A material yard inventory and error calculation method, system, electronic equipment and storage medium

Abstract

The present disclosure relates to the technical field of material stacking management, and discloses a material yard inventory and error accounting method, the method comprising: collecting material yard data, tracking and recording dynamic change information of materials in the material yard; determining the basic inventory of materials according to the material yard data, and dynamically adjusting the inventory based on the dynamic change information to obtain the actual inventory of materials; comparing the actual inventory with the preset standard inventory, and in the case where there is an error between the actual inventory and the standard inventory, analyzing the cause of the error and evaluating the impact to obtain an error analysis result; generating a visual chart and / or result report based on at least one of the dynamic change information, the basic inventory, the actual inventory, and the error analysis result, which can track and record the dynamic changes of the material yard in real time, accurately calculate the real-time inventory, analyze the difference and cause between the real-time inventory and the standard inventory, and provide a detailed chart or report for display to users.

Description

Technical Field

[0001] The present invention relates to the technical field of material stacking management, and in particular to a material yard inventory and error calculation method, system, electronic equipment and storage medium. Background Art

[0002] The core function of a material yard is to store materials in a centralized manner. It is an important "transfer station" in the material circulation process. It can accommodate a large amount of materials and provide material reserve guarantee for production, construction, transportation and other activities, ensuring that related operations can smoothly obtain corresponding material resources when needed, avoiding production stagnation and construction interruption caused by insufficient material supply.

[0003] The stacking of materials in the material yard is often complex and irregular in shape. There are bulk materials piled up into piles of various shapes, and finished or semi-finished materials of different sizes and shapes are stacked on each other. It is difficult to accurately measure the volume, quantity and other information of these materials through manual inventory counting, and it is easy to make mistakes or miss the inventory. The real-time inventory counting and error accounting system uses sensors such as laser sensors to accurately measure the distance and then calculate the volume, and image recognition technology to accurately identify the outline and shape of materials, etc., which can more accurately calculate the actual inventory of materials and ensure the authenticity and accuracy of inventory data.

[0004] In terms of dynamic tracking of data, the existing technology lacks an effective real-time monitoring mechanism and can only rely on manual regular inspections to check whether materials are entering or exiting and whether the stacking status has changed. This makes it difficult to grasp the real-time dynamic changes of materials in the yard in a timely manner. Once abnormal behavior occurs, such as illegal stacking that affects safety and material theft, it cannot be detected in the first time, resulting in the expansion of the problem and affecting the normal operation order of the yard. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a material yard inventory and error accounting method, system, electronic device and storage medium to realize real-time inventory and error analysis of material yard data, and solve the problem of relying on manual regular inspections to check whether materials are entering or exiting, whether the stacking status has changed, and the problem of being unable to promptly discover illegal stacking and not being able to detect it in the first place, which leads to the expansion of the problem and affects the normal operation order of the yard.

[0006] According to a first aspect of the present disclosure, a material yard inventory and error accounting method is provided, the method comprising: collecting material yard data, tracking and recording dynamic change information of materials in the material yard; determining the basic inventory of materials according to the material yard data, and dynamically adjusting the inventory based on the dynamic change information to obtain the actual inventory of the materials; comparing the actual inventory with the preset standard inventory, and in the case where there is an error between the actual inventory and the standard inventory, analyzing the cause of the error and evaluating the impact to obtain an error analysis result; generating a visualization chart and / or result report based on at least one of the dynamic change information, the basic inventory, the actual inventory, and the error analysis result, and performing a targeted push on the visualization chart and / or result report.

[0007] In some embodiments of the present disclosure, collecting material yard data includes: acquiring basic data of materials through sensors, wherein the basic data includes at least one of volume and weight; recording stacking data of materials through image acquisition equipment, wherein the stacking data includes at least one of the stacking state, layout, and surrounding environment of the materials in the material yard; performing data preprocessing on the collected basic data and stacking data to remove noise, erroneous data, and invalid data in the basic data and stacking data.

[0008] In some embodiments of the present disclosure, tracking and recording dynamic change information of materials in a material yard includes: monitoring the thickness and stacking height of the materials through monitoring equipment, and recording the change data of the thickness and stacking height of the materials as the first dynamic change information; monitoring the stacking process and the shape of the materials after stacking, and when abnormal stacking information that does not meet the preset stacking specifications is identified, outputting prompt information to prompt the abnormal material stacking; monitoring the entry and exit records and position movement of the materials, and recording the change data of the entry and exit records and position movement of the materials as the second dynamic change information.

[0009] In some embodiments of the present disclosure, the actual inventory is compared with the preset standard inventory, and when there is an error between the actual inventory and the standard inventory, the cause of the error is analyzed and the impact is evaluated to obtain the error analysis result, including: comparing the actual inventory with the preset standard inventory, and when there is an error between the actual inventory and the standard inventory, determining the difference between the actual inventory and the standard inventory; based on at least one of the difference and the operating conditions of the material yard, analyzing the cause of the error to obtain the cause of the error; evaluating the impact of the error on the operation of the material yard from at least one dimension to obtain an evaluation result, and generating an impact assessment report based on the evaluation result.

[0010] According to a second aspect of the present disclosure, a material yard inventory and error accounting system is provided, the system comprising: a data acquisition module, the data acquisition module is used to collect material yard data; a real-time monitoring module, the real-time monitoring module is used to track and record dynamic change information of materials in the material yard; an inventory calculation module, the inventory calculation module is used to determine the basic inventory of materials according to the material yard data, and dynamically adjust the inventory based on the dynamic change information to obtain the actual inventory of the materials; an error analysis module, the error analysis module is used to compare the actual inventory with the preset standard inventory, and when there is an error between the actual inventory and the standard inventory, the cause of the error is analyzed and the impact is evaluated to obtain an error analysis result; and a result output module, the result output module is used to generate a visual chart and / or a result report based on at least one of the dynamic change information, the basic inventory, the actual inventory, and the error analysis result, and to push the visual chart and / or the result report in a targeted manner.

[0011] In some embodiments of the present disclosure, the system further includes: a remote control module, which is used to assist operators in remotely managing and controlling the system.

[0012] In some embodiments of the present disclosure, the remote control module includes a permission management unit, a parameter configuration unit and a remote diagnosis unit, wherein the permission management unit is used to manage the allocation of permissions for remote operations; the parameter configuration unit is used to assist operators in setting adjustable system parameters in remote operations; and the remote diagnosis unit is used to remotely diagnose and preliminarily process faults when a system fault occurs.

[0013] In some embodiments of the present disclosure, the system also includes: an intelligent learning module, which is used to optimize the algorithms and / or models used for inventory calculation and error analysis in the system, predict the changing trends of actual inventory and errors, and classify and store the processing experience of material yards in various operating scenarios.

[0014] According to a third aspect of the present disclosure, there is provided an electronic device comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the material yard inventory and error accounting method of the aforementioned first aspect.

[0015] According to a fourth aspect of the present disclosure, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to enable a computer to execute the material yard inventory and error accounting method of the aforementioned first aspect.

[0016] According to a fifth aspect of the present disclosure, a computer program product is provided, including a computer program, which, when executed by a processor, implements the material yard inventory and error calculation method as described in the first aspect above.

[0017] The present disclosure provides a material yard inventory and error accounting method, the method comprising: collecting material yard data, tracking and recording dynamic change information of materials in the material yard; determining the basic inventory of materials according to the material yard data, and dynamically adjusting the inventory based on the dynamic change information to obtain the actual inventory of the materials; comparing the actual inventory with the preset standard inventory, and in the case where there is an error between the actual inventory and the standard inventory, analyzing the cause of the error and evaluating the impact to obtain an error analysis result; generating a visual chart and / or a result report based on at least one of the dynamic change information, the basic inventory, the actual inventory, and the error analysis result, and pushing the visual chart and / or the result report in a targeted manner, so that the dynamic changes of the material yard can be tracked and recorded in real time, the real-time inventory can be accurately calculated, the difference and cause between the real-time inventory and the standard inventory can be analyzed, and detailed inventory, error, and error analysis data can be provided for display to users, so that enterprise managers can realize refined management of the material yard based on accurate and real-time information, and then make efficient and scientific decisions, avoiding the effect of decision-making errors caused by inaccurate data or delayed information. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 A schematic diagram of a flow chart of a material yard inventory and error calculation method provided in an embodiment of the present disclosure;

[0019] Figure 2 A schematic diagram of a flow chart of another material yard inventory and error calculation method provided by an embodiment of the present disclosure;

[0020] Figure 3 A schematic diagram of the architecture of a material yard inventory and error calculation system provided by an embodiment of the present disclosure;

[0021] Figure 4 A schematic diagram of the architecture of another material yard inventory and error calculation system provided by an embodiment of the present disclosure;

[0022] Figure 5 A schematic block diagram of an exemplary electronic device 400 provided for an embodiment of the present disclosure. DETAILED DESCRIPTION

[0023] The following is a description of exemplary embodiments of the present disclosure in conjunction with the accompanying drawings, including various details of the embodiments of the present disclosure to facilitate understanding, which should be considered as merely exemplary. Therefore, it should be recognized by those of ordinary skill in the art that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the present disclosure. Similarly, for the sake of clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description.

[0024] The following describes a material yard inventory and error calculation method, system, electronic device and storage medium according to an embodiment of the present disclosure with reference to the accompanying drawings.

[0025] Figure 1 A schematic flow chart of a material yard inventory and error calculation method provided in an embodiment of the present disclosure.

[0026] like Figure 1 Said method comprises the following steps:

[0027] Step 101, collecting material yard data, tracking and recording dynamic change information of materials in the material yard.

[0028] In some embodiments of the present disclosure, material yard data includes physical characteristics of materials, environmental conditions, and other relevant measurement data, which can be obtained through sensors and / or image acquisition devices.

[0029] In some embodiments of the present disclosure, the dynamic change information of materials in the material yard includes the thickness of the materials, the change in the height of the material stacking, the material in and out conditions, the position movement, etc.

[0030] Step 102, determining the basic inventory of the material according to the material yard data, and dynamically adjusting the inventory based on the dynamic change information to obtain the actual inventory of the material.

[0031] In some embodiments of the present disclosure, key factors such as volume and density of materials are estimated based on material yard data to accurately calculate inventory quantity.

[0032] In some embodiments of the present disclosure, the inventory quantity is dynamically adjusted in real time according to the dynamic change information of the material data, so as to ensure that the inventory data is always consistent with the actual situation of the material yard.

[0033] Step 103, comparing the actual inventory with the preset standard inventory. If there is an error between the actual inventory and the standard inventory, the cause of the error is analyzed and the impact is evaluated to obtain an error analysis result.

[0034] In some embodiments of the present disclosure, the actual inventory quantity obtained is carefully compared with the pre-set standard inventory including the theoretical design inventory, the accurate inventory confirmed by the past inventory count, etc., to determine whether there is an error in the inventory and the specific numerical value of the error.

[0035] In some embodiments of the present disclosure, based on the determined inventory error situation, the specific causes of the error are analyzed using professional knowledge and comprehensive consideration of various aspects of material yard operations, and a detailed report is generated.

[0036] In some embodiments of the present disclosure, the impact of the errors that have occurred on the entire material yard operation is evaluated and a detailed report is generated.

[0037] Step 104, based on at least one of the dynamic change information, the basic inventory, the actual inventory, and the error analysis result, generate a visualization chart and / or a result report, and push the visualization chart and / or the result report in a targeted manner.

[0038] In some embodiments of the present disclosure, the data generated during the above-mentioned inventory determination, error cause analysis and impact assessment process can be pushed to users, relevant technicians, operators or other related devices or systems in the form of charts and result reports.

[0039] In summary, according to the material yard inventory and error accounting method provided by the present invention, material yard data is collected, and the dynamic change information of materials in the material yard is tracked and recorded; the basic inventory of materials is determined according to the material yard data, and the inventory is dynamically adjusted based on the dynamic change information to obtain the actual inventory of materials; the actual inventory is compared with the preset standard inventory, and when there is an error between the actual inventory and the standard inventory, the cause of the error is analyzed and the impact is evaluated to obtain the error analysis result; based on at least one of the dynamic change information, the basic inventory, the actual inventory, and the error analysis result, a visualization chart and / or a result report is generated, and the visualization chart and / or the result report is pushed in a targeted manner, which can track and record the dynamic changes of the material yard in real time, accurately calculate the real-time inventory, analyze the difference and cause between the real-time inventory and the standard inventory, and provide detailed inventory, error, and error analysis data for display to users, so that enterprise managers can realize refined management of material yards based on accurate and real-time information, and then make efficient and scientific decisions, avoiding the effect of decision-making errors caused by inaccurate data or delayed information.

[0040] based on Figure 1 , Figure 2 A schematic diagram of another material yard inventory and error calculation method provided by the embodiment of the present disclosure, wherein steps 201-206 are Figure 1 Further disclosure of step 101 in .

[0041] like Figure 2 Said method comprises the following steps:

[0042] Step 201, obtaining basic data of a material through a sensor, wherein the basic data includes at least one of volume and weight.

[0043] In some embodiments of the present disclosure, various sensors, such as laser sensors, weight sensors, ultrasonic sensors, etc., are deployed in the material yard to obtain basic data of materials from different dimensions. Among them, the laser sensor can accurately measure the outline of the material pile, which can minimize the measurement error caused by human factors, so that the basic data such as the volume and weight of the material obtained are closer to the true value, thereby improving the accuracy of the inventory work of the entire material yard. It also has the feature of not requiring manual operation to measure the various indicators of the material one by one, which greatly saves labor costs and time costs.

[0044] It should be noted that as long as the sensors used are operating normally and are configured reasonably, they can automatically and continuously collect the required data, thereby improving the efficiency of data collection.

[0045] Step 202, recording the stacking data of the materials by using an image acquisition device, wherein the stacking data includes at least one of the stacking state, layout, and surrounding environment of the materials in the material yard.

[0046] In some embodiments of the present disclosure, the image acquisition device can intuitively present the on-site situation of the storage yard. By using image acquisition devices such as cameras, visual image capture of the material storage yard can be performed to clearly record the actual state, layout, and surrounding environment of the material stacking, forming intuitive image data. These feature information helps to further confirm the type and quality of the material, and plays an auxiliary reference role in calculating the material volume, judging the material state, etc.

[0047] It should be noted that the addition of image information, in addition to the basic data collected by existing sensors, adds visual content to the entire data set, presents the status of the material yard from different angles, and provides richer materials for subsequent data processing and analysis, which helps to more accurately perform material inventory and error calculation.

[0048] Step 203 , preprocessing the collected basic data and stacked data to remove noise, erroneous data and invalid data in the basic data and stacked data.

[0049] In some embodiments of the present disclosure, since the sensors and image acquisition devices are inevitably affected by external environmental interference and the factors of the devices themselves during the data collection process, the collected raw data may contain some noise, errors or invalid data points. The present disclosure uses technical means such as filtering algorithms and data verification algorithms to perform data preprocessing through operations such as noise reduction to remove these interference factors and ensure the purity of the data. The preprocessed data is more accurate and reliable, providing a high-quality data foundation for various calculations, analyses and decisions based on the data by subsequent modules. It avoids problems such as calculation result deviation and inaccurate error analysis caused by poor quality of raw data, and improves the efficiency of inventory calculation and error analysis.

[0050] Step 204: monitor the thickness and stacking height of the material by using monitoring equipment, and record the change data of the thickness and stacking height of the material as the first dynamic change information.

[0051] In some embodiments of the present disclosure, corresponding monitoring technologies and equipment are used to continuously collect real-time change data of materials in the yard, focusing on key indicators such as material thickness and material stacking height, so as to accurately grasp the dynamic changes of materials in volume, shape, etc., and provide the most timely and accurate real-time status information of materials for the management of the entire material yard, so that inventory count data can be updated at any time according to actual conditions, effectively avoiding management decision-making errors caused by data lags, and helping enterprises to reasonably arrange activities such as material entry and exit and production processes, to ensure efficient and orderly operations.

[0052] Step 205 , monitoring the stacking process and the shape of the materials after stacking, and when abnormal stacking information that does not meet the preset stacking specification is identified, outputting prompt information to prompt that the material stacking is abnormal.

[0053] In some embodiments of the present disclosure, the entire process and final form of material stacking are observed and analyzed in real time through monitoring devices installed in various locations of the yard and intelligent recognition algorithms, so that material stacking behaviors that do not comply with the yard regulations, such as exceeding the specified height, occupying safety passages, and other violations, can be detected in a timely manner. Potential safety hazards can be discovered in advance to avoid safety accidents such as material collapse and obstruction of transportation passages caused by improper stacking. At the same time, it can also prevent problems such as inaccurate data acquisition and increased errors during inventory due to stacking methods that do not meet the requirements, effectively maintaining the standardization and safety of the material yard environment and ensuring the smooth implementation of various management tasks.

[0054] Step 206, monitoring the entry and exit records and position movement of the material, and recording the change data of the entry and exit records and position movement of the material as the second dynamic change information.

[0055] In some embodiments of the present disclosure, the method further includes: updating the stacking data of the material according to the second dynamic change information.

[0056] In some embodiments of the present disclosure, the dynamic change information such as the in and out situation of materials, the position movement in the yard, etc. is monitored in real time, and the recorded material stacking status is quickly updated to ensure that the recorded material status is always consistent with the real status in the actual yard. The authenticity and reliability of the data can be improved, so that the real-time inventory work and error accounting work based on these data can be carried out accurately and efficiently, providing accurate decision-making references for enterprise managers, and helping to optimize the overall resource allocation and operation management level of the material yard.

[0057] Step 207, determining the basic inventory of the material according to the material yard data, and dynamically adjusting the inventory based on the dynamic change information to obtain the actual inventory of the material.

[0058] In some embodiments of the present disclosure, the method further includes: integrating the data collected in the above steps 201-206 to eliminate data fragmentation, ensure that the various data involved in the inventory calculation are complete and interrelated, and eliminate calculation errors caused by missing or mismatched data. This can improve the accuracy and reliability of inventory calculation and lay a solid foundation for accurately grasping the actual inventory situation of the material yard.

[0059] In some embodiments of the present disclosure, the inventory quantity is accurately calculated based on the integrated data and key factors such as the volume and density of the material. For example, the actual inventory quantity of the material is obtained by combining the acquired material volume data and the estimated density value through the corresponding algorithm formula of multiplying the volume and density. The specific inventory value can be calculated scientifically and accurately, which greatly improves the calculation accuracy and reduces human errors compared to the traditional manual estimation method, so that enterprises can clearly know the actual material reserves in the material yard, and provide strong data support for the reasonable arrangement of production, procurement and other business activities.

[0060] In some embodiments of the present disclosure, according to the dynamic change information of materials, such as new materials entering and leaving the yard, changes in the material status due to loss, etc., the inventory values ​​are adjusted dynamically in time to ensure that the inventory data is always consistent with the actual situation of the material yard. The real-time and effectiveness of inventory data can be guaranteed, so that enterprise managers can make scientific decisions based on the latest and most accurate inventory situation, effectively avoiding problems such as material backlogs and shortages caused by lagging or inaccurate inventory data, optimizing the material management process, and improving overall operational efficiency.

[0061] Step 208, comparing the actual inventory with the preset standard inventory. If there is an error between the actual inventory and the standard inventory, the cause of the error is analyzed and the impact is evaluated to obtain an error analysis result.

[0062] In some embodiments of the present disclosure, the actual inventory quantity obtained by the inventory calculation module is carefully compared with the pre-set standard inventory, including the theoretical design inventory, the accurate inventory confirmed by the past inventory count, etc., so as to quickly and accurately determine whether there is an error in the inventory and the specific numerical size of the error, so that enterprise managers can intuitively understand the degree of deviation of the current material yard inventory data from the expected standard, so as to timely detect potential inventory management problems.

[0063] In some embodiments of the present disclosure, based on the determined inventory error situation, professional knowledge and comprehensive consideration of all aspects of the material yard operation are used to deeply analyze the specific reasons that lead to the error. Among them, the reasons may include measurement errors, natural material loss, loss during loading and unloading, theft, or system data recording errors. By accurately analyzing the root causes of the errors, it can help companies take targeted improvement measures, such as replacing more accurate measuring equipment, strengthening yard security, optimizing loading and unloading processes, etc., to fundamentally reduce the possibility of errors and improve the accuracy and reliability of material yard inventory management.

[0064] In some embodiments of the present disclosure, the impact of the existing errors on the entire material yard operation is comprehensively evaluated from multiple dimensions, and factors considered include whether the impact on the production plan will lead to production interruptions or delays due to material quantity deviations, the impact on cost control such as additional procurement costs and changes in warehousing costs caused by errors, as well as the impact on yard safety management, etc., and a detailed report is generated based on relevant analysis.

[0065] In some embodiments of the present disclosure, it also includes: pushing these important error information and impact assessment reports to personnel responsible for material management, production operations and other related work, and ensuring that personnel in all links can grasp the situation at the first time by pushing information in a timely manner, which is conducive to collaborative response to error problems, improving the ability of the entire material yard management system to respond to risks and solve problems, and ensuring the smooth development of operations.

[0066] Step 209, based on at least one of the dynamic change information, the basic inventory, the actual inventory, and the error analysis result, generate a visualization chart and / or a result report, and push the visualization chart and / or the result report in a targeted manner.

[0067] In some embodiments of the present disclosure, the material yard inventory results and error analysis and other related data obtained in the above steps 201-208 are converted into intuitive chart forms through professional visualization tools and technologies. For example, a bar chart can compare the changes in inventory quantity in different time periods, a line chart can show the fluctuation of errors over time, and a pie chart can show the proportion of various error causes, etc., so that users can view and understand the information contained in the data at a glance. The readability and comprehensibility of the data are greatly improved, so that users, whether managers or front-line operators, can quickly grasp the key situation of the material yard and quickly extract useful information from complex data, providing an intuitive and powerful basis for them to make quick decisions and adjust management strategies in a timely manner. At the same time, it also improves work efficiency and avoids spending a lot of time interpreting boring data content.

[0068] In some embodiments of the present disclosure, the material yard inventory results and error analysis and other related data obtained in the above steps 201-208 are automatically generated into a detailed and standardized result report according to the established format and logic. The report content covers the real-time inventory of the material yard, inventory quantity details, error calculation values, analysis of the causes of errors, and assessment of the impact on the overall operation, etc., and comprehensively presents the management status of the material yard. A systematic and complete material yard management record is retained for the enterprise, which is convenient for subsequent review, auditing, and query reference.

[0069] In some embodiments of the present disclosure, the results of the inventory of the material yard and the important data, visual charts, reports and other related information obtained from the error analysis are accurately pushed to the relevant technical personnel, operators, and other related equipment or systems involved in the management of the material yard. This ensures that key information can be delivered to the required personnel in a timely and accurate manner, allowing relevant personnel to grasp the latest situation of the material yard at the first time, reducing the time and manpower costs caused by having to deal with problems on site. Especially for material yards with a wide distribution range and greater management difficulty, it can significantly improve the overall management efficiency and emergency handling capabilities.

[0070] In some embodiments of the present disclosure, the method also includes: optimizing the model used for inventory calculation and error analysis based on dynamically changing information and past processing experience, wherein the past processing experience includes the processing experience accumulated in the past in the material yard management process for different material characteristics, diverse error situations and various complex operating scenarios.

[0071] In some embodiments of the present disclosure, the method also includes: classifying and storing past processing experience, and extracting these valuable experiences when needed, which not only realizes the effective precipitation and inheritance of corporate knowledge wealth, allowing new employees to quickly learn and draw lessons, but also makes full use of experience to speed up model optimization.

[0072] In some embodiments of the present disclosure, the method also includes: predicting the development trend of inventory and errors. Specifically, collecting inventory and error-related data for a long period of time in the past, combining current market demand changes, material supply characteristics, and internal operating conditions of the yard, and using professional prediction algorithms to scientifically predict the increase or decrease in inventory quantity in the future period and the possible development trend of errors. This allows companies to make adequate preparations in advance, such as reasonably arranging procurement plans based on forecasts, adjusting inventory strategies in advance, etc., effectively avoiding operational risks such as production stagnation and cost increase caused by abnormal inventory or excessive errors, and enhancing the company's initiative to respond to changes.

[0073] In summary, according to the material yard inventory and error accounting method provided by the present invention, the material yard data is collected comprehensively and accurately, the dynamic changes of materials are tracked and recorded in real time, and when abnormal stacking that does not meet the stacking specifications is identified, prompts are given in time to achieve real-time inventory and error accounting of the material yard, which solves the problem of relying on manual regular inspections to check whether materials are entering and exiting, whether the stacking status has changed, and the problem of not being able to discover illegal stacking in time and not being able to detect it in the first time, resulting in the expansion of the problem and affecting the normal operation order of the yard; the inventory can be accurately calculated, the error between the inventory and the standard value can be identified in time, and the cause of the error and the impact of the error can be analyzed, and a visual chart or report can be generated and pushed to relevant personnel in a targeted manner, so that enterprise managers can realize refined management of material yards based on accurate and real-time information, and then make efficient and scientific decisions, and avoid the effect of decision-making errors caused by inaccurate data or delayed information.

[0074] Figure 3 A schematic diagram of the architecture of another material yard inventory and error accounting system provided in an embodiment of the present disclosure.

[0075] like Figure 3 As shown, the material yard inventory and error calculation system 300 includes:

[0076] A data acquisition module 310, which is used to collect material yard data; a real-time monitoring module 320, which is used to track and record the dynamic change information of materials in the material yard; an inventory calculation module 330, which is used to determine the basic inventory of materials according to the material yard data, and dynamically adjust the inventory based on the dynamic change information to obtain the actual inventory of the materials; an error analysis module 340, which is used to compare the actual inventory with the preset standard inventory, and in the case where there is an error between the actual inventory and the standard inventory, analyze the cause of the error and evaluate the impact to obtain the error analysis result; and a result output module 350, which is used to generate a visual chart and / or result report based on at least one of the dynamic change information, the basic inventory, the actual inventory, and the error analysis result, and to push the visual chart and / or result report in a targeted manner.

[0077] In some embodiments of the present disclosure, the data acquisition module includes a sensor acquisition unit, an image acquisition unit and a data preprocessing unit. The sensor acquisition unit is responsible for acquiring basic data of materials through various sensors. The basic data includes volume and weight. The image acquisition unit is used to acquire image information of the yard using on-site equipment. The on-site equipment includes a camera and an image transmission device. The data preprocessing unit is used to perform preliminary processing on the collected raw data. The preliminary processing includes noise reduction and screening of material yard data including physical characteristics of materials, environmental conditions and related measurement data.

[0078] In some embodiments of the present disclosure, the real-time monitoring module includes a real-time data tracking unit, an abnormal behavior monitoring unit and a status update unit. The real-time data tracking unit is used to continuously track the real-time change data of the material, and the real-time change data includes the thickness of the material and the height of the material stacking. The abnormal behavior monitoring unit is used to monitor and identify material stacking that does not comply with regulations. The status update unit is used to timely update the current status information of the material. Dynamic changes include entry and exit conditions and position movement.

[0079] In some embodiments of the present disclosure, the inventory calculation module includes a data integration unit, an algorithm calculation unit and an inventory adjustment unit. The data integration unit is used to aggregate data from different channels for inventory calculation, the algorithm calculation unit is used to calculate the inventory quantity, and the inventory adjustment unit is used to dynamically adjust the inventory value according to new data. The calculation content includes volume and density factors.

[0080] In some embodiments of the present disclosure, the error analysis module includes an error comparison unit, a cause analysis unit and an impact assessment unit. The error comparison unit is used to compare the calculated inventory with the standard inventory, the cause analysis unit is used to analyze the specific cause of the error, and the impact assessment unit is used to assess the impact of the error on the overall stockpile. The relevant data includes generating a detailed report and pushing the information to relevant personnel.

[0081] In some embodiments of the present disclosure, the result output module includes a data visualization unit, a report generation unit and an information push unit. The data visualization unit is used to display the results to the user in a graphical visualization form, the report generation unit is used to generate a result report, and the information push unit is used to push the results to relevant technicians or systems.

[0082] In some embodiments of the present disclosure, Figure 4 As shown, the system also includes: a remote control module 360, which is used to assist the operator in remote management and control of the system; an intelligent learning module, which is used to optimize the algorithms and / or models used for inventory calculation and error analysis in the system, predict the changing trends of actual inventory and errors, and classify and store the processing experience of the material yard in various operating scenarios.

[0083] In some embodiments of the present disclosure, the remote control module includes a permission management unit, a parameter configuration unit and a remote diagnosis unit. The permission management unit is used to manage the allocation of permissions for remote operations, the parameter configuration unit is used to set remotely adjustable system parameters, and the remote diagnosis unit is used to remotely diagnose and preliminarily process system faults.

[0084] Specifically, the authority management unit is responsible for the allocation and management of the entire remote operation authority. It will accurately set which personnel can perform remote operations, as well as the specific scope of operation and the corresponding operation authority level based on the division of responsibilities of personnel in different positions within the enterprise, security levels, business needs and other factors. Through strict authority management and control, it can effectively prevent unauthorized personnel from arbitrarily accessing and operating the system, and avoid security issues such as data leakage and system failure caused by misoperation or malicious operation. It ensures that the remote control module operates in a safe and orderly environment, so that the company's remote management of the material yard can be carried out smoothly according to established rules;

[0085] The parameter configuration unit focuses on the remote setting function of system parameters, identifies those system parameters that can be remotely adjusted according to actual operating conditions, changes in material characteristics and other factors, and provides corresponding configuration interfaces and operation tools. This allows enterprises to conveniently optimize and adjust the system without arranging personnel to go on site, thereby improving management efficiency. Especially for a large number of material yards distributed in different geographical locations, remote parameter configuration can quickly and uniformly or individually change system parameters to ensure that the system is always in the best operating state and better serve the inventory and management of materials;

[0086] The remote diagnosis unit uses network communication technology and built-in fault detection and diagnosis programs to monitor the system operation status in real time. When the system fails, it can quickly collect relevant fault information at the remote end, such as error codes, abnormal equipment operation data, etc. This greatly shortens the fault response time, reduces the system downtime caused by waiting for technicians to go to the site to troubleshoot problems, and reduces the impact on the normal operation of the material yard. At the same time, by remotely handling some simple faults, it saves manpower and material costs, improves the reliability and stability of the entire system, and ensures the continuity of material yard management.

[0087] In some embodiments of the present disclosure, the intelligent learning module includes a model optimization unit, a trend prediction unit and an experience storage unit. The model optimization unit is used to continuously optimize the model of inventory calculation and error analysis in combination with dynamic changes. The trend prediction unit is used to predict the future development trend of inventory and errors. The experience storage unit is used to store and utilize past processing experience, and the processing experience is used to optimize the model in combination with the model optimization unit.

[0088] Specifically, the model optimization unit always pays close attention to the dynamic changes of various data in the material yard, such as fluctuations in the amount of materials entering and leaving, the impact of environmental factors, etc., and integrates these change information into the inventory calculation and error analysis model. Through rigorous algorithm adjustment and parameter calibration, the model is continuously refined and optimized. This makes the model more in line with the actual situation, and the output inventory data and error analysis results are more accurate and reliable, which effectively guarantees the scientific nature of material yard management decisions and improves the accuracy of overall operations.

[0089] The trend forecasting unit collects data related to inventory and errors over a long period of time in the past. At the same time, it combines multiple factors such as current market demand changes, material supply characteristics, and the internal operation status of the yard, and uses professional forecasting algorithms to scientifically estimate the increase or decrease in inventory quantity in the future and the possible development trend of errors. This allows companies to make adequate preparations in advance, such as reasonably arranging procurement plans based on forecasts, adjusting inventory strategies in advance, etc., effectively avoiding operational risks such as production stagnation and cost increase caused by abnormal inventory or excessive errors, and enhancing the company's initiative to respond to changes;

[0090] The experience storage unit systematically and methodically classifies and stores the processing experience accumulated in the past in the material yard management process for different material characteristics, diverse error conditions and various complex operation scenarios. When needed, these valuable experiences are extracted, which not only realizes the effective precipitation and inheritance of corporate knowledge wealth, allowing new employees to learn and draw lessons quickly, but also makes full use of experience to speed up model optimization, promotes continuous iteration and upgrading of the inventory management system, and better serves the increasingly refined management needs of material yards.

[0091] In summary, the material yard inventory and error calculation system provided by the present disclosure has the following beneficial effects:

[0092] 1. The present invention obtains material yard data comprehensively and accurately through the data acquisition module, the real-time monitoring module tracks dynamic changes in real time, the inventory calculation module accurately calculates the inventory, the error analysis module analyzes the differences and causes, and provides detailed content for the result output module to display to the user, so that enterprise managers can achieve refined management of material yards based on accurate and real-time information, and then make efficient and scientific decisions to avoid the effect of wrong decisions caused by inaccurate data or delayed information.

[0093] 2. The disclosed remote control module facilitates remote management and operation of the system, authority management ensures operational safety, parameter configuration optimizes the system, and remote diagnosis promptly handles faults, thereby improving the convenience and timeliness of the entire system's operation and maintenance. At the same time, it also has the function of using data through an intelligent learning module to predict inventory and error trends, prevent and control risks caused by inventory abnormalities in advance, and ensure stable operation of the material yard.

[0094] 3. The model optimization unit in the intelligent learning module of the present invention optimizes related models in combination with dynamic changes, the experience storage unit accumulates and uses past experience to help improve the model, and the trend prediction unit predicts future situations, so that the system performance and calculation methods can be continuously optimized. Moreover, the system can better adapt to the complex situations and diversified needs of different material yards, and always maintain good operating results and management capabilities.

[0095] Figure 5 A schematic block diagram of an example electronic device 400 that can be used to implement an embodiment of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present disclosure described and / or required herein.

[0096] like Figure 5 As shown, the device 400 includes a computing unit 401, which can perform various appropriate actions and processes according to a computer program stored in a ROM (Read-Only Memory) 402 or a computer program loaded from a storage unit 408 to a RAM (Random Access Memory) 403. In the RAM 403, various programs and data required for the operation of the device 400 can also be stored. The computing unit 401, the ROM 402, and the RAM 403 are connected to each other via a bus 404. An I / O (Input / Output) interface 405 is also connected to the bus 404.

[0097] A number of components in the device 400 are connected to the I / O interface 405, including: an input unit 406, such as a keyboard, a mouse, etc.; an output unit 407, such as various types of displays, speakers, etc.; a storage unit 408, such as a disk, an optical disk, etc.; and a communication unit 409, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 409 allows the device 400 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0098] The computing unit 401 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 401 include, but are not limited to, a CPU (Central Processing Unit), a GPU (Graphic Processing Units), various dedicated AI (Artificial Intelligence) computing chips, various computing units running machine learning model algorithms, a DSP (Digital Signal Processor), and any appropriate processor, controller, microcontroller, etc. The computing unit 401 performs the various methods and processes described above, such as a material yard inventory and error accounting method. For example, in some embodiments, the material yard inventory and error accounting method may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 408. In some embodiments, part or all of the computer program may be loaded and / or installed on the device 400 via the ROM 402 and / or the communication unit 409. When the computer program is loaded into the RAM 403 and executed by the computing unit 401, one or more steps of the method described above may be performed. Alternatively, in other embodiments, the computing unit 401 may be configured to execute the aforementioned material yard inventory and error calculation method in any other appropriate manner (eg, by means of firmware).

[0099] Various embodiments of the systems and techniques described above herein may be implemented in digital electronic detection device systems, integrated detection device systems, FPGAs (Field Programmable Gate Arrays), ASICs (Application-Specific Integrated Circuits), ASSPs (Application-Specific Standard Products), SOCs (System On Chips), CPLDs (Complex Programmable Logic Devices), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include: being implemented in one or more computer programs, which may be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, which may receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0100] The program code for implementing the method of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0101] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any suitable combination of the foregoing. More specific examples of machine-readable storage media may include electrical connections based on one or more lines, portable computer disks, hard disks, RAM, ROM, EPROM (Electrically Programmable Read-Only-Memory) or flash memory, optical fiber, CD-ROM (Compact Disc Read-Only Memory), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0102] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (Cathode-Ray Tube) or LCD (Liquid Crystal Display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0103] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: LAN (Local Area Network), WAN (Wide Area Network), the Internet, and blockchain networks.

[0104] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship between the client and the server is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services ("Virtual Private Server", or "VPS" for short). The server may also be a server of a distributed system, or a server combined with a blockchain.

[0105] It should be noted that artificial intelligence is a discipline that studies how computers can simulate certain human thought processes and intelligent behaviors (such as learning, reasoning, thinking, planning, etc.), and includes both hardware-level and software-level technologies. Artificial intelligence hardware technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, and big data processing; artificial intelligence software technologies mainly include computer vision technology, speech recognition technology, natural language processing technology, as well as machine learning / deep learning, big data processing technology, knowledge graph technology, and other major directions.

[0106] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this disclosure can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved, and this document does not limit this.

Claims

1. A material yard inventory and error calculation method, characterized in that: include: Collect material yard data, track and record the dynamic change information of materials in the material yard; Determine the basic inventory of the material according to the material yard data, and dynamically adjust the inventory based on the dynamic change information to obtain the actual inventory of the material; The actual inventory quantity is compared with the preset standard inventory quantity. If there is an error between the actual inventory quantity and the standard inventory quantity, the cause of the error is analyzed and the impact is evaluated to obtain an error analysis result; Based on at least one of the dynamic change information, the basic inventory, the actual inventory, and the error analysis result, a visualization chart and / or result report is generated, and the visualization chart and / or result report is pushed in a targeted manner.

2. The method according to claim 1, characterized in that The material yard data collection includes: Acquiring basic data of the material through a sensor, wherein the basic data includes at least one of volume and weight; Recording the stacking data of the material by an image acquisition device, wherein the stacking data includes at least one item of the stacking state, layout, and surrounding environment of the material in the material yard; The collected basic data and the stacked data are preprocessed to remove noise, erroneous data and invalid data in the basic data and the stacked data.

3. The method according to claim 1, characterized in that The tracking and recording of dynamic change information of materials in the material yard includes: Monitoring the thickness and stacking height of the material by means of a monitoring device, and recording the change data of the thickness and stacking height of the material as first dynamic change information; The stacking process and the shape of the materials after stacking are monitored, and when abnormal stacking information that does not meet the preset stacking specifications is identified, prompt information is output to prompt the abnormal stacking of the materials; Monitor the entry and exit records and position movement of the material, and record the change data of the entry and exit records and position movement of the material as the second dynamic change information.

4. The method according to claim 1, characterized in that The comparing the actual inventory with the preset standard inventory, and in the case where there is an error between the actual inventory and the standard inventory, analyzing the cause of the error and evaluating the impact of the error to obtain an error analysis result includes: Comparing the actual inventory with a preset standard inventory, and determining the difference between the actual inventory and the standard inventory if there is an error between the actual inventory and the standard inventory; Based on at least one of the difference and the operation status of the material yard, analyzing the cause of the error to obtain the cause of the error; The impact of the error on the operation of the material yard is evaluated from at least one dimension to obtain an evaluation result, and an impact evaluation report is generated according to the evaluation result.

5. A material yard inventory and error calculation system, characterized in that: The system comprises: A data acquisition module, wherein the data acquisition module is used to collect material yard data; A real-time monitoring module, which is used to track and record dynamic change information of materials in the material yard; An inventory calculation module, the inventory calculation module is used to determine the basic inventory of the material according to the material yard data, and dynamically adjust the inventory based on the dynamic change information to obtain the actual inventory of the material; An error analysis module, the error analysis module is used to compare the actual inventory with a preset standard inventory, and in the case where there is an error between the actual inventory and the standard inventory, analyze the cause of the error and evaluate its impact to obtain an error analysis result; And a result output module, which is used to generate a visual chart and / or a result report based on at least one of the dynamic change information, the basic inventory level, the actual inventory level, and the error analysis result, and to push the visual chart and / or the result report in a targeted manner.

6. The system according to claim 5, characterized in that The system further comprises: A remote control module is used to assist operators in remote management and control of the system.

7. The system according to claim 6, characterized in that The remote control module includes a permission management unit, a parameter configuration unit and a remote diagnosis unit, wherein: The authority management unit is used to manage the authority allocation of remote operations; The parameter configuration unit is used to assist the operator in setting the adjustable system parameters in the remote operation; The remote diagnosis unit is used to perform remote diagnosis and preliminary processing on the fault when the system fails.

8. The system according to claim 5, characterized in that The system further comprises: An intelligent learning module is used to optimize the algorithms and / or models used for inventory calculation and error analysis in the system, predict the changing trends of the actual inventory and the errors, and classify and store the processing experience of the material yard in various operating scenarios.

9. An electronic device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 5.

10. A non-transitory computer-readable storage medium storing computer instructions, characterized in that: The computer instructions are used to cause the computer to execute the method according to any one of claims 1-5.

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