Intelligent micro-curing system for concrete test blocks

Abstract

The invention provides an intelligent micro-maintenance system for concrete test blocks, which comprises a drawer type storage cabinet, an intelligent transportation robot and a maintenance subsystem, the maintenance subsystem comprises an intelligent control module, the drawer type storage cabinet performs three-dimensional modeling, real-time maintenance monitoring and calculation to obtain a target temperature parameter and a target humidity parameter; the automatic digital recording module is used for binding test block native information and automatically recording process information; the intelligent transportation module is used for carrying out intelligent identification, safe grabbing, carrying and intelligent putting of the test blocks by utilizing an intelligent transportation robot; the remote supervision module is used for performing data mapping at the background and performing visual display at the front end to calculate the optimal operation scheme of the equipment; and the credible tracing module constructs and links a multi-primary-key database table and a whole-process individual file. The maintenance environment consistency can be greatly improved, full-link unmanned management and digital recording are realized, the traditional labor burden and misoperation risk are greatly reduced, the equipment energy consumption is optimized, and the cost is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of concrete test block curing, and in particular to an intelligent micro-curing system for concrete test blocks. Background Art

[0002] Concrete is currently the most widely used structural material in construction projects. Its quality directly determines the safety of the main building structure and the entire building. The main quality indicator of concrete is "compressive strength." Conventionally, concrete from the construction site is prepared into standard concrete specimens, measuring 150mm x 150mm x 150mm cubes. The concrete specimens are then cured in a specified curing environment until a certain age. Compressive strength tests are then performed on the concrete specimens using a pressure testing machine, and the compressive strength of the concrete is assessed based on the test data.

[0003] In actual working conditions, concrete specimens are typically sampled and prepared at the construction site. According to technical specifications, these specimens must be cured in a standard curing environment with a temperature of 20±2°C and a relative humidity of ≥95%. These strict curing conditions are often difficult to meet on construction sites. Furthermore, there are also uncertainties at construction sites, which can easily lead to non-standard curing environments for concrete specimens and suboptimal curing results. Consequently, it's impossible to obtain accurate test data, and thus, it's difficult to guarantee project quality.

[0004] Currently, concrete specimens prepared on-site are delivered to a large, enclosed curing room at a specialized testing facility under the supervision of a project supervisor within a specified timeframe for centralized standard curing and subsequent pressure testing. These rooms are equipped with specialized temperature and humidity control equipment to maintain the ambient temperature and humidity within standard ranges. Numerous concrete specimens from different batches at various construction sites often coexist within the same large curing room at a single testing facility. Because the entry and exit times of individual batches of concrete specimens from the large curing room are not synchronized and require manual handling, the sealed door of the curing room must be frequently opened and closed. This process alters the temperature and humidity within the large curing room, disrupting the standard curing environment. Consequently, some concrete specimens may not receive the standard curing period, making it difficult to obtain accurate data during compressive strength testing, thus affecting the accurate assessment of compressive strength. Furthermore, in existing technologies, curing and cured concrete specimens are mostly sorted and transported manually. This process not only has a low degree of automation and low work efficiency, but also places a high workload on workers. Furthermore, there is a risk of damage to the concrete specimens themselves during transport. Therefore, there is an urgent need to improve the intelligence level of each link in concrete specimen curing, transportation, and inspection to ensure accurate compressive strength test data of concrete specimens, effectively reduce the energy required for curing, and reduce manual labor intensity. Summary of the Invention

[0005] In order to overcome the shortcomings of the existing technology, the purpose of the present invention is to provide an intelligent micro-curing system for concrete specimens, which can greatly improve the consistency of the curing environment, realize unmanned management and digital recording of the entire link, greatly reduce the burden of traditional manual labor and the risk of misoperation, and optimize equipment energy consumption, reducing long-term operation and maintenance and operating costs.

[0006] To achieve the above objectives, the present invention provides the following solution: an intelligent micro-curing system for concrete test blocks, comprising a drawer-type storage cabinet composed of multiple micro-curing units, an intelligent transport robot wirelessly connected to the drawer-type storage cabinet, and a curing subsystem wirelessly connected to the drawer-type storage cabinet and the intelligent transport robot, wherein the curing subsystem comprises: An intelligent control module is used to perform three-dimensional modeling of the drawer-type storage cabinet for real-time maintenance monitoring, and calculate target temperature parameters and target humidity parameters using a local MCU and PID hierarchical control algorithm; The automated digital recording module is used to bind the original information of each set of test blocks and automatically record the test blocks' storage and outgoing, spatial location, curing status, curing environment and handling process information. Intelligent transport module, used to select and configure intelligent transport robots, generate a list of tasks to be transported, and perform intelligent identification, safe grasping, transporting, and intelligent delivery of test blocks according to the list of tasks to be transported; The remote monitoring module is used to perform data mapping in the background to achieve a virtual-real combination of the maintenance process, and to visualize the entire maintenance process and equipment status at the front end for remote monitoring. It then performs energy consumption optimization calculations on the drawer-type storage cabinet to obtain the optimal operation plan for the equipment; A trusted traceability module is used to construct a multi-primary key database table and a full-process individual archive, and upload the multi-primary key database table and the full-process individual archive to a consortium chain or a private chain for storage and compliance certification; The intelligent control module, the automated digital recording module, the intelligent transportation module, the remote supervision module and the trusted tracing module are interconnected.

[0007] Optionally, the micro-maintenance unit is configured as a drawer-type structure, and the micro-maintenance unit is used to maintain 3-5 groups of test blocks. The spacing between the test blocks and the spacing between the test blocks and the side walls of the micro-maintenance unit are both greater than 10 mm. The interior of the micro-maintenance unit is provided with a temperature and humidity sensor, an auxiliary sensor, and an environmental control component. The four walls, top, and bottom of the micro-maintenance unit are provided with standard M4 nut columns and quick-release slots, and the back of the micro-maintenance unit is provided with a power-signal standard quick-plug female socket.

[0008] Optionally, the auxiliary sensor includes a CO2 sensor and a volatile gas sensor, and the environmental control component includes a piezoelectric ceramic micro-atomization sheet for adjusting humidity and an ultra-thin semiconductor cooling-heating sheet and a thermally conductive aluminum sheet for adjusting temperature.

[0009] Optionally, the intelligent control module includes: A partition sensing unit is used to perform three-dimensional modeling of the drawer-type storage cabinet and, based on the temperature and humidity sensors, perform temperature and humidity field simulation analysis on the internal space of each micro-maintenance unit to obtain typical dead corners and airflow distribution. The three-dimensional modeling is combined with the typical dead corners and airflow distribution to obtain a visual maintenance three-dimensional model for maintenance monitoring; A control architecture unit, configured to configure a local MCU for each micro-maintenance unit to collect sensor data, drive actuators, and run local control algorithms; The PID hierarchical control unit is used to use a PID controller to calculate the initial temperature target and the initial humidity target respectively, and then use a PID hierarchical control algorithm to optimize and adjust the initial temperature target and the initial humidity target respectively to obtain target temperature parameters and target humidity parameters.

[0010] Optionally, the PID hierarchical control unit includes: The basic PID control subunit is used to perform closed-loop control of temperature and humidity using a PID controller to obtain an initial temperature target and an initial humidity target; The fuzzy adjustment subunit is used to introduce fuzzy logic to adjust the PID gain coefficient based on the initial temperature target and the initial humidity target to obtain a fuzzy adjustment value, and then introduce feedforward correction to perform temperature and humidity coordinated feedforward compensation to obtain target temperature parameters and target humidity parameters. The calculation expression of the temperature and humidity coordinated feedforward compensation is:

[0011] in, Output instructions for the actual atomizer, It is the main output of humidity closed loop. is the feedforward sensitivity coefficient, is the target temperature, is the actual average temperature.

[0012] Optionally, the automated digital recording module includes: The sample binding unit is used to attach RFID tags containing the test block's native information to the surface of each set of test blocks. A short-range RFID reader / writer connected to the local MCU is deployed in the micro-curing unit to read and write the test block's native information. A direction discrimination algorithm is introduced into the short-range RFID reader / writer to capture the test block's entry and exit signals in real time. The test block's native information includes the test block ID, sample production batch, engineering code, and target test batch. The process automation unit is used to bind the test block to its spatial location when it enters the warehouse and mark it as being cured. When the test block leaves the warehouse, it is unbound from its spatial location and marked as uncured. It then binds each operation record of the test block and the operator to obtain the triple binding information of sample, space, and operation. An environmental correlation unit is used to obtain environmental perception data using temperature and humidity sensors, synchronize the environmental perception data to a cloud database, and automatically generate an environmental curve associated with the test block; The automatic transport unit is used to transport the test blocks using the intelligent transport robot, and an RFID reader is deployed on the intelligent transport robot to perform test block identity verification during the storage and transportation operations and the transportation process, and to record the test block transportation process in real time.

[0013] Optionally, the intelligent transportation module includes: A transport architecture unit, which is used to select an automated guided vehicle or a rail robot as an intelligent transport robot according to the laboratory environment, and configure the intelligent transport robot with a six-degree-of-freedom robotic arm, a camera, multiple RFID reader groups, and a safety lidar; An intelligent identification unit is used to generate a list of tasks to be transported according to the maintenance and experimental progress. According to the list of tasks to be transported, the intelligent transport robot automatically arrives at the designated micro-maintenance unit to perform test block verification and outbound operations; The safe transport unit is used to safely grab, transport and automatically deliver the test blocks through the intelligent transport robot.

[0014] Optionally, the safe transport unit includes: An adaptive gripping subunit, configured to adjust the gripping force of the six-degree-of-freedom robotic arm by combining camera recognition information and RFID data to perform real-time gripping of the test block; The transport path subunit is used to automatically select the optimal transport path using the A or Dijkstra algorithm, and perform dynamic obstacle avoidance and path optimization based on real-time road conditions; The task scheduling subunit is used to adjust the priorities of the multiple transport tasks in the to-be-transported task list according to the multi-task scheduling strategy to obtain a transport task queue; the calculation expression of the multi-task scheduling strategy is:

[0015] in, is the normalized value of the task queue waiting time, is the normalized value of the distance from the end point, is the normalized value of the task urgency coefficient, Both are dynamic weight factors.

[0016] Optionally, the remote supervision module includes: A data mapping unit is used to dynamically map the micro-maintenance unit number, environmental information, test block RFID, test block maintenance status, intelligent transport robot status, and handling task queue to a real physical scene in combination with the visual maintenance 3D model. The unit also uses web components to perform dual display of static and dynamic layers in the background to achieve virtual-real integration. Furthermore, the unit issues environmental setting instructions to the micro-maintenance unit via the web or app for real-time environmental adjustment feedback. A multi-window interactive unit is used to visualize the temperature and humidity curves of each micro-curing unit, the specimen storage, handling, and curing timeline, the equipment health status, the optimal transportation route, and a dynamic diagram of the handling task queue on the front end for remote monitoring; The health management unit is used to perform periodic self-tests and health scoring of the drawer-type storage cabinet, and to perform energy consumption decomposition and optimization to obtain the optimal operation plan for the equipment; the calculation expression for the energy consumption decomposition and optimization is:

[0017] in, To control energy consumption of the maintenance unit, is the standby power consumption, For the loss part.

[0018] Optionally, the trusted tracing module includes: The data access unit is used to build a multi-primary key database table with the structure of test block ID-batch-spatial location-timestamp-operation type-environmental parameters-operator, and uses time series and event stream dual indexes to complete the structured storage of data streams; A digital archive unit is used to build a full-process individual archive for each test block, which supports one-click retrieval and statistical and report generation; The on-chain traceability unit is used to upload the multi-primary key structure table and the full-process individual archive to the alliance chain or private chain for storage and compliance certification.

[0019] The present invention provides an intelligent micro-curing system for concrete test blocks, which has the following technical effects: 1. Stable maintenance quality: Through the design of a drawer-type storage cabinet, 1) its drawer-type structure, modular design, quick-release card slots and standard sockets enable independent control of each group of test blocks and small-batch fine maintenance; 2) Unit replacement and expansion are flexible, easy to maintain, and the system is easy to expand; 3) The micro-curing unit is equipped with temperature, humidity and multiple types of sensors. Spatial three-dimensional modeling and simulation analysis of dead corners and airflow distribution can simulate and optimize the spatial structure and air duct design within the cabinet to ensure uniform airflow, further optimizing the uniformity of spatial temperature and humidity distribution; 4) The gap between the internal test blocks and the unit wall is optimized. At the same time, through the environmental control components, the temperature and humidity environment can be precisely adjusted and data collection is complete.

[0020] 2. High Transportation Efficiency: The intelligent transport robot is designed with real-time path planning, task scheduling, and adaptive grasping capabilities. This enables automated and precise handling, improving specimen transfer and experimental efficiency while reducing manual operation and safety risks. It also supports dynamic obstacle avoidance and optimal path selection in mixed environmental scenarios, significantly improving operational efficiency.

[0021] 3. Refined Dynamic Control of Temperature and Humidity: 1) Through zoned PID, local MCU distributed control, and a PID + fuzzy logic collaborative feedforward compensation algorithm, it intelligently compensates for interference in complex spaces, improves environmental consistency, and ensures maintenance quality and repeatability. 2) Through a virtual-reality fusion 3D visualization platform, multi-window interaction, and energy optimization, it enables real-time, remote, integrated monitoring of maintenance, handling, environment, and equipment status across the space, enabling efficient early warning and decision-making.

[0022] 4. Traceability of the Maintenance Cycle: 1) Through triple digital binding of sample, space, and operator, and automated recording of the entire process, the entire maintenance process is traceable and retrievable, eliminating chaotic test block management and information silos. 2) RFID identification and direction recognition algorithms automatically link maintenance environment parameters, operating procedures, and handling information, facilitating subsequent quality traceability. 3) Through a multi-primary key table structure and compliant inclusion of individual files throughout the entire process, data is guaranteed to be tamper-proof and traceable, meeting industry compliance requirements and accident tracing. This supports automated reporting across multiple scenarios, supporting big data analysis and quality improvement.

[0023] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0025] Figure 1 A schematic diagram of the system architecture provided by an embodiment of the present invention; Figure 2 A schematic diagram of the structure of a drawer-type storage cabinet provided in an embodiment of the present invention; Figure 3 A schematic diagram of the maintenance subsystem architecture provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0026] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0027] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0028] like Figure 1 As shown, the present invention provides an intelligent micro-curing system for concrete test blocks, including a drawer-type storage cabinet composed of multiple micro-curing units, an intelligent transport robot wirelessly connected to the drawer-type storage cabinet, and a curing subsystem wirelessly connected to the drawer-type storage cabinet and the intelligent transport robot.

[0029] The micro-maintenance unit is configured as a drawer-type structure and is used to maintain 3-5 groups of test blocks. The spacing between the test blocks and the spacing between the test blocks and the side walls of the micro-maintenance unit are both greater than 10 mm. The interior of the micro-maintenance unit is equipped with a temperature and humidity sensor, an auxiliary sensor, and an environmental control component. The four walls, top, and bottom of the micro-maintenance unit are all equipped with standard M4 nut columns and quick-release slots. The back of the micro-maintenance unit is equipped with a power-signal standard quick-plug female socket.

[0030] Overall Structure: The entire cabinet is constructed of honeycomb sandwich panels, metal, or composite materials, with built-in insulation and stress-distribution layers, achieving a balance of lightweight and high rigidity. For example, the frame structure's floor and walls are constructed of XPS extruded polystyrene insulation boards, while the top is constructed of insulated, flexible panels with a zipper-type opening. Quick-release slots are located on the walls, top, and bottom.

[0031] like Figure 2 As shown, the standardized design: such as 4 rows and 5 columns of 20 drawers, the unit external dimensions are uniform, such as 600×400×200mm, which is convenient for batch manufacturing and subsequent expansion, flexible and convenient.

[0032] Modules are easy to disassemble and assemble: drawers use quick-insert slides and plug-in locking devices. One person can replace or maintain the unit at any time, and all modules are spare parts for each other.

[0033] The auxiliary sensors include a CO2 sensor and a volatile gas sensor. The environmental control components include a piezoelectric ceramic micro-atomizer for humidity control, and an ultra-thin semiconductor cooling and heating element and a thermally conductive aluminum sheet for temperature control. SMD packaging for temperature, humidity, and CO2 sensor modules is used to achieve an integrated, compact PCB layout.

[0034] in: 1) Piezoelectric ceramic micro-atomizer High-frequency vibration breaks water into micron-sized droplets, which diffuse into the air to increase humidity. The amount of atomization can be varied by controlling its operating power, such as the PWM duty cycle. The higher the power, the greater the humidification per unit time.

[0035] 2) Ultra-thin semiconductor heating sheet By switching the direction of the current, the device achieves cooling (heat absorption on the cold side) or heating (heat release on the hot side), directly regulating the ambient temperature. The cooling or heating power is controlled by varying the current magnitude or PWM duty cycle. Higher currents increase the power and accelerate the rate of temperature change.

[0036] The ultra-thin semiconductor cooling and heating sheet is a Peltier element. Its temperature regulation ability is mainly determined by its cooling and heating power, working environment and space size. The thermal conductive aluminum sheet only enhances the heat transfer efficiency and does not directly change the regulation range.

[0037] Typical regulation range: For small, enclosed spaces, heating mode can typically raise the temperature from ambient temperature (e.g., 10°C) to 40-60°C (depending on power). For example, a 5V / 3A ultra-thin Peltier element with a power of approximately 15W can heat the room from 20°C to around 50°C.

[0038] Cooling mode: Generally, the temperature can be reduced from the ambient temperature (such as 30°C) to 5-15°C, which is 15-25°C lower than the ambient temperature. For example, when the ambient temperature of the same specification component is 30°C, the cooling mode can reduce the temperature to 10-15°C.

[0039] 3) Thermally conductive aluminum sheet As a heat transfer medium, it increases the heat dissipation or absorption area of ​​the semiconductor heating plate, improves the temperature regulation efficiency and uniformity, and avoids excessive local temperature differences. It is attached to the hot and cold surfaces of the semiconductor cooling and heating plate to enhance heat transfer.

[0040] Piezoelectric ceramic micro-atomizers, ultra-thin semiconductor cooling and heating sheets, and thermally conductive aluminum sheets need to be used in conjunction with temperature and humidity sensors to collect environmental data in real time, forming a closed-loop system of "sensor → controller → actuator". For example: Temperature Control: Stabilizes the ambient temperature at the set value. If the current temperature is less than the target temperature, the semiconductor cooling and heating element switches to heating mode, releasing heat to the environment through the thermally conductive aluminum sheet, and the power is dynamically adjusted according to the temperature difference. If the current temperature is greater than the target temperature, it switches to cooling mode, absorbing heat from the environment through the thermally conductive aluminum sheet, and the power is dynamically adjusted according to the temperature difference.

[0041] Humidity Control: Stabilizes the ambient humidity at the set value. If the current humidity is less than the target humidity, the piezoelectric ceramic micro-atomizer is activated, and the humidification rate is controlled by adjusting the power, such as the PWM duty cycle. If the current humidity is greater than the target humidity, atomization stops.

[0042] like Figure 3 As shown, the maintenance subsystem includes an interconnected intelligent control module, an automated digital recording module, an intelligent transportation module, a remote monitoring module, and a trusted traceability module: 1. An intelligent control module, configured to perform three-dimensional modeling of the drawer-type storage cabinet for real-time maintenance monitoring and calculate target temperature and humidity parameters using a local MCU and PID hierarchical control algorithm; the intelligent control module includes: 1.1 Partition Perception Unit It is used to perform three-dimensional modeling of the drawer-type storage cabinet, and based on the temperature and humidity sensors, perform temperature and humidity field simulation analysis on the internal space of each micro-maintenance unit to obtain typical dead corners and airflow distribution. The three-dimensional modeling is combined with the typical dead corners and airflow distribution to obtain a visual maintenance three-dimensional model for maintenance monitoring.

[0043] 1.2 Control Architecture Unit Used to configure a local MCU for each of the micro-maintenance units to collect sensor data, drive actuators and run local control algorithms.

[0044] Data channel: supports multi-channel acquisition (drawer center, 5-point temperature and humidity at four corners, CO2, etc.) and multi-channel PWM / DA / GPIO output (control of cooling / heating plate, atomizer plate, fan, etc.).

[0045] Independent parameter setting: local setting of temperature and humidity targets for each drawer, such as T set =20℃ 、 H set =95%, and can also be sent in batches through the host computer to meet the needs of multiple targets in one cabinet.

[0046] 1.3PID hierarchical control unit The PID controller is used to calculate the initial temperature target and the initial humidity target respectively, and then use the PID hierarchical control algorithm to optimize and adjust the initial temperature target and the initial humidity target respectively to obtain the target temperature parameter and the target humidity parameter. The PID hierarchical control unit includes: 1.3.1 Basic PID Control Subunit It is used to perform closed-loop control of temperature and humidity using a PID controller to obtain an initial temperature target and an initial humidity target.

[0047] 1.3.2 Fuzzy Adjustment Subunit Based on the initial temperature target and the initial humidity target, fuzzy logic is introduced to adjust the PID gain coefficient to obtain a fuzzy adjustment value to overcome micro-space nonlinearity, small fluctuations in environmental interference, and actuator hysteresis. Feedforward correction is then introduced to perform temperature and humidity coordinated feedforward compensation to obtain target temperature parameters and target humidity parameters; the calculation expression for the temperature and humidity coordinated feedforward compensation is:

[0048] in, Output instructions for the actual atomizer, It is the main output of humidity closed loop. is the feedforward sensitivity coefficient, is the target temperature, is the actual average temperature.

[0049] 2. Automated digital recording module, used to bind the original information of each group of test blocks and automatically record the test blocks' storage and outgoing, spatial location, curing status, curing environment, and handling process information. The automated digital recording module includes: 2.1 Sample Binding Unit RFID tags containing native test block information are attached to the surface of each set of test blocks. A short-range RFID reader / writer, connected to the local MCU, is deployed in the micro-curing unit to read and write this native test block information. A direction discrimination algorithm is introduced into the short-range RFID reader / writer to capture the test block entry and exit signals in real time. This native test block information includes the test block ID, sample production batch, engineering code, and target test batch.

[0050] 2.2 Process Automation Unit When a test block is inserted or removed, the RFID reader automatically reads and identifies the current tag and drawer number. The system automatically sets a three-way association in the local and cloud databases: test block ID, drawer number, and timestamp.

[0051] When the test block is put into storage, it is bound to the test block space location and marked as under maintenance. When the test block is taken out of storage, it is unbound from the test block space location and marked as unmaintained. Then, each operation record of the test block and the operator are bound to obtain the triple binding information of sample, space and operation.

[0052] 2.3 Environmental Related Units It is used to obtain environmental perception data using temperature and humidity sensors, synchronize the environmental perception data to the cloud database, and automatically generate an environmental curve associated with the test block, including temperature, humidity, and CO2.

[0053] 2.4 Automatic transport unit It is used to transport test blocks using the intelligent transport robot, and an RFID reader is deployed on the intelligent transport robot to perform test block identity verification during storage and outbound operations and the transportation process, and to record the test block transportation process in real time, that is, automatically record the process of leaving the cabinet - transfer - arrival, and seamlessly connect maintenance, transportation, and experiments.

[0054] 3. Intelligent transport module, used to select and configure intelligent transport robots, generate a list of tasks to be transported, and perform intelligent identification, safe grasping, transporting, and intelligent delivery of test blocks based on the list of tasks to be transported; the intelligent transport module includes: 3.1 Transport Architecture Unit It is used to select an automatic guided vehicle or a rail robot as an intelligent transport robot according to the laboratory environment, and configure the intelligent transport robot with a six-degree-of-freedom robotic arm, a high-resolution camera, multiple groups of RFID readers and a safety lidar.

[0055] 3.2 Intelligent Identification Unit It is used to generate a list of tasks to be transported according to the maintenance and experimental progress. According to the list of tasks to be transported, the intelligent transport robot automatically arrives at the designated micro-maintenance unit to perform test block verification and outbound operations.

[0056] Test block verification: such as digital double comparison: scan the RFID once before grabbing the test block, and scan it a second time when it is taken out of the drawer. If the match is successful, the transportation is confirmed; otherwise, an alarm is issued to prevent accidental removal, and the logic loop is closed.

[0057] 3.3 Safe handling unit The intelligent transport robot is used to safely grab, transport and automatically place test blocks. The safe transport unit includes: 3.3.1 Adaptive Grasping Subunit It is used to combine camera recognition information and RFID data to adjust the clamping force of the six-degree-of-freedom robotic arm and perform real-time grasping of the test block.

[0058] 3.3.2 Transport Path Subunit It is used to automatically select the optimal transportation path using A or Dijkstra algorithm, and perform dynamic obstacle avoidance and path optimization based on real-time road conditions.

[0059] 3.3.3 Task Scheduling Subunit It is used to adjust the priorities of multiple transport tasks in the to-be-transported task list according to a multi-task scheduling strategy to obtain a transport task queue; the calculation expression of the multi-task scheduling strategy is:

[0060] in, is the normalized value of the task queue waiting time, is the normalized value of the distance from the end point, is the normalized value of the task urgency coefficient, Both are dynamic weight factors.

[0061] Test block placement: When arriving at a new drawer or testing machine station, the RFID scan is performed again to confirm the target position and accurately place it at the designated bracket point.

[0062] Return operation: When the test is completed, the test block is automatically moved from the testing machine or buffer area to the designated drawer and the maintenance status is updated.

[0063] 4. A remote monitoring module is used to perform data mapping in the background to achieve a virtual-real integration of the maintenance process, and to visualize the entire maintenance process and equipment status in the front end for remote monitoring. It then performs energy consumption optimization calculations on the drawer-type storage cabinet to obtain the optimal equipment operation plan. The remote monitoring module includes: 4.1 Data Mapping Unit It is used to dynamically map the micro-maintenance unit number, environmental information, test block RFID, test block maintenance status, intelligent transport robot status and handling task queue to the real physical scene in combination with the visual maintenance 3D model, and use Web components to perform dual display of static and dynamic layers in the background to achieve virtual and real fusion, and then issue environmental setting instructions to the micro-maintenance unit through the Web or APP to provide real-time environmental adjustment feedback.

[0064] The essence of dynamic data mapping is to synchronize virtual information with the real physical scene through a closed loop of real-time data collection, model calculation, and scene feedback. The ultimate goal is to make the 3D model a computable mirror image of the real scene, providing a precise digital foundation for intelligent decision-making.

[0065] 4.2 Multi-window interaction unit It is used to visually display the temperature and humidity curves of each micro-maintenance unit, the test block storage-handling-maintenance timeline, the equipment health status, the optimal transportation route and the dynamic diagram of the transportation task queue on the front end for remote supervision.

[0066] 4.3 Health Management Unit It is used to perform periodic self-tests and health scores of the drawer-type storage cabinet, and to perform energy consumption decomposition and optimization to obtain the best operation plan for the equipment. The calculation expression for the energy consumption decomposition and optimization is:

[0067] in, To control energy consumption of the maintenance unit, is the standby power consumption, For the loss part.

[0068] 5. A trusted traceability module, which is used to construct a multi-primary key database table and a full-process individual archive, and upload the multi-primary key database table and the full-process individual archive to a consortium chain or a private chain for storage and compliance verification; the trusted traceability module includes: 5.1 Data Access Unit It is used to build a multi-primary key database table with the structure of test block ID-batch-spatial location-timestamp-operation type-environmental parameters-operator, and adopts dual indexes of time series and event stream to complete the structured storage of data stream; 5.2 Digital Archive Unit It is used to build an individual archive of the entire process for each test block, from factory entry to entry and exit maintenance, testing, transportation, and final archiving. The individual archive of the entire process supports one-click retrieval and statistics and report generation.

[0069] 5.3 On-chain traceability unit Used to upload the multi-key structure table and the full-process individual files to the alliance chain or private chain for storage and compliance certification. Also supports: Multi-role records: The system records the executor, device number, time node, etc. of each operation, and realizes digital signatures of multiple responsible persons and their respective permissions.

[0070] Automatic uploading of system anomalies: For important events such as temperature and humidity exceeding the limit, equipment failure, RFID anomaly, and conveyor vehicle jam, the system automatically triggers the event uploading, starts archiving the anomaly report file, and pushes it to the person in charge for processing.

[0071] Compliance certification docking: All maintenance and testing processes are archived in accordance with accredited standards such as CNAS, supporting third-party audits to directly read and verify on-chain data.

[0072] 6. Workflow The following operating procedures can be referred to: the front desk staff accepts the test sample → manually establishes the original information of the test block including the test block ID, sample production batch, engineering code and target test batch → test blocks of the same age are placed in the same micro-curing unit (same drawer), and all the original information of the test blocks are assigned to the curing unit → set the curing order to be delivered to the drawer-type storage cabinet by the intelligent transport robot within 30 minutes, and use the adaptive gripping mechanism to send the curing unit to a drawer micro-curing unit of the drawer-type storage cabinet → use the quick connector of the micro-curing unit to connect to temperature, humidity, power supply, signal, etc. → enter the standard curing period.

[0073] Personalized timing, temperature, and humidity control are initiated for each micro-curing unit (the same drawer). 12 hours before the end of standard curing, a notification message is sent to inform the intelligent transport robot and testing machine to wait.

[0074] When standard maintenance is completed, the intelligent transport robot is automatically notified to transport the micro-maintenance unit (the same drawer) to the testing machine for testing.

[0075] The native information of the test, including the test block ID, sample production batch, engineering code and target test batch, is set manually once by the front desk and used in all links.

[0076] The information in the same micro-curing unit (the same drawer) must be integrated with all test blocks in the same drawer and be under unified control.

[0077] Therefore, the present invention provides an intelligent micro-maintenance system for concrete test blocks, which can greatly improve the consistency of the maintenance environment, realize unmanned management and digital recording of the entire chain, greatly reduce the burden of traditional manual labor and the risk of misoperation, and optimize equipment energy consumption, reducing long-term operation and maintenance and operating costs.

[0078] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0079] This document uses specific examples to illustrate the principles and implementation methods of the present invention. The above examples are only intended to help understand the method and core concept of the present invention. At the same time, those skilled in the art will find that the specific implementation methods and application scopes may vary based on the concept of the present invention. In summary, the contents of this specification should not be construed as limiting the present invention.

Claims

1. An intelligent micro-curing system for concrete test blocks, characterized in that: It includes a drawer-type storage cabinet composed of multiple micro-maintenance units, an intelligent transport robot wirelessly connected to the drawer-type storage cabinet, and a maintenance subsystem wirelessly connected to the drawer-type storage cabinet and the intelligent transport robot, the maintenance subsystem including: An intelligent control module is used to perform three-dimensional modeling of the drawer-type storage cabinet for real-time maintenance monitoring, and calculate target temperature parameters and target humidity parameters using a local MCU and PID hierarchical control algorithm; The automated digital recording module is used to bind the original information of each set of test blocks and automatically record the test blocks' storage and outgoing, spatial location, curing status, curing environment and handling process information. Intelligent transport module, used to select and configure intelligent transport robots, generate a list of tasks to be transported, and perform intelligent identification, safe grasping, transporting, and intelligent delivery of test blocks according to the list of tasks to be transported; The remote monitoring module is used to perform data mapping in the background to achieve a virtual-real combination of the maintenance process, and to visualize the entire maintenance process and equipment status at the front end for remote monitoring. It then performs energy consumption optimization calculations on the drawer-type storage cabinet to obtain the optimal operation plan for the equipment; A trusted traceability module is used to construct a multi-primary key database table and a full-process individual archive, and upload the multi-primary key database table and the full-process individual archive to a consortium chain or a private chain for storage and compliance certification; The intelligent control module, the automated digital recording module, the intelligent transportation module, the remote supervision module and the trusted tracing module are interconnected.

2. The intelligent micro-curing system for concrete test blocks according to claim 1, characterized in that: The micro-maintenance unit is configured as a drawer-type structure and is used to maintain 3-5 groups of test blocks. The spacing between the test blocks and the spacing between the test blocks and the side walls of the micro-maintenance unit are both greater than 10 mm. The interior of the micro-maintenance unit is equipped with a temperature and humidity sensor, an auxiliary sensor, and an environmental control component. The four walls, top, and bottom of the micro-maintenance unit are all equipped with standard M4 nut columns and quick-release slots. The back of the micro-maintenance unit is equipped with a power-signal standard quick-plug female socket.

3. The intelligent micro-curing system for concrete test blocks according to claim 2, characterized in that: The auxiliary sensors include a CO2 sensor and a volatile gas sensor, and the environmental control component includes a piezoelectric ceramic micro-atomization sheet for adjusting humidity and an ultra-thin semiconductor cooling-heating sheet and a heat-conducting aluminum sheet for adjusting temperature.

4. The intelligent micro-curing system for concrete test blocks according to claim 3, characterized in that: The intelligent control module includes: A partition sensing unit is used to perform three-dimensional modeling of the drawer-type storage cabinet and, based on the temperature and humidity sensors, perform temperature and humidity field simulation analysis on the internal space of each micro-maintenance unit to obtain typical dead corners and airflow distribution. The three-dimensional modeling is combined with the typical dead corners and airflow distribution to obtain a visual maintenance three-dimensional model for maintenance monitoring; A control architecture unit, configured to configure a local MCU for each micro-maintenance unit to collect sensor data, drive actuators, and run local control algorithms; The PID hierarchical control unit is used to use a PID controller to calculate the initial temperature target and the initial humidity target respectively, and then use a PID hierarchical control algorithm to optimize and adjust the initial temperature target and the initial humidity target respectively to obtain target temperature parameters and target humidity parameters.

5. The intelligent micro-curing system for concrete test blocks according to claim 4, characterized in that: The PID hierarchical control unit includes: The basic PID control subunit is used to perform closed-loop control of temperature and humidity using a PID controller to obtain an initial temperature target and an initial humidity target; The fuzzy adjustment subunit is used to introduce fuzzy logic to adjust the PID gain coefficient based on the initial temperature target and the initial humidity target to obtain a fuzzy adjustment value, and then introduce feedforward correction to perform temperature and humidity coordinated feedforward compensation to obtain target temperature parameters and target humidity parameters. The calculation expression of the temperature and humidity coordinated feedforward compensation is: ； in, Output instructions for the actual atomizer, It is the main output of humidity closed loop. is the feedforward sensitivity coefficient, is the target temperature, is the actual average temperature.

6. The intelligent micro-curing system for concrete test blocks according to claim 5, characterized in that: The automated digital recording module includes: The sample binding unit is used to attach RFID tags containing the test block's native information to the surface of each set of test blocks. A short-range RFID reader / writer connected to the local MCU is deployed in the micro-curing unit to read and write the test block's native information. A direction discrimination algorithm is introduced into the short-range RFID reader / writer to capture the test block's entry and exit signals in real time. The test block's native information includes the test block ID, sample production batch, engineering code, and target test batch. The process automation unit is used to bind the test block to its spatial location when it enters the warehouse and mark it as being cured. When the test block leaves the warehouse, it is unbound from its spatial location and marked as uncured. It then binds each operation record of the test block and the operator to obtain the triple binding information of sample, space, and operation. An environmental correlation unit is used to obtain environmental perception data using temperature and humidity sensors, synchronize the environmental perception data to a cloud database, and automatically generate an environmental curve associated with the test block; The automatic transport unit is used to transport the test blocks using the intelligent transport robot, and an RFID reader is deployed on the intelligent transport robot to perform test block identity verification during the storage and transportation operations and the transportation process, and to record the test block transportation process in real time.

7. The intelligent micro-curing system for concrete test blocks according to claim 6, characterized in that: The intelligent transportation module includes: A transport architecture unit, which is used to select an automated guided vehicle or a rail robot as an intelligent transport robot according to the laboratory environment, and configure the intelligent transport robot with a six-degree-of-freedom robotic arm, a camera, multiple RFID reader groups, and a safety lidar; An intelligent identification unit is used to generate a list of tasks to be transported according to the maintenance and experimental progress. According to the list of tasks to be transported, the intelligent transport robot automatically arrives at the designated micro-maintenance unit to perform test block verification and outbound operations; The safe transport unit is used to safely grab, transport and automatically deliver the test blocks through the intelligent transport robot.

8. The intelligent micro-curing system for concrete test blocks according to claim 7, characterized in that: The safe handling unit comprises: An adaptive gripping subunit, configured to adjust the gripping force of the six-degree-of-freedom robotic arm by combining camera recognition information and RFID data to perform real-time gripping of the test block; The transport path subunit is used to automatically select the optimal transport path using the A or Dijkstra algorithm, and perform dynamic obstacle avoidance and path optimization based on real-time road conditions; The task scheduling subunit is used to adjust the priorities of the multiple transport tasks in the to-be-transported task list according to the multi-task scheduling strategy to obtain a transport task queue; the calculation expression of the multi-task scheduling strategy is: ； in, is the normalized value of the task queue waiting time, is the normalized value of the distance from the end point, is the normalized value of the task urgency coefficient, Both are dynamic weight factors.

9. The intelligent micro-curing system for concrete test blocks according to claim 8, characterized in that: The remote supervision module includes: A data mapping unit is used to dynamically map the micro-maintenance unit number, environmental information, test block RFID, test block maintenance status, intelligent transport robot status, and handling task queue to a real physical scene in combination with the visual maintenance 3D model. The unit also uses web components to perform dual display of static and dynamic layers in the background to achieve virtual-real integration. Furthermore, the unit issues environmental setting instructions to the micro-maintenance unit via the web or app for real-time environmental adjustment feedback. A multi-window interactive unit is used to visualize the temperature and humidity curves of each micro-curing unit, the specimen storage, handling, and curing timeline, the equipment health status, the optimal transportation route, and a dynamic diagram of the handling task queue on the front end for remote monitoring; The health management unit is used to perform periodic self-tests and health scoring of the drawer-type storage cabinet, and to perform energy consumption decomposition and optimization to obtain the optimal operation plan for the equipment; the calculation expression for the energy consumption decomposition and optimization is: ； in, To control energy consumption of the maintenance unit, is the standby power consumption, For the loss part.

10. The intelligent micro-curing system for concrete test blocks according to claim 9, characterized in that: The trusted traceability module includes: The data access unit is used to build a multi-primary key database table with the structure of test block ID-batch-spatial location-timestamp-operation type-environmental parameters-operator, and uses time series and event stream dual indexes to complete the structured storage of data streams; A digital archive unit is used to build a full-process individual archive for each test block, which supports one-click retrieval and statistical and report generation; The on-chain traceability unit is used to upload the multi-primary key database table and the full-process individual archive to the alliance chain or private chain for storage and compliance certification.

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