A monitoring method and system for the production of mixed materials at digital construction sites

Abstract

This application relates to the field of digital construction site technology, and in particular to a method and system for monitoring the production and use of mixed materials in a digital construction site. The method includes acquiring at least one construction plan corresponding to the current mixing stage, and identifying each raw material to be mixed and its mixing quantity within each construction plan; integrating at least one construction plan to obtain the total mixing quantity of each raw material, and determining at least one mixing silo corresponding to each construction plan based on the total mixing quantity of each raw material; determining a mixing warning value for each mixing silo based on its raw material inventory and feeding rate; monitoring the actual inventory of each mixing silo based on its corresponding mixing warning value, identifying silos with inventory levels below the mixing warning value as abnormal silos, and generating a warning signal based on the abnormal silos. This application facilitates the timely detection and resolution of abnormal situations in the production and use of mixed materials.

Description

Technical Field

[0001] This application relates to the field of digital construction site technology, and in particular to a method and system for monitoring the production and use of mixed materials in digital construction sites. Background Technology

[0002] The mixture is mainly produced by mixing raw materials such as pulverized coal, sand, gravel, cement, admixtures, and fine aggregate powder. Through scientific raw material proportioning, mixing, transportation, storage, spreading, compaction, and joint treatment, the quality and performance of the mixture can be ensured to meet the needs of different projects. Among these, the proportion of the mixture is crucial to the construction quality. If the ratio between raw materials is unbalanced, the produced mixture may not meet the construction requirements or quality standards.

[0003] In related technologies, manual periodic inspections are generally used to supervise the production and use of the mixture. However, since different construction plans may have different mixture proportions, and the production and processing of the mixture usually involves multiple raw materials, and different raw materials correspond to different silos, manual periodic inspections may not be able to detect abnormalities in the production and use of the mixture in time. This may lead to an imbalance in the mixture proportion due to the inability to eliminate abnormalities in time, which may in turn lead to a decline in construction quality. Summary of the Invention

[0004] In order to facilitate the timely detection and resolution of abnormalities in the production and use of aggregate mixtures, thereby reducing the impact of imbalances in the mixing ratio on construction quality, this application provides a digital construction site aggregate production and use monitoring method and system.

[0005] Firstly, this application provides a digital construction site mixture production and usage monitoring method, which adopts the following technical solution:

[0006] A method for monitoring the production and use of mixed materials at a digital construction site, comprising:

[0007] Obtain at least one construction plan corresponding to the current mixing stage, and identify each raw material to be mixed and the amount to be mixed corresponding to each raw material in each construction plan;

[0008] By integrating the at least one construction plan, the total amount to be mixed for each raw material to be mixed is obtained, and the mixing silo corresponding to the at least one construction plan is determined based on the total amount to be mixed for each raw material to be mixed.

[0009] Identify the raw material inventory and feeding rate within a preset time period for each silo to be mixed; and determine the mixing warning value for each silo based on the raw material inventory and feeding rate.

[0010] Based on the mixing warning value corresponding to each mixing silo, the actual inventory of each mixing silo is monitored, and the mixing silos that are lower than the corresponding mixing warning value are identified as abnormal silos, and a warning signal is generated based on the abnormal silos.

[0011] By adopting the above technical solutions and integrating the construction plans corresponding to the current mixing stage, it is easier to achieve the connection between the construction plans and raw material management. In addition, by determining the corresponding mixing bins for each raw material to be mixed and its corresponding total amount to be mixed, instead of randomly selecting any mixing bin for mixing production, it is easier to reduce the number of interruptions during the mixing process, thereby improving the stability of the mixing process. After determining the corresponding mixing bins for each raw material to be mixed, personalized mixing early warning values ​​are formulated for each mixing bin based on the raw material inventory and feeding rate. That is, potential risks are predicted based on the actual situation of each mixing bin, and early warnings are issued based on their respective mixing early warning values. This facilitates the timely detection and resolution of abnormal situations in the production and use of the mixture, improves the accuracy and reliability of early warnings, reduces false alarms and missed alarms, and thus helps to reduce the impact of imbalance in the mixing ratio on the construction quality.

[0012] In one possible implementation, the method further includes:

[0013] Based on the at least one construction plan, determine the similar historical mixing stage corresponding to the current mixing stage and the similar historical mixing record corresponding to the similar historical mixing stage from the historical mixing database;

[0014] Based on the similar historical mixing records, the discharge rate threshold for each hopper to be mixed is determined, and the actual discharge rate of each hopper to be mixed during the current mixing stage is recorded;

[0015] The silos to be mixed that have an actual feeding rate higher than the corresponding feeding rate threshold are identified as abnormal silos, and the corresponding actual construction images are determined based on the abnormal silos.

[0016] Based on the historical mixed database, the standard construction image corresponding to the abnormal silo is determined, and the actual construction image is compared with the standard construction image to determine whether there is a difference in construction.

[0017] If so, then the abnormal silo and the differential construction should be reported back.

[0018] By adopting the above technical solution, the actual feeding rate is compared with the feeding rate threshold determined based on similar historical mixing records, which makes it easy to accurately identify the mixing silos with abnormal feeding rates. By monitoring and analyzing the construction behavior corresponding to the abnormal silos, it can be determined whether there are abnormal or different construction behaviors in the actual construction process. If so, timely feedback can be used to remind relevant personnel to adjust or optimize the actual construction behavior and avoid material waste.

[0019] In one possible implementation, the method further includes:

[0020] Obtain the actual feeding record of the material to be mixed silo during the feeding process, and simulate a virtual feeding image of the material to be mixed silo during the feeding process based on the actual feeding record;

[0021] Obtain an image of the actual mixing plant corresponding to the silo to be mixed, the image of the actual mixing plant including the mixing time and mixing volume;

[0022] The virtual material feeding image and the actual mixing plant image are bound together to form a mixing display image;

[0023] Once a visitor is detected triggering the display area, the stirring display image will be shown.

[0024] By adopting the above technical solution, the actual feeding process of the silo to be mixed is simulated based on the actual feeding records of the silo to be mixed, and displayed through a virtual feeding image. This allows relevant visitors to intuitively view the remaining status and actual descent of the raw materials stored in the silo. Furthermore, by combining the virtual feeding image with the actual mixing plant image, a mixing display image is formed, which intuitively shows the production and use process of the mixture. This allows relevant personnel to intuitively view the flow and use of the raw materials, thereby enabling them to more accurately understand the production and usage progress. In addition, the mixing display image is only displayed after relevant visitors trigger the display area, avoiding information overload and visual fatigue, and also reducing potential safety risks.

[0025] In one possible implementation, the method further includes:

[0026] When a raw material display requirement is detected, the requirement feature information in the raw material display requirement is identified. The requirement feature information includes the display stage and the raw materials to be displayed. The raw materials to be displayed include fly ash, sand, gravel, water, cement, admixtures, and fine aggregate powder.

[0027] Based on the demand feature information, determine the raw material consumption resource line corresponding to each display raw material in the raw material display demand, generate a raw material consumption chart based on the raw material consumption resource line of each display raw material, and feed back the raw material consumption chart. The raw material consumption resource line can represent the consumption amount of the display raw material during the display stage.

[0028] By adopting the above technical solution and generating a raw material consumption chart, it is convenient to intuitively display the consumption of each raw material in the corresponding display stage, which makes it easier for relevant managers to grasp the usage of each raw material in real time. Based on the raw material consumption chart, it is also easier for relevant managers to make more reasonable arrangements for the procurement and storage of raw materials, avoid resource waste or shortage, and thus improve resource allocation efficiency.

[0029] In one possible implementation, the method further includes:

[0030] The raw material consumption visualization is divided based on a preset time period to obtain at least two initial partitions. Each initial partition contains a partial raw material resource line corresponding to each displayed raw material.

[0031] Identify the consumption trend of each part of the raw material resource line in each initial partition, and based on the consumption trend of each part of the raw material resource line, determine whether there is a target partition in the at least two initial partitions, wherein the consumption trend of each part of the raw material resource line in the target partition is the same;

[0032] If so, the construction result image is determined based on the raw material resource lines of each part in the target partition, and the construction result image is superimposed on the target partition to obtain the final raw material consumption view.

[0033] By adopting the above technical solution, the construction results corresponding to each target partition are superimposed onto the corresponding partition, which facilitates the establishment of the correspondence between construction results and material consumption. This makes it easier for relevant staff to better understand and evaluate the construction effect. Since different visitors may have different viewing needs for the material consumption visualization, partitioning and superimposing the corresponding construction effects can meet the access needs of different visitors, thereby improving the user experience of relevant visitors.

[0034] In one possible implementation, the method further includes:

[0035] If the warning signal corresponding to the abnormal silo is not eliminated within the preset response period, the replenishment waiting period is determined based on the abnormal processing queue.

[0036] Based on the feeding rate of the abnormal silo, the first predicted mixing amount of the abnormal silo corresponding to the replenishment waiting period is determined;

[0037] Based on the abnormal silo, at least one initial associated silo is determined, and based on the predicted mixing amount and the second predicted mixing amount corresponding to each initial associated silo during the replenishment waiting period, it is determined whether the at least one initial associated silo contains a target associated silo, wherein the remaining inventory of the target associated silo is higher than the sum of the first predicted mixing amount and the corresponding second predicted mixing amount.

[0038] By adopting the above technical solution and generating an anomaly handling queue, it is convenient to orderly arrange the replenishment operations corresponding to each warning signal, which helps to avoid resource waste and production chaos caused by blind replenishment. If the generated warning signal is not eliminated within the preset response period, the replenishment waiting period is predicted based on the anomaly handling queue, and the associated silo is determined by calculating the first predicted mixing amount corresponding to the replenishment waiting period. This helps to avoid the abnormal silo from running out of material during the predicted replenishment waiting period. In addition, by understanding the raw material consumption of the abnormal silo before replenishment and the raw material consumption of each initial associated silo during the replenishment waiting period, a target associated silo is determined for the abnormal silo. This helps to ensure that neither the abnormal silo nor the target associated silo will experience production interruption due to raw material shortage during the predicted replenishment waiting period, thereby ensuring the continuity of the mixture production and use process.

[0039] Secondly, this application provides a monitoring system, which adopts the following technical solution:

[0040] A monitoring system comprising:

[0041] At least one processor;

[0042] Memory;

[0043] At least one application, wherein the at least one application is stored in memory and configured to be executed by at least one processor, the at least one application being configured to: execute the above-described digital site mixture production monitoring method.

[0044] Thirdly, this application provides a computer-readable storage medium, which adopts the following technical solution:

[0045] A computer-readable storage medium includes: a computer program stored thereon that can be loaded by a processor and execute the above-described digital construction site mixture production and use monitoring method.

[0046] Fourthly, this application provides a computer program product, which adopts the following technical solution:

[0047] A computer program product includes a computer program that, when executed by a processor, implements the aforementioned digital construction site mixture production and monitoring method.

[0048] In summary, this application includes at least one of the following beneficial technical effects:

[0049] By integrating the construction plans corresponding to the current mixing stage, it is easier to achieve the connection between construction plans and raw material management. In addition, by determining the corresponding mixing bins for each raw material to be mixed and its corresponding total amount to be mixed, instead of randomly selecting any bin for mixing production, it is easier to reduce the number of interruptions during the mixing process, thereby improving the stability of the mixing process. After determining the corresponding mixing bins for each raw material to be mixed, personalized mixing early warning values ​​are set for each bin based on the raw material inventory and feeding rate. That is, potential risks are predicted based on the actual situation of each bin, and early warnings are issued based on their corresponding mixing early warning values. This facilitates the timely detection and resolution of abnormal situations in the production and use of the mixture, improves the accuracy and reliability of early warnings, reduces false alarms and missed alarms, and thus helps to reduce the impact of imbalanced mixing ratios on construction quality.

[0050] By generating a raw material consumption chart, it is easy to intuitively display the consumption of each raw material in the corresponding display stage, which makes it easier for relevant managers to keep track of the usage of each raw material in real time. Based on the raw material consumption chart, it is also easier for relevant managers to make more reasonable arrangements for the procurement and storage of raw materials, avoid resource waste or shortage, and thus improve resource allocation efficiency. Attached Figure Description

[0051] Figure 1 This is a flowchart illustrating a digital construction site mixture production and usage monitoring method according to an embodiment of this application;

[0052] Figure 2 This is an example diagram of a raw material consumption visualization in an embodiment of this application;

[0053] Figure 3 This is an example diagram of a target partition in an embodiment of this application;

[0054] Figure 4 This is a schematic diagram of the structure of a monitoring system according to an embodiment of this application. Detailed Implementation

[0055] The following is in conjunction with the appendix Figures 1 to 4 This application will be described in further detail.

[0056] After reading this specification, those skilled in the art may make modifications to this embodiment without contributing any inventive step, but such modifications are protected by patent law as long as they fall within the scope of the claims of this application.

[0057] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0058] It should be noted that, in the optional embodiments of this application, the data related to object information, when applied to specific products or technologies, requires the permission or consent of the object. Furthermore, the collection, use, and processing of this data must comply with the relevant laws, regulations, and standards of the relevant countries and regions. In other words, if the embodiments of this application involve data related to an object, it must be obtained with the object's authorization and consent, the authorization and consent of relevant departments, and in accordance with the relevant laws, regulations, and standards of the country and region. If the embodiments involve personal information, the acquisition of all personal information requires the individual's consent. If sensitive information is involved, the separate consent of the information subject is required. The embodiments also need to be implemented with the object's authorization and consent.

[0059] Specifically, this application provides a method for monitoring the production and use of mixed materials at a digital construction site. This method is executed by a monitoring system, which can be a server or a terminal device. The server can be a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smartphone, tablet, laptop, desktop computer, etc., but is not limited to these. The terminal device and the server can be directly or indirectly connected via wired or wireless communication, and this application does not impose any limitations on this.

[0060] refer to Figure 1 , Figure 1 This is a flowchart illustrating a digital construction site mixture production and usage monitoring method according to an embodiment of this application. The method includes steps S110-S140, wherein:

[0061] Step S110: Obtain at least one construction plan corresponding to the current mixing stage, and identify each raw material to be mixed and the amount to be mixed corresponding to each raw material in each construction plan.

[0062] Specifically, the mixture is generally produced at the mixing plant and then transported to the construction site by relevant transport vehicles for use. The current mixing stage can be the stage corresponding to the start of the mixer, and the duration of the current mixing stage can be 4 hours or 8 hours. The specific duration is not specifically limited in this embodiment. The construction plan includes the usage requirements of the mixture, and different construction plans may have different usage requirements. For example, if construction plan a is for concrete construction, the usage requirements of the mixture may be cement, sand, gravel, and water configured in a certain proportion; if the construction plan is for insulation layer construction, the usage requirements of the mixture may be admixtures, cement, and fly ash configured in a certain proportion.

[0063] At least one construction plan corresponding to the current mixing stage is a construction plan that issues a mixing instruction or mixing request in the current mixing stage. The mixing instruction or mixing request corresponding to each construction plan can be uploaded to the monitoring system in advance by relevant personnel. The construction plan can identify multiple raw materials to be mixed and the amount to be mixed for each raw material. The raw materials to be mixed include, but are not limited to, fly ash, sand, gravel, water, cement, admixtures, fine aggregate powder, etc. Different raw materials to be mixed are stored in different silos. The raw materials to be mixed and the amount to be mixed for each raw material in each construction plan can be identified by a preset feature recognition algorithm. The specific preset feature recognition algorithm is not specifically limited in this application embodiment.

[0064] Step S120: Integrate at least one construction plan to obtain the total amount to be mixed for each raw material to be mixed, and determine at least one mixing silo corresponding to each construction plan based on the total amount to be mixed for each raw material to be mixed.

[0065] Specifically, since different construction plans have different requirements for the use of the mixture, the raw materials to be mixed and the amount of raw materials to be mixed are different for different construction plans. By integrating all construction plans, it is easy to obtain all the raw materials to be mixed for all construction plans and the total amount to be mixed for each raw material. For example, construction plan a requires 1 part of raw material a, 2 parts of raw material b, and 2 parts of raw material c; construction plan b requires 1 part of raw material b, 3 parts of raw material c, and 2 parts of raw material d. After integrating construction plans a and b, it can be determined that all the raw materials to be mixed for all construction plans include raw material a, raw material b, raw material c, and raw material d. The total amount to be mixed for raw material a is 1 part, the total amount to be mixed for raw material b is 3 parts, the total amount to be mixed for raw material c is 5 parts, and the total amount to be mixed for raw material d is 2 parts. One part can be 1 cubic meter or 0.5 cubic meters. The specific correspondence is not specifically limited in this embodiment.

[0066] Different raw materials to be mixed correspond to different silos, but different silos may store the same raw materials. For example, silo 1 and silo 2 are both used to store admixtures. Based on the integration results, multiple silos to be mixed are determined for the current mixing stage. The mixed materials are provided to the construction plan corresponding to the current mixing stage through multiple silos to be mixed. The raw material inventory in the selected silos to be mixed is not less than the preset inventory. The preset inventory can be 10 parts or 12 parts. The specific preset inventory is not specifically limited in this application embodiment.

[0067] Step S130: Identify the raw material inventory and feeding rate within a preset time period for each silo to be mixed. Based on the raw material inventory and feeding rate of each silo to be mixed, determine the mixing warning value for each silo to be mixed.

[0068] Specifically, during the production of the mixture, relevant personnel will replenish raw materials into the silos, and the number of silos is limited. Therefore, when determining at least one silo to be mixed corresponding to a construction plan, the selected silo does not necessarily need to provide the entire total amount to be mixed. The feeding rate of raw materials in the silo can be monitored during the processing of the mixture, and an appropriate mixing warning value can be determined based on the raw material inventory and feeding rate for early warning monitoring. The preset time period is a period of time after the corresponding silo to be mixed is started. The duration of the preset time period can be 60 minutes or 80 minutes; the specific duration is not specifically limited in this embodiment. The feeding rate of the silo to be mixed within the preset time period does not refer to the rate at which raw materials slide out or are discharged from the silo, but rather the consumption rate of the corresponding raw materials within the preset time period.

[0069] The lower the raw material inventory and the faster the feeding rate, the higher the corresponding mixing warning value. The mixing warning value corresponding to different combinations of raw material inventory and feeding rate parameters can be determined through a preset parameter correspondence. The specific content of the preset parameter correspondence is not specifically limited in this embodiment; it can be determined by relevant personnel based on historical experimental data and uploaded to the monitoring system. The mixing warning value for each mixing silo can be determined through the preset parameter correspondence.

[0070] Step S140: Based on the mixing warning value corresponding to each mixing silo, monitor the actual inventory of each mixing silo, identify the mixing silos that are lower than the corresponding mixing warning value as abnormal silos, and generate a warning signal based on the abnormal silos.

[0071] Specifically, during the production of the mixture, the monitoring of different mixing bins is not based on pre-set fixed values. Instead, a mixing warning value adapted to the actual material discharge of each bin is used for monitoring. This improves the accuracy of anomaly monitoring. Once the actual inventory level of a mixing bin falls below the corresponding mixing warning value, an early warning signal is immediately generated to promptly remind relevant personnel to replenish the corresponding raw materials to the abnormal bin. The actual inventory level of each mixing bin is measured by particle level sensors installed inside the bins and then transmitted to the monitoring system.

[0072] In this embodiment of the application, by integrating the construction plan corresponding to the current mixing stage, it is convenient to achieve the connection and management between the construction plan and raw material management. In addition, by determining the mixing bins corresponding to each raw material to be mixed and its corresponding total amount to be mixed, instead of randomly selecting any mixing bin for mixing production, it is easier to reduce the number of interruptions during the mixing process, thereby improving the stability of the mixing process. After determining the mixing bins corresponding to each raw material to be mixed, a personalized mixing early warning value is formulated for each mixing bin based on the raw material inventory and feeding rate. That is, potential risks are predicted based on the actual situation of each mixing bin, and early warnings are issued based on their respective mixing early warning values. This facilitates the timely detection and resolution of abnormal situations in the production and use of the mixed material, improves the accuracy and reliability of early warnings, reduces false alarms and missed alarms, and thus helps to reduce the impact on construction quality caused by imbalance in the mixing ratio.

[0073] Furthermore, to avoid wasting raw materials, the method provided in this application embodiment also includes:

[0074] Based on at least one construction plan, similar historical mixing stages and similar historical mixing records corresponding to the current mixing stage are determined from the historical mixing database. A discharge rate threshold for each silo to be mixed is determined based on the similar historical mixing records, and the actual discharge rate of each silo to be mixed within the current mixing stage is recorded. Silos to be mixed whose actual discharge rate exceeds the corresponding discharge rate threshold are identified as abnormal silos, and corresponding actual construction images are determined based on these abnormal silos. A standard construction image corresponding to the abnormal silos is determined based on the historical mixing database. The actual construction image is compared with the standard construction image to determine if there are any discrepancies in construction. If so, the abnormal silos and the discrepancies in construction are reported back.

[0075] Specifically, the historical mixing database contains all historical construction plans within a historical time period and historical mixing records corresponding to each historical construction plan. The historical mixing records contain the historical material feeding rate corresponding to each historical construction plan. Similar historical mixing stages corresponding to the current construction stage can be identified from the historical mixing database. Since the construction characteristics of construction plans corresponding to different construction stages may be different, in this embodiment of the application, it is necessary to first determine at least one similar historical mixing stage corresponding to the current mixing stage. Each similar historical mixing stage corresponds to at least one historical construction plan. Then, based on at least one historical construction record corresponding to the current mixing stage, the corresponding similar historical construction plan is determined from at least one historical construction plan corresponding to each similar historical mixing stage. Finally, based on the historical mixing records, the historical material feeding rate of each historical silo to be mixed in the similar historical construction plan is determined. The historical material feeding rate of each historical silo to be mixed is determined as the material feeding rate threshold of each silo to be mixed corresponding to at least one construction plan within the current mixing stage.

[0076] For any silo to be mixed, the actual feeding rate of the silo is obtained and monitored based on a feeding rate threshold. Once the actual feeding rate of the silo exceeds the threshold, the silo is identified as an abnormal silo. This method allows for the determination of whether each silo is abnormal. Abnormal silos have higher raw material consumption within a fixed time period, exceeding the raw material requirements of the historical construction plan for the same period. Since the production and use of the mixture are correlated, an increase in raw material consumption indicates that more mixture is actually used during construction. In this case, the actual construction images related to the silo can be analyzed to determine whether there are discrepancies in the actual construction process. If discrepancies exist, it may lead to an increase in the amount of mixture used, potentially resulting in unnecessary waste of raw material resources. For example, using construction process a to lay a 2-meter road that meets the preset acceptance conditions requires 3 cubic meters of material a, while using construction process b to lay a 2-meter road that meets the preset acceptance conditions requires 4.5 cubic meters of material a. In this case, if construction process b is continued to be used for laying, it may lead to waste of material a.

[0077] The system can identify standard construction images corresponding to abnormal material silos from a historical mixed database, and then compare these standard images with actual construction images to determine whether discrepancies exist during the actual construction process. Actual construction images can be captured by image acquisition devices installed at the actual construction site and uploaded to the monitoring system. When discrepancies are found, timely feedback can alert relevant personnel to adjust or optimize the actual construction process, thus avoiding material waste.

[0078] Furthermore, to facilitate relevant personnel's intuitive view of the flow and use of raw materials, the method provided in this application embodiment also includes:

[0079] Obtain the actual feeding record of the material to be mixed silo during the feeding process, and simulate a virtual feeding image of the material to be mixed silo during the feeding process based on the actual feeding record; obtain the actual mixing station image corresponding to the material to be mixed silo, the actual mixing station image includes the mixing time and mixing volume; bind the virtual feeding image and the actual mixing station image to form a mixing display image; when a relevant visitor triggers the display area, display the mixing display image.

[0080] Specifically, for any silo to be mixed, the actual feeding record of the silo includes the feeding quantity at each moment, which can be collected by the level gauge installed in the silo and uploaded to the monitoring system. When simulating a virtual feeding image of the silo during the feeding process based on the actual feeding record, the virtual silo model can be determined first according to the basic parameters of the silo to be mixed, including its shape and capacity. The virtual silo model corresponding to the silo to be mixed can also be uploaded to the monitoring system in advance by relevant personnel. The virtual silo model can reflect the current actual status of the silo to be mixed, and the raw material inventory in the silo can be viewed intuitively by adjusting the transparency of the simulated silo model. The virtual material feeding image visually shows the change in the raw material inventory in the virtual silo model over time. For example, if the total material feeding is 2 square meters between 20:00 and 20:03, the raw material height corresponding to the raw material inventory in the mixing silo is 500 cm at 20:00 and becomes 480 cm at 20:03. The virtual material feeding image simulates the process of the raw material height decreasing from 500 cm to 480 cm in the virtual silo model.

[0081] The actual mixing station corresponding to the material to be mixed silo is the mixing station used to mix the raw materials flowing out of the material to be mixed silo. The same mixing station may be associated with multiple material to be mixed silos. The actual mixing station image is the mixing process after the raw materials corresponding to the virtual material feeding image are transferred to the corresponding mixing station, including but not limited to the mixing time and mixing volume. Since the same material to be mixed silo may supply multiple mixing stations at the same time, there may be multiple actual mixing station images corresponding to the virtual material feeding image. The actual mixing station images can be acquired by image acquisition devices set up at the mixing station and uploaded to the monitoring system. After determining at least one actual mixing station image corresponding to the virtual material feeding image, the virtual material feeding image is bound to at least one actual mixing station image to obtain a mixing display image. The mixing display image can intuitively show the production and use process of the mixture, making it easy for relevant personnel to intuitively view the flow and use of the raw materials. Meanwhile, to avoid information overload and visual fatigue, a trigger display area can be set in the stirring display image. The stirring display image will only be displayed after a relevant visitor triggers the corresponding trigger display area. If no relevant visitor triggers the corresponding trigger display area, the image can be displayed according to a preset display frequency. The specific preset display frequency can be displayed every 5 minutes or every 10 minutes. The specific preset display frequency is not specifically limited in this embodiment.

[0082] Furthermore, to facilitate relevant management personnel in monitoring the usage of each raw material in real time, the method provided in this application embodiment also includes:

[0083] When a raw material display requirement is detected, the requirement feature information is identified. The requirement feature information includes the display stage and the raw materials to be displayed. The raw materials to be displayed include fly ash, sand, gravel, water, cement, admixtures, and fine aggregate powder. Based on the requirement feature information, the raw material consumption resource line corresponding to each raw material to be displayed is determined. Based on the raw material consumption resource line of each raw material to be displayed, a raw material consumption chart is generated and fed back. The raw material consumption resource line can represent the consumption amount of the raw material to be displayed in the display stage.

[0084] Specifically, the raw material display requirements can be uploaded to the monitoring system by relevant personnel. The raw material display requirements include the content that relevant personnel need to view, including the display stage and the raw materials to be displayed. Among them, the display stage is the period during which the raw material consumption needs to be checked. For example, from January 1, 2018 to January 30, 2018, the raw materials to be displayed may include fly ash, sand, gravel, water, cement, admixtures, fine aggregate powder, etc. In addition, the daily concrete production volume, the summary of material consumption in the machine room, the details of material consumption in the machine room, and the summary of material delivery volume in the machine room can also be viewed. The specific raw material display requirements are not limited in this embodiment of the application.

[0085] Upon detecting a raw material display requirement, the monitoring system will display the raw material consumption resource lines for each raw material during the display phase, based on the requirement's characteristic information. To facilitate differentiation between multiple raw materials, different colored lines or different types of lines can be used; this embodiment does not impose specific limitations. Figure 2 As shown, Figure 2 This is an example diagram showing the raw material consumption chart corresponding to a specific raw material display requirement. By generating this chart, the consumption of each raw material in the display requirement can be clearly displayed during the corresponding display stage. This allows relevant managers to monitor the usage of each raw material in real time. Furthermore, the raw material consumption chart helps managers to more rationally plan the procurement and storage of raw materials, avoiding resource waste or shortages, thereby improving resource allocation efficiency.

[0086] Furthermore, to better meet the access needs of different visitors, the method provided in this application embodiment also includes:

[0087] The raw material consumption visualization is divided into at least two initial partitions based on preset time periods. Each initial partition contains a portion of the raw material resource line corresponding to each displayed raw material. The consumption trend of each portion of the raw material resource line in each initial partition is identified. Based on the consumption trend of each portion of the raw material resource line, it is determined whether there is a target partition in the at least two initial partitions. The consumption trend of each portion of the raw material resource line in the target partition is the same. If so, the construction result image is determined based on each portion of the raw material resource line in the target partition, and the construction result image is superimposed on the target partition to obtain the final raw material consumption visualization.

[0088] Specifically, since different visitors may have different viewing needs for the raw material consumption view, after obtaining the raw material consumption view, further data overlay can be performed on it to enhance its richness. First, the raw material consumption view can be initially divided according to preset time periods, such as 12 hours or 24 hours. The specific preset time periods are not limited in this embodiment, as long as at least two initial partitions are obtained after the initial division based on the preset time periods.

[0089] Each initial partition contains a portion of the raw material resource line corresponding to each displayed raw material in the raw material consumption visualization. By analyzing the consumption trend of each portion of the raw material resource line in each initial partition, it is determined whether there are target partitions with the same consumption trend for each portion of the raw material resource line in at least two initial partitions. Figure 3 As shown, Figure 3The system contains two partition boxes, each corresponding to a target partition. The consumption trends of the various raw material resource lines within each target partition are the same. Using the time period corresponding to the target partition and the raw material resource lines for each part, the corresponding construction result images are retrieved from the construction records. These images represent the construction results completed using the raw materials and consumption amounts corresponding to the various raw material resource lines within the target partition. These images can include paved roads, paved foundations, installed insulation boards, etc. Overlaying these construction result images onto the target partition yields the final raw material consumption visualization. The construction records contain the completion date and raw materials used for each construction result.

[0090] Furthermore, to facilitate the avoidance of material shortages in abnormal silos during the predicted replenishment waiting period, the method provided in this application embodiment also includes:

[0091] If the warning signal corresponding to the abnormal silo is not eliminated within the preset response period, a replenishment waiting period is determined based on the abnormal processing queue; based on the feeding rate of the abnormal silo, the first predicted mixing amount corresponding to the abnormal silo during the replenishment waiting period is determined; based on the abnormal silo, at least one initial associated silo is determined, and based on the predicted mixing amount and the second predicted mixing amount corresponding to each initial associated silo during the replenishment waiting period, it is determined whether the at least one initial associated silo contains a target associated silo, and the remaining inventory of the target associated silo is higher than the sum of the first predicted mixing amount and the corresponding second predicted mixing amount.

[0092] Specifically, due to the limited number of personnel responsible for replenishment and the significant time required for each replenishment of the silo, timely responses may be impossible after an early warning signal is generated. To improve the standardization of the replenishment process, multiple early warning signals can be sorted according to their generation time to obtain an exception handling queue. If an early warning signal in the exception handling queue is not responded to within a preset response period, the replenishment waiting time for the unresponsive early warning signal can be predicted based on its position in the queue and the processing time of warning signals preceding it. The replenishment waiting period is then determined based on the current time and the waiting time. Silos storing different raw materials require different replenishment times. The processing time for each early warning signal preceding the unresponsive early warning signal can be predicted based on a preset replenishment rate mapping relationship. This preset replenishment rate mapping relationship represents the replenishment rate corresponding to different raw materials, and its specific content is not specifically limited in this embodiment.

[0093] To prevent material shortages in abnormal warehouses during the predicted refill waiting period, it is possible to analyze whether the abnormal warehouse contains related warehouses. If related warehouses exist, the raw material supply operation corresponding to the abnormal warehouse can be completed in coordination with the related warehouses. When determining the related warehouses of the abnormal warehouse, at least one initial related warehouse can be determined based on the raw materials corresponding to the abnormal warehouse. The initial related warehouses contain the same raw materials as the abnormal warehouse. Then, the second predicted mixing quantity required by each initial related warehouse during the refill waiting period is analyzed. Finally, based on the first predicted mixing quantity and the second predicted mixing quantity corresponding to each initial related warehouse, it is determined whether at least one initial related warehouse contains a target related warehouse. The remaining inventory of the target related warehouse must simultaneously meet the first and second predicted mixing quantities, that is, the remaining inventory of the target related warehouse must not be less than the sum of the first and second predicted mixing quantities.

[0094] By understanding the raw material consumption of abnormal silos before replenishment and the raw material consumption of each initial associated silo during the replenishment waiting period, target associated silos are identified for abnormal silos. The target associated silos are then controlled to provide raw materials in coordination with the abnormal silos. This ensures that neither the abnormal silo nor the target associated silos will experience production interruptions due to raw material shortages during the predicted replenishment waiting period, thereby ensuring the continuity of the mixture production process.

[0095] This application provides a monitoring system, such as... Figure 4 As shown, Figure 4 The monitoring system 400 shown includes a processor 401 and a memory 403. The processor 401 and the memory 403 are connected, for example, via a bus 402. Optionally, the monitoring system 400 may also include a transceiver 404. It should be noted that in practical applications, the transceiver 404 is not limited to one type, and the structure of this monitoring system 400 does not constitute a limitation on the embodiments of this application.

[0096] Processor 401 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. Processor 401 may also be a combination that implements computational functions, such as including one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.

[0097] Bus 402 may include a pathway for transmitting information between the aforementioned components. Bus 402 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. Bus 402 can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 4 The symbol is represented by only one line, but this does not mean that there is only one bus or one type of bus.

[0098] The memory 403 may be a ROM (Read Only Memory) or other type of static storage device capable of storing static information and instructions, RAM (Random Access Memory) or other type of dynamic storage device capable of storing information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), CD-ROM (Compact Disc Read Only Memory) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but not limited thereto.

[0099] The memory 403 is used to store application code that executes the solution of this application, and its execution is controlled by the processor 401. The processor 401 is used to execute the application code stored in the memory 403 to implement the content shown in the foregoing method embodiments.

[0100] The monitoring system includes, but is not limited to, mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (Personal Digital Assistants), PADs (Tablet PCs), PMPs (Portable Multimedia Players), and in-vehicle terminals (e.g., in-vehicle navigation terminals), as well as fixed terminals such as digital TVs and desktop computers. It can also include servers. Figure 4 The monitoring system shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0101] This application provides a computer-readable storage medium storing a computer program that, when run on a computer, enables the computer to execute the corresponding content in the aforementioned method embodiments.

[0102] This application provides a computer program product, including a computer program that, when executed by a processor, implements the methods described in any of the above embodiments. Compared with related technologies, this application integrates the construction plan corresponding to the current mixing stage, facilitating the connection between the construction plan and raw material management. Furthermore, by determining the corresponding mixing bins for each raw material to be mixed based on its individual quantity and amount, rather than randomly selecting any bin for mixing, the number of interruptions during mixing is reduced, thus improving the stability of the mixing process. After determining the corresponding mixing bins for each raw material, a personalized mixing warning value is set for each bin based on its raw material inventory and feeding rate. That is, potential risks are predicted based on the actual situation of each bin, and warnings are issued based on their respective mixing warning values. This facilitates timely detection and resolution of abnormal situations in the production and use of the mixed material, improving the accuracy and reliability of warnings, reducing false alarms and missed alarms, and thus mitigating the impact of imbalanced mixing ratios on construction quality.

[0103] It should be understood that although the steps in the flowcharts of the accompanying figures are shown sequentially as indicated by the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the accompanying figures may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the sub-steps or stages of other steps.

[0104] The above description is only a partial embodiment of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A method for monitoring the production and use of mixed materials at a digital construction site, characterized in that, include: Obtain at least one construction plan corresponding to the current mixing stage, and identify each raw material to be mixed and the amount to be mixed corresponding to each raw material in each construction plan; By integrating the at least one construction plan, the total amount to be mixed for each raw material to be mixed is obtained, and the mixing silo corresponding to the at least one construction plan is determined based on the total amount to be mixed for each raw material to be mixed. Identify the raw material inventory and feeding rate within a preset time period for each silo to be mixed; and determine the mixing warning value for each silo based on the raw material inventory and feeding rate. Based on the mixing warning value corresponding to each mixing silo, the actual inventory of each mixing silo is monitored, and the mixing silos that are lower than the corresponding mixing warning value are identified as abnormal silos, and a warning signal is generated based on the abnormal silos. This also includes: Based on the at least one construction plan, determine the similar historical mixing stage corresponding to the current mixing stage and the similar historical mixing record corresponding to the similar historical mixing stage from the historical mixing database; Based on the similar historical mixing records, the discharge rate threshold for each hopper to be mixed is determined, and the actual discharge rate of each hopper to be mixed during the current mixing stage is recorded; The silos to be mixed that have an actual feeding rate higher than the corresponding feeding rate threshold are identified as abnormal silos, and the corresponding actual construction images are determined based on the abnormal silos. Based on the historical mixed database, the standard construction image corresponding to the abnormal silo is determined, and the actual construction image is compared with the standard construction image to determine whether there is a difference in construction. If so, then the abnormal silo and the differential construction should be reported back; This also includes: If the warning signal corresponding to the abnormal silo is not eliminated within the preset response period, the replenishment waiting period is determined based on the abnormal processing queue. After the warning signal is generated, multiple warning signals are sorted according to the generation time of each warning signal to obtain the abnormal processing queue. If the warning signal in the abnormal processing queue is not responded to within the preset response period, the replenishment waiting period of the unresponsive warning signal is predicted based on the position of the unresponsive warning signal in the abnormal processing queue and the processing time of the warning signal before the unresponsive warning signal. The replenishment waiting period is determined based on the current time and the replenishment waiting period. Based on the feeding rate of the abnormal silo, the first predicted mixing amount of the abnormal silo corresponding to the replenishment waiting period is determined; Based on the abnormal silo, at least one initial associated silo is determined, and based on the predicted mixing amount and the second predicted mixing amount corresponding to each initial associated silo during the replenishment waiting period, it is determined whether the at least one initial associated silo contains a target associated silo, wherein the remaining inventory of the target associated silo is higher than the sum of the first predicted mixing amount and the corresponding second predicted mixing amount.

2. The method for monitoring the production and use of mixed materials at a digital construction site according to claim 1, characterized in that, Also includes: Obtain the actual feeding record of the material to be mixed silo during the feeding process, and simulate a virtual feeding image of the material to be mixed silo during the feeding process based on the actual feeding record; Obtain an image of the actual mixing plant corresponding to the silo to be mixed, the image of the actual mixing plant including the mixing time and mixing volume; The virtual material feeding image and the actual mixing plant image are bound together to form a mixing display image; Once a visitor is detected triggering the display area, the stirring image will be displayed.

3. The method for monitoring the production and use of mixed materials at a digital construction site according to claim 1, characterized in that, Also includes: When a raw material display requirement is detected, the requirement feature information in the raw material display requirement is identified. The requirement feature information includes the display stage and the raw materials to be displayed. The raw materials to be displayed include fly ash, sand, gravel, water, cement, admixtures, and fine aggregate powder. Based on the demand feature information, determine the raw material consumption resource line corresponding to each display raw material in the raw material display demand, generate a raw material consumption chart based on the raw material consumption resource line of each display raw material, and feed back the raw material consumption chart. The raw material consumption resource line can represent the consumption amount of the display raw material during the display stage.

4. The method for monitoring the production and use of mixed materials at a digital construction site according to claim 3, characterized in that, Also includes: The raw material consumption visualization is divided based on a preset time period to obtain at least two initial partitions. Each initial partition contains a partial raw material resource line corresponding to each displayed raw material. Identify the consumption trend of each part of the raw material resource line in each initial partition, and based on the consumption trend of each part of the raw material resource line, determine whether there is a target partition in the at least two initial partitions, wherein the consumption trend of each part of the raw material resource line in the target partition is the same; If so, the construction result image is determined based on the raw material resource lines of each part in the target partition, and the construction result image is superimposed on the target partition to obtain the final raw material consumption view.

5. A monitoring system, characterized in that, The monitoring system includes: At least one processor; Memory; At least one application, wherein the at least one application is stored in memory and configured to be executed by at least one processor, the at least one application being configured to: perform a digital site mixture production and use monitoring method according to any one of claims 1-4.

6. A computer-readable storage medium, characterized in that, include: The computer program is stored and can be loaded by a processor and executed as described in any one of claims 1-4, which is a method for monitoring the production of digital construction site mixtures.

7. A computer program product, characterized in that, The method includes a computer program that, when executed by a processor, implements the steps of a digital construction site mixture production and monitoring method according to any one of claims 1-4.

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