit. The higher the average speed limit, the higher the score, and vice versa. This evaluation is marked as K. Then score the distances of Lz1, Lz2 and Lz3. The longer the distance, the lower the score, and vice versa. This score is marked as V. Assign V correction value e1, K correction value e2, P correction value e3, e3>e2>e1, e2+e1+e3=1; The comprehensive score Vke of a single path is obtained by the formula V*e1+K*e2+P*e3=Vke, and then the path corresponding to the maximum value of the comprehensive score Vke among Lz1, Lz2 and Lz3 is selected as the planned transportation route; When the finished product volume is greater than the preset amount, the process of obtaining the planned transportation route for finished product transportation refers to the process of obtaining the planned transportation route for raw material transportation.

8. The information management system of a smart factory according to claim 7, characterized in that: The specific process of mobilizing automatic transport equipment is as follows: Extracting a planned transportation route, extracting the road width of each road section in the planned transportation route, and extracting the minimum value of the road width of each road section as a reference value; Then, the conveying equipment width information is extracted from the automatic transport equipment information, and the positions of all conveying equipment whose conveying equipment width information is less than the reference value are extracted and marked as Fc, where c is the number of conveying equipment whose equipment width information is less than the reference value; Then, the raw material storage location or the finished product placement location is extracted and marked as G. The three conveying devices closest to G in Fc are selected and marked as H1, H2 and H3 according to the distance; Then, the current task quantities of the conveying equipment corresponding to H1, H2 and H3 are extracted, and the conveying equipment corresponding to the minimum current task quantity of the conveying equipment among H1, H2 and H3 is selected as the automatic transport equipment to be mobilized.

9. The information management system of a smart factory according to claim 1, characterized in that: The specific process of obtaining the transport equipment management information is as follows: Extracting automatic transport equipment information, the automatic transport equipment information also includes the shaking amplitude information of the automatic transport equipment, the continuous operation time information of the automatic transport equipment, and the deviation information of the automatic transport equipment from the planned route during operation; When the shaking amplitude information of the automatic transport equipment is greater than the preset value for a preset period of time, the transport equipment management information is generated; When the continuous operation time information of the automatic transport equipment is greater than the preset value, the transport equipment management information is generated; Continuously collect m times of driving deviation information from the planned route during the operation of the automatic transport equipment. When the number of driving deviation information from the planned route during the operation of the automatic transport equipment exceeds a preset value and exceeds m / 5, the transport equipment management information is generated.

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