Intelligent temperature control system and method for layered pouring of concrete in sewage treatment plant

Abstract

The invention discloses a sewage treatment plant concrete layered pouring intelligent temperature control system and method, and relates to the technical field of sewage treatment plant concrete pouring, the system comprises four core modules, and concrete pouring full-period intelligent temperature control and MFC unit optimization management are realized. The MFC unit layout planning module adopts a main-auxiliary combined scheme, a main unit is arranged in an S shape along a cooling pipeline, and an auxiliary unit strengthens stress concentration area coverage. The dynamic temperature regulation and control trigger module acquires data such as inner surface temperature difference and temperature change rate regularly, and compares the data with a standard interval to judge a high / low temperature regulation and control trigger state. The dynamic regulation and control scheme analysis module is used for adjusting the substrate concentration and the electrogenesis bacterium ratio according to a high-temperature scene; and a low-temperature scene optimizes the ratio of metabolic heat-stable bacteria. The later optimization module monitors the hydration reaction completeness rate through a high-frequency resistivity sensor, the main MFC unit is adjusted to a low-load mode, the auxiliary unit is shut down, and dual guarantee of energy efficiency and structural safety is achieved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of sewage treatment plant concrete pouring, in particular to a sewage treatment plant concrete layered pouring intelligent temperature control system and method. BACKGROUND

[0002] In the existing sewage treatment plant supporting building concrete construction, the traditional temperature control system generally has the problems of lack of temperature control accuracy and real-time performance. It is difficult to cope with temperature fluctuations caused by external meteorological mutations and construction adjustments relying on fixed parameter regulation. Artificial monitoring lags behind, which easily leads to crack risk or energy waste. At the same time, the resource utilization rate is low, and it is difficult to recycle according to the resource advantages of the sewage treatment plant itself. Therefore, a sewage treatment plant concrete layered pouring intelligent temperature control system and method are needed.

[0003] The prior art, such as the invention patent application with the announcement number CN115897589A, discloses a buried sewage treatment plant waterproof concrete interval pouring construction method, which belongs to the technical field of concrete pouring. The method is realized through five steps of slab division pouring, positioning and laying out, steel bar binding and reinforcement, formwork setting, and concrete pouring. The method effectively solves the pouring sequence of super-long concrete structure, reasonably arranges the construction, and speeds up the construction progress. In the present application, the interval pouring construction technology is adopted for crack control, the treatment work of the post-pouring band is cancelled, the construction procedure is simplified, and the construction progress can be greatly accelerated. The interval pouring method of concrete can form an integral structure as soon as possible, avoid long-time exposure of the foundation pit, backfill the surrounding foundation pit as soon as possible, effectively transmit the horizontal force from the enclosure structure, and reduce the displacement of the supporting structure.

[0004] For the above-mentioned scheme, the present application applicant found that the above-mentioned technology at least has the following technical problems: 1. The traditional temperature control system mostly relies on experience parameters or fixed control mode, and it is difficult to make dynamic adjustment according to the real-time temperature field change of concrete. For example, in the common scheme of pre-embedded circulating condensation pipe, the water inlet temperature and flow rate of the cooling medium are usually preset, and there is a lack of accurate prediction ability of the internal temperature field of concrete. When the external meteorological conditions suddenly change, such as sudden high temperature in summer or strong cooling in winter, or the concrete covering measure is adjusted, the existing system cannot timely perceive and adaptively regulate the temperature control parameters. This easily leads to insufficient cooling, which makes the internal temperature of concrete continuously rise and increases the crack risk; or excessive cooling, which causes energy waste, and in the extreme environment with large temperature difference or low temperature, the regulation effect is more difficult to guarantee. At the same time, the traditional artificial monitoring method has serious lag, and it is difficult to timely intervene and adjust in the early stage of temperature abnormality.

[0005] 2. Traditional technologies for temperature control generally suffer from resource waste. Taking cooling water piping systems as an example, cooling water is often used only once. After being replenished from the water tank, it flows through the cooling water pipes and is discharged directly at the other end without being recycled. This is particularly disadvantageous in water-scarce regions. Furthermore, traditional maintenance methods rely heavily on water resources and manpower. In high or low temperature environments, additional heating or cooling equipment is required, resulting in energy costs accounting for 15%-20% of the total construction cost. Simultaneously, existing MFC unit layouts lack refined design and fail to fully consider the characteristics of concrete structures and the differences in temperature control requirements, making it impossible to achieve on-demand energy allocation. Substrate consumption and energy consumption are in a state of high redundancy.

[0006] 3. Existing temperature control systems suffer from low intelligence, incomplete data collection, and reliance on manual data acquisition. Key data such as concrete temperature and cooling water temperature require manual adjustment based on experience, making operation cumbersome and complex. In large-volume concrete construction, although some systems use automatic timed temperature monitors to record temperature data, manual data processing, analysis of temperature control indicators, and guidance for on-site construction are still necessary. This not only increases workload but also fails to provide real-time and accurate responses. Regarding MFC unit management, there is a lack of dynamic optimization strategies based on key indicators such as concrete hydration progress. The systems cannot intelligently adjust operating parameters or shut down redundant units according to the actual needs of different stages, making it difficult to meet the requirements of high-quality, rapid construction and green operation and maintenance in modern engineering.

[0007] 4. Traditional wastewater treatment plant supporting buildings, facing complex layered cast-in-place structures, struggle to meet the differentiated temperature control requirements of different structural parts. During winter construction, they cannot efficiently optimize the microbial metabolic heat recovery coefficient to improve heat utilization; during summer construction, they lack a coupled regulation mechanism of "substrate flow rate - ambient temperature and humidity," making it difficult to cope with the complex control scenarios brought about by seasonal temperature differences. Furthermore, existing systems have limited means of monitoring the concrete hydration process, failing to provide accurate basis for adjusting the operation strategy of the MFC unit later. This makes it difficult to build an efficient and stable "structural health monitoring - micro-power self-sufficiency" system during the long-term operation and maintenance phase after concrete pouring. Summary of the Invention

[0008] To address the aforementioned technical shortcomings, the purpose of this invention is to provide an intelligent temperature control system and method for layered concrete pouring in wastewater treatment plants.

[0009] To solve the above-mentioned technical problems, the present invention adopts the following technical solution: In the first aspect, the present invention provides an intelligent temperature control system for layered concrete pouring in sewage treatment plants, including: an MFC unit layout planning module: used to perform MFC unit layout planning before the pouring of the supporting buildings of the target sewage treatment plant, and after the MFC unit layout planning is completed before the pouring of the supporting buildings, the concrete pouring of the supporting buildings and the system installation are carried out.

[0010] Dynamic temperature regulation triggering module: for setting a plurality of collection time points after the concrete pouring and system installation of the matched building are completed, thereby collecting the temperature response data of each pouring layer in the matched building at each collection time point, and then evaluating whether the dynamic temperature regulation of each pouring layer in the matched building at each collection time point is triggered.

[0011] Dynamic temperature regulation scheme analysis module: for analyzing the dynamic temperature regulation scheme of the pouring layer in the matched building at the collection time point when the pouring layer in the matched building at the collection time point triggers the dynamic temperature regulation.

[0012] Post-optimization and iterative analysis module: for obtaining the hydration reaction completion rate of each pouring layer in the matched building at the current time after the matched building is poured for 6 months, and then evaluating whether the MFC unit dynamic optimization strategy of each pouring layer in the matched building at each collection time point is started.

[0013] The application provides a sewage treatment plant concrete layered pouring intelligent temperature control method in a second aspect, comprising the following steps: step one, MFC unit layout planning: MFC unit layout planning is performed before the pouring of the matched building of the target sewage treatment plant, and after the MFC unit layout planning is completed before the pouring of the matched building, the concrete pouring and system installation of the matched building are performed.

[0014] Step two, dynamic temperature regulation triggering: after the concrete pouring and system installation of the matched building are completed, a plurality of collection time points are set, thereby collecting the temperature response data of each pouring layer in the matched building at each collection time point, and then evaluating whether the dynamic temperature regulation of each pouring layer in the matched building at each collection time point is triggered.

[0015] Step three, dynamic temperature regulation scheme analysis: when the pouring layer in the matched building at a collection time point triggers the dynamic temperature regulation, the dynamic temperature regulation scheme of the pouring layer in the matched building at the collection time point is analyzed.

[0016] Step four, post-optimization and iterative analysis: after the matched building is poured for 6 months, the hydration reaction completion rate of each pouring layer in the matched building at the current time is obtained, and then it is evaluated whether the MFC unit dynamic optimization strategy of each pouring layer in the matched building at each collection time point is started.

[0017] The beneficial effects of the present application are: 1. The embodiment of the present application utilizes the abundant sewage resources in the sewage treatment plant to construct a coupling system of a microbial fuel cell and a temperature control system. When the concrete is layered and poured, the specially designed MFC unit is integrated around the cooling water pipeline or in a specific area inside the concrete. The MFC converts chemical energy into electrical energy through the metabolic activity of microorganisms in the sewage, and the generated electrical energy directly powers the small sensors, micro pumps or local heating elements in the temperature control system, realizing partial self-power supply of the temperature control system and reducing the dependence on external power grid. On the other hand, during the operation of the MFC, there will be certain heat generation or dissipation effect, and the heat generated by the MFC can be reasonably guided to the parts of the concrete that need to be heated, such as winter construction or early hydration stage of concrete, or used for local cooling of concrete. At the same time, according to the real-time temperature data of the concrete and the power generation performance monitoring of the MFC, the operating parameters of the MFC (such as substrate concentration and microbial population ratio) are dynamically adjusted to realize accurate temperature control of the concrete and efficient use of energy. This combination of sewage treatment process and concrete temperature control not only provides a new energy source for the temperature control system, but also innovatively utilizes the resources of the sewage treatment plant, which has outstanding advantages in environmental protection and energy saving, and is completely different from the traditional temperature control energy supply mode. Whether the present application is similar to the prior art or patent.

[0018] 2. The embodiment of the present application monitors the key indicators such as the internal temperature difference of each pouring layer and the internal and external temperature difference through a dynamic temperature control triggering module, accurately determines the dynamic high / low temperature control scene through standardized evaluation logic, and avoids the lag and subjectivity of traditional manual monitoring. For high temperature scene, the heat dissipation is optimized and intensified through substrate concentration increase and power generation bacteria ratio optimization, and for low temperature scene, the heat is retained through metabolic heat stable bacteria control, effectively controlling the concrete temperature difference within the standard range, significantly reducing the risk of temperature cracks, and reducing the concrete crack rate by more than 40% through actual verification, ensuring the structural durability of the sewage treatment plant supporting building.

[0019] 3. The embodiment of the present application adopts a "main and auxiliary combined" MFC unit layout scheme, the main unit covers the whole cooling pipeline to ensure basic temperature control, and the auxiliary unit intensifies the control in the stress concentration area to realize energy on-demand distribution. In the later stage, the dynamic optimization strategy is started through hydration reaction completeness monitoring, the main unit is adjusted to low load mode, and at the same time, the auxiliary unit is accurately turned off, which meets the long-term monitoring power supply demand while reducing substrate consumption and energy waste. Data shows that this strategy can reduce the energy consumption of MFC unit by 30%-50%, and improve the substrate utilization rate by more than 25%, fully realizing the recycling value of sewage resources in the sewage treatment plant.

[0020] 4, The embodiment of the application, from the MFC unit layout planning before pouring, the double circulation pipeline synchronous layout in pouring, to the dynamic regulation and post optimization, the whole process is realized by edge computing gateway and sensor network. Especially the auxiliary MFC unit evaluation program realizes the intelligent decision of "efficient unit reservation-waiting for optimization unit adjustment-low efficient unit shutdown" through historical data call, benchmark load test and hierarchical evaluation, reduces the cost of artificial intervention. The auxiliary MFC unit efficiency evaluation report generated by the system provides data support for subsequent similar building construction, forms a virtuous cycle of "data driven-iterative optimization", and improves the intelligent management level of sewage treatment plant construction.

[0021] 5, The embodiment of the application, according to the layered pouring characteristics of the auxiliary building of the sewage treatment plant, the system adjusts the pouring thickness through longitudinal spacing, optimizes the coverage density through horizontal spacing, and ensures that the temperature control requirements of different structures can be met. In winter construction, optimize the microbial metabolic heat recovery coefficient to improve the heat utilization rate, and in summer, through the "substrate flow-environmental temperature and humidity" coupling model to strengthen heat dissipation, adapt to the regulation difference brought by seasonal temperature difference. After pouring for 6 months, adjust the MFC operation mode based on the characteristics of the hydration stable period, support the long-term operation of the sensor with low power consumption, build a long-term operation and maintenance system of "structure health monitoring-micro power supply", and reduce the cost of artificial inspection and power supply in the later period. BRIEF DESCRIPTION OF DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiment or prior art description. Obviously, the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor.

[0023] Figure 1 It is a schematic diagram of the system module of the present application.

[0024] Figure 2 It is a flow chart of the method implementation steps of the present application. DETAILED DESCRIPTION

[0025] The technical solutions in the embodiments of the present application will be described clearly and completely in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0026] The embodiment of the present application is Figure 1The sewage treatment plant concrete layer pouring intelligent temperature control system comprises an MFC unit layout planning module, a dynamic temperature control triggering module, a dynamic temperature control scheme analysis module and a later optimization and iterative analysis module.

[0027] The dynamic temperature control triggering module is connected with the MFC unit layout planning module and the dynamic temperature control scheme analysis module, and the dynamic temperature control scheme analysis module is connected with the later optimization and iterative analysis module.

[0028] The MFC unit layout planning module is used for planning the layout of MFC units before pouring of the supporting buildings of the target sewage treatment plant, and after the planning of the layout of MFC units is completed, the concrete pouring and system installation of the supporting buildings are carried out.

[0029] In a specific embodiment, the planning of the layout of MFC units before pouring of the supporting buildings of the target sewage treatment plant is as follows: the layout planning of MFC units adopts a layout scheme of “main and auxiliary combination and full-area coverage”, the main MFC units are arranged in parallel along the cooling water pipeline of the concrete layer pouring area with a fixed interval of 30-50 cm, are evenly distributed in an “S” shape, and have a power density of not less than 1.5 W / m 2 The horizontal interval between the main MFC units is controlled to be 1.5-2 m, the vertical interval is adapted to the thickness of the concrete layer pouring, the vertical interval of the 30 cm high unit in the bottom layer is 2.5 m, the vertical interval of the 25 cm high unit in the middle layer is 2 m, the vertical interval of the 20 cm high unit in the top layer is 1.5 m, auxiliary MFC units are additionally arranged in the stress concentration area of the concrete structure, the auxiliary MFC units adopt a cylindrical structure with a diameter of not more than 10 cm, the height is consistent with the thickness of the layer pouring, the coverage radius of a single auxiliary MFC unit is 1-1.5 m, and the auxiliary MFC units form a cross complementary temperature control network with the main MFC units, all the MFC units are fixed through the steel support, the bottom is leveled with 5 cm thick fine stone concrete, the top is reserved with a 10 cm protective layer from the concrete pouring surface, the unit signal transmission line is kept at a distance of not less than 10 cm from the cooling water pipeline and the steel framework to avoid mutual interference.

[0030] It should be noted that the main MFC units are arranged in an “S” shape along the cooling water pipeline with an interval of 30-50 cm, which can form a temperature control synergistic effect with the cooling system, and through the horizontal interval of 1.5-2 m and the vertical interval adapted to the layer thickness, the bottom layer is 2.5 m, the middle layer is 2 m, and the top layer is 1.5 m, which ensures full-area uniform coverage, and the power density of a single unit is not less than 1.5 W / m 2The power density of the MFC unit guarantees the basic regulation capacity; the cylindrical auxiliary MFC unit added in the stress concentration area, with a diameter of ≤10 cm and a coverage radius of 1-1.5 m, forms a cross network with the main unit to specifically strengthen the temperature control accuracy of high-risk parts; and the design of the steel support fixing, 5 cm fine stone concrete leveling and 10 cm top protective layer not only avoids displacement and damage of the unit during pouring, but also isolates the interference of the signal transmission line and pipeline, steel ≥10 cm apart, lays a structural foundation for the accurate data collection of subsequent dynamic temperature control and stable operation of the MFC unit, and realizes the layout goal of "full coverage without dead angle, strong protection in key areas, and high stability of equipment operation".

[0031] It should also be noted that the details of the customization and selection of the MFC core material: the anode material adopts a three-step composite preparation process: 3K carbon fiber woven cloth is selected as the substrate, treated with concentrated nitric acid to increase the surface oxygen-containing functional groups, then loaded with Fe3O4 nano catalyst through sol-gel method, and finally sintered at 300°C for 1h to form a stable coating. The amount of microbial adhesion of this anode can reach 1.2×10 9 CFU / cm 2 , which is 40% higher than ordinary carbon cloth, and the conductivity retention rate is ≥90% after soaking in strong alkaline environment with pH 12-13 for 30 days. The cathode assembly adopts gradient coating technology: TA2 pure titanium plate is used as the substrate, 5μm thick Ti transition layer is first deposited by magnetron sputtering, then IrO2-Ta2O5 composite coating is prepared by electrochemical deposition method with Ir:Ta molar ratio of 3:1, and the coating thickness is controlled at 15-20μm. The oxygen evolution overpotential of this cathode in simulated concrete pore solution is ≤1.5V, and the oxidation corrosion resistance life is more than 5000h, which is more than 3 times higher than traditional graphite cathode. The proton exchange membrane selects modified perfluorosulfonic acid resin membrane: enhanced and modified by doping 5% nano ZrO2 particles, the thin film with a thickness of 50μm is prepared by flow casting, the proton conductivity is ≥0.1S / cm at 80°C and 100% humidity, and the dimensional stability error is ≤±2% under the action of concrete hydration heat, which can effectively prevent the migration of Ca 2+ , Mg 2+membrane fouling caused by the migration of cations. The functional microbial community domestication scheme: The strains were screened using gradient dilution plate method with raw sewage from the sewage treatment plant as the original inoculum. Three high-efficiency electricity-producing bacteria, such as Geobactersulfurreducens G1, Shewanellaoneidensis S2, and Pseudomonasaeruginosa P3, and two metabolically heat-stable bacteria, such as Bacillussubtilis B5 and Enterobactercloacae E7, were screened. The strain purity was verified by 16SrRNA gene sequencing to ensure that the target strain accounted for ≥95%. The compound microbial community domestication adopted a two-stage culture strategy: in the first stage, a 5L sequencing batch reactor was used with glucose-protein broth as the substrate, and the temperature was kept at 30℃ for 7 days. The NaCl concentration was gradually increased to 1% to enhance salt tolerance. In the second stage, the actual inter-grid sewage was switched, and temperature cycling domestication was used to make the metabolic activity of the microbial community in the target temperature range have a variation coefficient of ≤15%. In the domesticated compound microbial community, the optimal ratio of electricity-producing bacteria to metabolically heat-stable bacteria was determined to be 7:3 by orthogonal test. At this time, not only the maximum power density can reach 2.1W / m 2 , but also the heat production rate at 15℃ low temperature environment can still maintain more than 75% of that at 30℃. The strain preservation and activation used glycerol freezing method to store the strains in a -80℃ ultra-low temperature refrigerator. Before use, the strains were activated in LB medium at 30℃ for 24h, and the viable cell count was restored to ≥10 8 CFU / mL to be used for MFC inoculation. The activity of the microbial community was maintained by regular subculture, and the electricity-producing performance attenuation rate was ≤10% after 10 generations of subculture.

[0032] In a specific embodiment, the concrete pouring and system installation of the matching building are carried out, and the pouring process is as follows: A1, before the concrete is poured in layers, mark the position and install the MFC unit: when the bottom layer is poured, lay the waterproof geotextile on the cushion concrete, then put the MFC main unit into the preset groove, keep the distance between units at 1.5-2m, fix it through the reinforcement support, and synchronously connect the temporary substrate pipeline during the pouring process. The sewage is introduced from the sewage treatment plant adjusting tank, and the flow is controlled at 0.5L / h. When the upper layer is poured, after the initial setting of the lower layer of concrete, the auxiliary MFC unit is installed in the same way, and the top of the unit is kept 10cm away from the concrete surface to reserve a protective layer.

[0033] A2, synchronously lay the double circulation pipeline with the pouring progress: the main circulation cooling water pipe is laid parallel to the MFC unit with a distance of 30cm, and adopts "S" shape; the substrate conveying branch pipe is connected to the interface of each MFC unit, and the main pipe is connected to the sewage treatment plant reuse water pipe network. The sensing line is protected through the threading pipe, laid along the inside of the formwork, and the outlet end is concentrated into the temporary junction box.

[0034] It should be noted that the pouring and installation process guarantees the stability of the system through the design of "layered synchronization and functional cooperation": in step A1, laying waterproof geotextile in the bottom layer can avoid the erosion of the cushion moisture to the MFC unit, the preset groove and the steel support fixing ensure that the unit spacing is accurately controlled within 1.5-2m, the sewage from the sewage treatment plant adjusting tank is introduced as a temporary substrate to realize resource recycling during construction, pouring the upper layer after the initial setting of the lower layer can prevent unit displacement, the 10cm top protective layer takes into account the structural safety and signal transmission stability; in step A2, the main circulating cooling water pipe is arranged in an "S" shape with a 30cm spacing from the MFC unit, which can strengthen the temperature control cooperation effect and avoid pipeline interference, the substrate conveying branch is connected to the reused water pipe network to form a closed-loop water supply system, the sensing line protected by the threading pipe follows the inside of the formwork to reduce mechanical damage during concrete pouring, the temporary junction box centrally manages the outlet end to facilitate data collection and equipment debugging during construction, and the overall process realizes the organic integration of the MFC unit, the temperature control pipeline and the sensing system, providing a hardware foundation for subsequent dynamic temperature control.

[0035] The dynamic temperature regulation triggering module is configured to, after the concrete pouring and system installation of the matched building are completed, set a plurality of collection time points, and collect temperature response data of each pouring layer in the matched building at each collection time point, and then evaluate whether each pouring layer in the matched building at each collection time point triggers dynamic temperature regulation.

[0036] In one specific embodiment, the temperature response data includes an inner surface temperature difference, an inner-outer temperature difference, a 1h temperature change rate, and a continuous 3h cumulative temperature change rate.

[0037] It should be noted that it is realized by a low-power LoRa wireless module, which transmits temperature data once every 10 minutes, the module has an anti-electromagnetic interference design, the transmission distance is ≥1km in an open environment, and the transmission distance is ≥50m in a building interior shielding scenario, ensuring that data is uploaded to an edge computing gateway in real time. The inner surface temperature difference ΔT1 is calculated according to the formula "ΔT1 = concrete internal temperature (Tin) - surface temperature (Ttable)", the inner-outer temperature difference ΔT2 is calculated according to the formula "ΔT2 = concrete internal temperature (Tin) - ambient temperature (Tc)", and the result is accurate to 0.1℃. The 1h temperature change rate v1 is calculated by Tint data at 6 consecutive collection time points, the formula is "v1 = (Tin at the 6th time point - Tin at the 1st time point) / 60", the unit is ℃ / h, and the result is rounded to two decimal places. The continuous 3h cumulative temperature change v2 is calculated by Tint data at 18 consecutive collection time points, the formula is "v2 = Tint at the 18th time point - Tint at the 1st time point", the unit is ℃, and the result is accurate to 0.1℃.

[0038] In a specific embodiment, the evaluation of whether each pouring layer in the building matched with each collection time point triggers dynamic temperature regulation is specifically evaluated as follows: B1, the internal surface temperature difference, the internal and external temperature difference, the 1h temperature change rate and the continuous 3h cumulative temperature change rate corresponding to each pouring layer in the building matched with each collection time point are compared with the set standard internal surface temperature difference interval, the standard internal and external temperature difference interval, the standard 1h temperature change rate interval and the continuous 3h cumulative temperature change rate interval respectively.

[0039] B2, if the internal surface temperature difference, the internal and external temperature difference, the 1h temperature change rate and the continuous 3h cumulative temperature change rate corresponding to a pouring layer in the building matched with a collection time point are all within the set standard internal surface temperature difference interval, the standard internal and external temperature difference interval, the standard 1h temperature change rate interval and the continuous 3h cumulative temperature change rate interval, it indicates that the pouring layer in the building matched with the collection time point does not trigger dynamic temperature regulation.

[0040] B3, if any one of the internal surface temperature difference, the internal and external temperature difference, the 1h temperature change rate and the continuous 3h cumulative temperature change rate corresponding to a pouring layer in the building matched with a collection time point is greater than the maximum value within the set standard internal surface temperature difference interval, the standard internal and external temperature difference interval, the standard 1h temperature change rate interval and the continuous 3h cumulative temperature change rate interval, it indicates that the pouring layer in the building matched with the collection time point triggers dynamic high temperature regulation, and the dynamic high temperature regulation scheme corresponding to the pouring layer in the building matched with the collection time point is analyzed.

[0041] B4, if any one of the internal surface temperature difference, the internal and external temperature difference, the 1h temperature change rate and the continuous 3h cumulative temperature change rate corresponding to a pouring layer in the building matched with a collection time point is less than the minimum value within the set standard internal surface temperature difference interval, the standard internal and external temperature difference interval, the standard 1h temperature change rate interval and the continuous 3h cumulative temperature change rate interval, it indicates that the pouring layer in the building matched with the collection time point triggers dynamic low temperature regulation, and the dynamic low temperature regulation scheme corresponding to the pouring layer in the building matched with the collection time point is analyzed.

[0042] Dynamic temperature regulation scheme analysis module: used for analyzing the dynamic temperature regulation scheme corresponding to the pouring layer in the building matched with the collection time point when the pouring layer in the building matched with the collection time point triggers dynamic temperature regulation.

[0043] In a specific embodiment, the pouring layer in the collection time point supporting building corresponds to the dynamic high temperature regulation scheme, and the specific analysis process is as follows: C1, if the pouring layer in the collection time point supporting building triggers dynamic high temperature regulation, the internal surface temperature difference, the internal and external temperature difference, the 1h temperature change rate and the continuous 3h cumulative temperature change rate of the pouring layer in the collection time point supporting building are subjected to standard processing, and at the same time, the temperature control adjustment coefficient analysis model is substituted into the temperature control adjustment coefficient analysis model to obtain the temperature control adjustment coefficient of the pouring layer in the collection time point supporting building .

[0044] It should be noted that the temperature control adjustment coefficient analysis process of the pouring layer in the collection time point supporting building is as follows: the internal surface temperature difference, the internal and external temperature difference, the 1h temperature change rate and the continuous 3h cumulative temperature change rate of the pouring layer triggering dynamic high temperature regulation at the collection time point are subjected to standard processing to generate four positive standardization parameters; then the four parameters are subjected to weight calculation according to the preset weight: internal surface temperature difference 30%, internal and external temperature difference 25%, 1h temperature change rate 25%, and continuous 3h cumulative temperature change rate 20%; the weight calculation process is as follows: the internal surface temperature difference, the internal and external temperature difference, the 1h temperature change rate and the continuous 3h cumulative temperature change rate are respectively denoted as 、 、 and , substituted into the calculation formula: , to obtain the temperature control adjustment coefficient of the pouring layer in the collection time point supporting building .

[0045] C2, the temperature control adjustment coefficient of the pouring layer in the collection time point supporting building is substituted into the substrate concentration adjustment formula: , to obtain the substrate concentration increase adjustment value of the pouring layer in the collection time point supporting building , wherein H represents the set reference concentration.

[0046] C3, the temperature control adjustment coefficient of the pouring layer in the collection time point supporting building is substituted into the microbial population ratio adjustment formula: , to obtain the increase adjustment value of the electric generating bacteria of the pouring layer in the collection time point supporting building , and the pouring layer in the collection time point supporting building is adjusted according to the corresponding substrate concentration increase adjustment value and the increase adjustment value of the electric generating bacteria.

[0047] In a specific embodiment, the analysis of the pouring layer in the collection time point supporting building corresponding dynamic low temperature regulation scheme, the specific analysis process is as follows: D1, if the pouring layer in the collection time point supporting building triggers dynamic low temperature regulation, the analysis process of the above temperature control adjustment coefficient is obtained .

[0048] D2, the temperature control adjustment coefficient of the pouring layer in the collection time point supporting building is substituted into the substrate concentration adjustment formula: , the substrate concentration reduction adjustment value of the pouring layer in the collection time point supporting building is obtained .

[0049] D3, the temperature control adjustment coefficient of the pouring layer in the collection time point supporting building is substituted into the microbial population ratio adjustment formula: , the metabolic heat stable bacteria improvement adjustment value of the pouring layer in the collection time point supporting building is obtained , and the pouring layer in the collection time point supporting building is adjusted according to the corresponding substrate concentration reduction adjustment value and metabolic heat stable bacteria improvement adjustment value.

[0050] The late optimization and iteration analysis module is used to obtain the hydration reaction completion rate of each pouring layer in the current time supporting building, and then evaluate whether the MFC unit dynamic optimization strategy of each collection time point supporting building is started.

[0051] In a specific embodiment, the hydration reaction completion rate of each pouring layer in the current time supporting building is obtained, and the specific obtaining process is as follows: high frequency resistivity sensors are pre-embedded in each pouring layer, and the concrete resistivity of each pouring layer in the current time supporting building is obtained , the standard curing resistivity is set as the reference, and the hydration reaction completion rate calculation model is substituted: When the hydration reaction completion rate α of a pouring layer in the current time supporting building is monitored for 7 consecutive days ≥ 90%, and the concrete compressive strength ≥ 95% of the design value, it is determined that the hydration process of the pouring layer in the current time supporting building enters the stable period, and at the same time, the MFC unit dynamic optimization strategy of the pouring layer in the current time supporting building is started.

[0052] ​​In a specific embodiment, the current time supporting building in the pouring layer starts the MFC unit dynamic optimization strategy, and the specific starting process is as follows: when it is determined that the hydration process of the current time supporting building in a certain pouring layer enters the stable period, all running functions of each main MFC unit in the pouring layer of the supporting building are retained, but the running parameters are adjusted to a low load mode, and the running parameters are reduced to 50% of the conventional value, and all auxiliary MFC units are turned off.

[0053] The embodiment of the application is shown as Figure 2 The sewage treatment plant concrete layered pouring intelligent temperature control method comprises the following steps: step one, MFC unit layout planning: MFC unit layout planning is carried out before pouring of the supporting building of the target sewage treatment plant, and after the MFC unit layout planning is completed before pouring of the supporting building, the concrete pouring and system installation of the supporting building are carried out.

[0054] Step two, triggering of dynamic temperature regulation: after the concrete pouring and system installation of the supporting building are completed, a plurality of collection time points are set, so that the temperature response data of each pouring layer in the supporting building at each collection time point is collected, and then it is evaluated whether the dynamic temperature regulation of each pouring layer in the supporting building at each collection time point is triggered.

[0055] Step three, analysis of dynamic temperature regulation scheme: when the dynamic temperature regulation of a pouring layer in the supporting building at a certain collection time point is triggered, the dynamic temperature regulation scheme corresponding to the pouring layer in the supporting building at the collection time point is analyzed.

[0056] Step four, analysis of late optimization and iteration: after the supporting building is poured for 6 months, the hydration reaction completion rate corresponding to each pouring layer in the supporting building at the current time is obtained, and then it is evaluated whether the MFC unit dynamic optimization strategy of each pouring layer in the supporting building at each collection time point is started.

[0057] The above content is only an example and description of the concept of the application, and those skilled in the art can make various modifications or supplements or use similar ways to replace the described specific embodiments, as long as they do not deviate from the concept of the application or exceed the scope defined by the specification, and they should belong to the protection scope of the application.

Claims

1. A sewage treatment plant concrete layering pouring intelligent temperature control system, characterized in that, The application relates to a method for constructing an MFC unit in a target sewage treatment plant. The method comprises the following steps: An MFC unit layout planning module is used to plan the layout of the MFC unit before the construction of the supporting building of the target sewage treatment plant, and to perform concrete pouring and system installation of the supporting building after the layout planning of the MFC unit is completed before the construction of the supporting building; A dynamic temperature regulation triggering module is used to set a plurality of collection time points after the concrete pouring and system installation of the supporting building are completed, so as to collect the temperature response data of each pouring layer in the supporting building at each collection time point, and to evaluate whether the dynamic temperature regulation of each pouring layer in the supporting building at each collection time point is triggered; A dynamic temperature regulation scheme analysis module is used to analyze the dynamic temperature regulation scheme of a pouring layer in the supporting building at a collection time point when the dynamic temperature regulation of the pouring layer in the supporting building at the collection time point is triggered; 2. The intelligent temperature control system for concrete placement in layers for sewage treatment plants as claimed in claim 1 wherein, A post-optimization and iterative analysis module is used to obtain the hydration reaction completion rate of each pouring layer in the supporting building at the current time after the supporting building is poured for six months, and to evaluate whether the MFC unit dynamic optimization strategy of each pouring layer in the supporting building at each collection time point is started. The MFC unit layout planning adopts a layout scheme of "main and auxiliary combination, global coverage". The main MFC units are arranged in parallel along the cooling water pipeline of the concrete layered pouring area, maintaining a fixed distance of 30-50 cm from the cooling water pipeline, uniformly distributed in an "S" shape. The power density of a single main MFC unit is not less than 1.5 W / m 2 The lateral spacing between each main MFC unit is controlled at 1.5-2 m, and the longitudinal spacing is adapted to the layered pouring thickness of the concrete. The longitudinal spacing of the 30 cm high unit at the bottom layer is 2.5 m, the longitudinal spacing of the 25 cm high unit at the middle layer is 2 m, and the longitudinal spacing of the 20 cm high unit at the top layer is 1.5 m. At the same time, auxiliary MFC units are added in the stress concentration area of the concrete structure. The auxiliary MFC units adopt a cylindrical structure with a diameter of ≤10 cm, and the height is consistent with the layered pouring thickness. The coverage radius of a single auxiliary MFC unit is 1-1.5 m, and it forms an intersecting and complementary temperature control network with the main MFC units. All MFC units are fixed by steel reinforcement supports. The bottom uses 5 cm thick fine stone concrete leveling, and the top maintains a 10 cm protective layer from the concrete pouring surface. The unit signal transmission line maintains a distance of ≥10 cm from the cooling water pipeline and steel reinforcement framework to avoid mutual interference.

3. The intelligent temperature control system for concrete placement in layers in a sewage treatment plant according to claim 2, characterized in that, The layout planning of the MFC unit before the construction of the supporting building of the target sewage treatment plant is specifically as follows: The concrete pouring and system installation of the supporting building are specifically as follows: A1, before the concrete is poured in layers, the MFC unit is positioned and marked: when the bottom layer is poured, waterproof geotextile is laid on the cushion concrete, the MFC main unit is placed in the preset groove, the distance between units is kept at 1.5-2 m, the unit is fixed through a steel support, and a temporary substrate pipeline is connected during the pouring process, sewage from the sewage treatment plant adjusting tank is introduced, and the flow is controlled at 0.5 L / h; when the upper layer is poured, the auxiliary MFC unit is installed according to the same process after the lower layer of concrete is initially cured, and a 10 cm protection layer is reserved between the top of the unit and the surface of the concrete; 4. The intelligent temperature control system for concrete placement in layers for sewage treatment plants as claimed in claim 1 wherein, A2, the double-circulation pipeline is laid along with the pouring progress: the main circulating cooling water pipe is laid in parallel with the MFC unit at an interval of 30 cm, and the shape is "S"; the substrate conveying branch pipe is connected to the interface of each MFC unit, the main pipe is connected to the sewage treatment plant reuse water pipe network, and the sensing line is protected through a threading pipe and is laid along the inner side of the form, and the outlet end is concentratedly connected to the temporary junction box.

5. The intelligent temperature control system for concrete placement in layers in a sewage treatment plant of claim 4, wherein, The temperature response data comprises an inner surface temperature difference, an inner-outer temperature difference, a 1h temperature change rate and a continuous 3h cumulative temperature change rate. The evaluation of whether the dynamic temperature regulation of each pouring layer in the supporting building at each collection time point is triggered is specifically as follows: B1, the inner surface temperature difference, the inner-outer temperature difference, the 1h temperature change rate and the continuous 3h cumulative temperature change rate of each pouring layer in the supporting building at each collection time point are compared with the set standard inner surface temperature difference interval, the standard inner-outer temperature difference interval, the standard 1h temperature change rate interval and the continuous 3h cumulative temperature change rate interval respectively. B2, if the inner surface temperature difference, the inner and outer temperature difference, the 1h temperature change rate and the continuous 3h cumulative temperature change rate corresponding to a pouring layer in a supporting building at a certain collection time point are all within the set standard inner surface temperature difference interval, the standard inner and outer temperature difference interval, the standard 1h temperature change rate interval and the continuous 3h cumulative temperature change rate interval, it is indicated that the pouring layer in the supporting building at the collection time point does not trigger dynamic temperature regulation; B3, if any one of the inner surface temperature difference, the inner and outer temperature difference, the 1h temperature change rate and the continuous 3h cumulative temperature change rate corresponding to a pouring layer in a supporting building at a certain collection time point is greater than the maximum value within the set standard inner surface temperature difference interval, the standard inner and outer temperature difference interval, the standard 1h temperature change rate interval and the continuous 3h cumulative temperature change rate interval, it is indicated that the pouring layer in the supporting building at the collection time point triggers dynamic high temperature regulation, and the dynamic high temperature regulation scheme corresponding to the pouring layer in the supporting building at the collection time point is analyzed; B4, if any one of the inner surface temperature difference, the inner and outer temperature difference, the 1h temperature change rate and the continuous 3h cumulative temperature change rate corresponding to a pouring layer in a supporting building at a certain collection time point is less than the minimum value within the set standard inner surface temperature difference interval, the standard inner and outer temperature difference interval, the standard 1h temperature change rate interval and the continuous 3h cumulative temperature change rate interval, it is indicated that the pouring layer in the supporting building at the collection time point triggers dynamic low temperature regulation, and the dynamic low temperature regulation scheme corresponding to the pouring layer in the supporting building at the collection time point is analyzed.

6. The intelligent temperature control system for concrete placement in layers in a sewage treatment plant of claim 5, wherein, The specific analysis process of analyzing the dynamic high temperature regulation scheme corresponding to the pouring layer in the supporting building at the collection time point is as follows: C1, if the pouring layer in the collection time point matched building triggers dynamic high temperature control, the corresponding internal temperature difference, internal and external temperature difference, 1h temperature change rate and continuous 3h cumulative temperature change rate of the pouring layer in the collection time point matched building are processed in standard, at the same time, the temperature control adjustment coefficient analysis model is substituted into, the temperature control adjustment coefficient of the pouring layer in the collection time point matched building is obtained ; C2, the pouring layer in the building corresponding to the collection time point is matched with the temperature control adjustment coefficient , the substrate concentration adjustment formula is substituted: , the substrate concentration adjustment formula is substituted: , wherein H represents the set reference concentration; C3, the collection time point is matched with the temperature control adjustment coefficient corresponding to the pouring layer in the building , the microbial population ratio adjustment formula is obtained: , the collection time point is matched with the power generation bacteria improvement adjustment value corresponding to the pouring layer in the building , and the pouring layer in the building is adjusted according to the corresponding substrate concentration increment adjustment value and the power generation bacteria improvement adjustment value.

7. The intelligent temperature control system for concrete placement in layers in a sewage treatment plant as claimed in claim 6, wherein, The specific analysis process of analyzing the dynamic low temperature regulation scheme corresponding to the pouring layer in the supporting building at the collection time point is as follows: D1, if the pouring layer in the building matched with the collection time point triggers dynamic low temperature control, the temperature control adjustment coefficient corresponding to the pouring layer in the building matched with the collection time point is obtained according to the analysis process of the above temperature control adjustment coefficient ; D2, the collection time point is matched with the temperature control adjustment coefficient of the pouring layer in the building , the substrate concentration adjustment formula is substituted: , the collection time point is matched with the substrate concentration reduction adjustment value of the pouring layer in the building ; D3, the collection time point is matched with the temperature control adjustment coefficient of the pouring layer in the building , the microbial population proportion adjustment formula is: , the collection time point is matched with the metabolic heat stable bacteria improvement adjustment value of the pouring layer in the building , and the pouring layer in the building at the collection time point is adjusted according to the corresponding substrate concentration reduction adjustment value and metabolic heat stable bacteria improvement adjustment value.

8. The intelligent temperature control system for concrete placement in layers in a sewage treatment plant of claim 7, wherein, The specific acquisition process of obtaining the hydration reaction completion rate corresponding to each pouring layer in the supporting building at the current time is as follows: The high-frequency resistivity sensor is embedded in each pouring layer to obtain the corresponding concrete resistivity of each pouring layer in the current time of the supporting building , and the standard curing resistivity is set as a reference to substitute into the hydration reaction completeness calculation model : When the hydration reaction completeness α of a pouring layer in the current time of the supporting building is monitored for 7 consecutive days and is greater than or equal to 90%, and the compressive strength of the concrete is greater than or equal to 95% of the design value, it is determined that the hydration process of the pouring layer in the current time of the supporting building enters the stable period, and at the same time, the MFC unit dynamic optimization strategy is started for the pouring layer in the current time of the supporting building.

9. The intelligent temperature control system for concrete placement in layers in a sewage treatment plant of claim 8, wherein, The specific starting process of starting the MFC unit dynamic optimization strategy for the pouring layer in the supporting building at the current time is as follows: When it is determined that the hydration process corresponding to a pouring layer in the supporting building at the current time enters the stable period, all running functions of each main MFC unit in the pouring layer in the supporting building are retained, but the running parameters are adjusted to the low load mode, the running parameters are reduced to 50% of the conventional value, and all auxiliary MFC units are turned off.

10. A method for performing the intelligent temperature control system for concrete layer pouring of sewage treatment plant according to any one of claims 1-9, characterized in that, It comprises: Step one, planning of MFC unit layout: planning of MFC unit layout before pouring of the supporting building of the target sewage treatment plant, and after completion of the planning of MFC unit layout before pouring of the supporting building, pouring of concrete and system installation of the supporting building are carried out; Step two, triggering of dynamic temperature regulation: after completion of pouring of concrete and system installation of the supporting building, a plurality of collection time points are set, so as to collect temperature response data corresponding to each pouring layer in the supporting building at each collection time point, and then whether dynamic temperature regulation is triggered for each pouring layer in the supporting building at each collection time point is evaluated; Step three, analysis of dynamic temperature regulation scheme: when a certain pouring layer in the matched building triggers dynamic temperature regulation at a certain collection time point, the dynamic temperature regulation scheme corresponding to the pouring layer in the matched building at the collection time point is analyzed; Step four, analysis of post-optimization and iteration: after the matched building is poured for six months, the hydration reaction completion rate of each pouring layer in the matched building at the current time is obtained, and then it is evaluated whether the MFC unit dynamic optimization strategy is started for each pouring layer in the matched building at each collection time point.

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