Intelligent self-adjusting bearing platform concrete temperature control processing method and system and medium

Abstract

The invention provides an intelligent self-adjusting bearing platform concrete temperature control processing method and system and a medium, and belongs to the technical field of constructional engineering and big data. The method comprises the steps that bearing platform temperature control system information is obtained, temperature change monitoring information and cooling control information are extracted, and then raw material information, concrete action thermal information, cooling agent parameter information and cooling water system information are extracted; obtaining a raw material temperature change index according to the raw material information and the concrete action thermal information; obtaining a cooling efficiency index according to the cooling agent parameter information and the cooling water system information; environmental change monitoring information is obtained, and an environmental fluctuation index is obtained; and obtaining a temperature control efficiency index according to the raw material temperature change index, the cooling efficiency index and the environment fluctuation index, and judging whether the temperature control efficiency index meets requirements. According to the method, multiple key aspects of the bridge bearing platform temperature control system are fully considered and covered, the accuracy and reliability of evaluation are improved, and problems and potential risks existing in the temperature control system can be found in time.

Description

Technical Field

[0001] The present application relates to the fields of construction engineering and big data technology, and more specifically, to an intelligent self-regulating cap concrete temperature control treatment method, system and medium. Background Art

[0002] During the construction of bridge caps, large volumes of concrete will release a large amount of hydration heat during the hardening process, causing the internal temperature of the concrete to rise rapidly, while the surface temperature dissipates quickly due to contact with the external environment, resulting in a large temperature difference between the inside and outside. This temperature difference effect may cause compressive stress inside the concrete and then cracks. These cracks will not only reduce the strength and durability of the concrete, but may also weaken the bearing capacity of the cap and affect the service life of the bridge.

[0003] Traditional temperature control technology often relies on manual temperature measurement, which is inefficient and subject to errors caused by a variety of factors. At the same time, it does not take into account changes in ambient temperature and lacks an automated, all-round monitoring technology method for the temperature control of the cap concrete.

[0004] In view of the above problems, effective technical solutions are currently awaited. Summary of the invention

[0005] The purpose of this application is to provide an intelligent self-regulating cap concrete temperature control processing method, system and medium, which can obtain the cap temperature control system information, extract the temperature change monitoring information and the cooling control information, and then respectively extract the raw material information and the concrete thermal information as well as the cooling agent parameter information and the cooling water system information; process the raw material information and the concrete thermal information to obtain the raw material temperature change index; process the cooling agent parameter information and the cooling water system information to obtain the cooling efficiency index; then obtain the environmental change monitoring information and process it to obtain the environmental fluctuation index; process the raw material temperature change index and the cooling efficiency index in combination with the environmental fluctuation index to obtain the temperature control efficiency index and judge whether the temperature control effect meets the requirements. This application fully considers and covers many key aspects of the bridge cap temperature control system, improves the accuracy and reliability of the evaluation, and can promptly discover problems and potential risks in the temperature control system.

[0006] The present application provides an intelligent self-adjusting cap concrete temperature control treatment method, comprising the following steps:

[0007] Obtain the foundation temperature control system information of the preset area within the preset time period, extract the temperature change monitoring information and the cooling control information, and then respectively extract the raw material information and the concrete thermal information as well as the cooling agent parameter information and the cooling water system information;

[0008] Processing is performed according to the raw material information and the thermal information of concrete to obtain the raw material temperature change index;

[0009] Processing the cooling agent parameter information and the cooling water system information to obtain a cooling efficiency index;

[0010] Acquire and process environmental change monitoring information of a preset area within the preset time period to obtain an environmental fluctuation index;

[0011] The temperature control efficiency index is obtained by processing the raw material temperature change index and the cooling efficiency index in combination with the environmental fluctuation index;

[0012] The temperature control efficiency index is compared with a preset temperature control efficiency index threshold to determine whether the temperature control effect meets the requirements.

[0013] Among them, in the intelligent self-adjusting cap concrete temperature control processing method described in the present application, the raw material information and the concrete thermal information are processed to obtain the raw material temperature change index, which is specifically:

[0014] Extracting raw material initial temperature data, raw material ratio data and raw material specific heat parameter data according to the raw material information;

[0015] Extracting friction thermal data and extrusion thermal data according to the concrete thermal information;

[0016] The raw material temperature change index is obtained by processing the raw material initial temperature data, raw material ratio data and raw material specific heat parameter data in combination with the friction thermal data and the extrusion thermal data through a preset raw material temperature change model.

[0017] Among them, in the intelligent self-adjusting cap concrete temperature control processing method described in the present application, the cooling efficiency index is obtained by processing according to the cooling agent parameter information and the cooling water system information, specifically:

[0018] Extracting cooling agent type data, cooling agent concentration data and cooling agent dosage data according to the cooling agent parameter information;

[0019] Extracting cooling water flow data, inlet and outlet temperature difference data and cooling water system efficiency data according to the cooling water system information;

[0020] The cooling efficiency index is obtained by processing the cooling agent type data, cooling agent concentration data and cooling agent dosage data in combination with the cooling water flow data, inlet and outlet temperature difference data and cooling water system efficiency data through a preset cooling evaluation model.

[0021] Among them, in the intelligent self-adjusting cap concrete temperature control processing method described in the present application, the environmental change monitoring information of the preset area within the preset time period is obtained and processed to obtain the environmental fluctuation index, specifically:

[0022] Acquire environmental change monitoring information of a preset area within the preset time period, and extract temperature fluctuation data, sunshine degree data, and wind speed change rate data;

[0023] The temperature fluctuation data, sunshine degree data and wind speed change rate data are processed through a preset ring change evaluation model to obtain an environmental fluctuation index.

[0024] Among them, in the intelligent self-adjusting cap concrete temperature control processing method described in the present application, the temperature control efficiency index is obtained by processing the raw material temperature change index and the cooling efficiency index in combination with the environmental fluctuation index, specifically:

[0025] The temperature control efficiency index is obtained by processing the raw material temperature change index and the cooling efficiency index in combination with the environmental fluctuation index through a preset temperature control evaluation model.

[0026] Among them, in the intelligent self-adjusting cap concrete temperature control processing method described in the present application, the temperature control efficiency index is compared with a preset temperature control efficiency index threshold to judge whether the temperature control effect meets the requirements, specifically:

[0027] Comparing the temperature control efficiency index with a preset temperature control efficiency index threshold, obtaining an efficiency index deviation rate;

[0028] comparing the efficiency index deviation rate with a preset efficiency index deviation rate threshold;

[0029] If the efficiency index deviation rate is greater than or equal to the efficiency index deviation rate threshold, a temperature control failure message is sent;

[0030] If the efficiency index deviation rate is less than the efficiency index deviation rate threshold, the temperature control qualified information is sent.

[0031] In a second aspect, the present application provides an intelligent self-adjusting cap concrete temperature control processing system, the system comprising: a memory and a processor, the memory comprising a program of an intelligent self-adjusting cap concrete temperature control processing method, the program of the intelligent self-adjusting cap concrete temperature control processing method being executed by the processor to implement the following steps:

[0032] Obtain the foundation temperature control system information of the preset area within the preset time period, extract the temperature change monitoring information and the cooling control information, and then respectively extract the raw material information and the concrete thermal information as well as the cooling agent parameter information and the cooling water system information;

[0033] Processing is performed according to the raw material information and the thermal information of concrete to obtain the raw material temperature change index;

[0034] Processing the cooling agent parameter information and the cooling water system information to obtain a cooling efficiency index;

[0035] Acquire and process environmental change monitoring information of a preset area within the preset time period to obtain an environmental fluctuation index;

[0036] The temperature control efficiency index is obtained by processing the raw material temperature change index and the cooling efficiency index in combination with the environmental fluctuation index;

[0037] The temperature control efficiency index is compared with a preset temperature control efficiency index threshold to determine whether the temperature control effect meets the requirements.

[0038] Among them, in the intelligent self-adjusting cap concrete temperature control processing system described in the present application, the raw material information and the concrete thermal information are processed to obtain the raw material temperature change index, which is specifically:

[0039] Extracting raw material initial temperature data, raw material ratio data and raw material specific heat parameter data according to the raw material information;

[0040] Extracting friction thermal data and extrusion thermal data according to the concrete thermal information;

[0041] The raw material temperature change index is obtained by processing the raw material initial temperature data, raw material ratio data and raw material specific heat parameter data in combination with the friction thermal data and the extrusion thermal data through a preset raw material temperature change model.

[0042] Among them, in the intelligent self-adjusting cap concrete temperature control processing system described in the present application, the cooling efficiency index is obtained by processing the cooling agent parameter information and the cooling water system information, specifically:

[0043] Extracting cooling agent type data, cooling agent concentration data and cooling agent dosage data according to the cooling agent parameter information;

[0044] Extracting cooling water flow data, inlet and outlet temperature difference data and cooling water system efficiency data according to the cooling water system information;

[0045] The cooling efficiency index is obtained by processing the cooling agent type data, cooling agent concentration data and cooling agent dosage data in combination with the cooling water flow data, inlet and outlet temperature difference data and cooling water system efficiency data through a preset cooling evaluation model.

[0046] In a third aspect, the present application also provides a computer-readable storage medium, which includes a program for an intelligent self-adjusting pedestal concrete temperature control processing method. When the program for an intelligent self-adjusting pedestal concrete temperature control processing method is executed by a processor, the steps of an intelligent self-adjusting pedestal concrete temperature control processing method as described in any one of the above items are implemented.

[0047] As can be seen from the above, the embodiment of the present application provides an intelligent self-adjusting cap concrete temperature control processing method, system and medium, which obtains the cap temperature control system information, extracts the temperature change monitoring information and the cooling control information, and then respectively extracts the raw material information and the concrete thermal information as well as the cooling agent parameter information and the cooling water system information; processes according to the raw material information and the concrete thermal information to obtain the raw material temperature change index; processes according to the cooling agent parameter information and the cooling water system information to obtain the cooling efficiency index; then obtains the environmental change monitoring information and processes it to obtain the environmental fluctuation index; processes according to the raw material temperature change index and the cooling efficiency index combined with the environmental fluctuation index to obtain the temperature control efficiency index and judge whether the temperature control effect meets the requirements. The present application fully considers and covers many key aspects of the bridge cap temperature control system, including temperature change monitoring, cooling control, raw material information, concrete thermal, cooling agent parameters and cooling water system information. This comprehensive and comprehensive data collection and analysis improves the accuracy and reliability of the evaluation, and can also timely discover problems and potential risks in the temperature control system to avoid temperature control failure or accidents.

[0048] Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or understood by practicing the embodiments of the present application. The purpose and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the written description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0050] Figure 1 A flow chart of an intelligent self-adjusting cap concrete temperature control method provided in an embodiment of the present application;

[0051] Figure 2 A flow chart of obtaining a raw material temperature variation index in a method for temperature control of an intelligent self-adjusting cap concrete provided in an embodiment of the present application;

[0052] Figure 3 A flow chart of obtaining a cooling efficiency index of an intelligent self-adjusting cap concrete temperature control treatment method provided in an embodiment of the present application;

[0053] Figure 4 A flow chart of obtaining an environmental fluctuation index for an intelligent self-adjusting cap concrete temperature control method provided in an embodiment of the present application;

[0054] Figure 5 A flow chart of obtaining a temperature control efficiency index for an intelligent self-regulating cap concrete temperature control treatment method provided in an embodiment of the present application. DETAILED DESCRIPTION

[0055] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0056] It should be noted that similar numbers and letters represent similar items in the following figures. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance. It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data need to comply with relevant laws, regulations and standards of relevant countries and regions.

[0057] Please refer to Figure 1 , Figure 1 The flowchart of a method for temperature control of concrete of an intelligent self-adjusting foundation in some embodiments of the present application. The method for temperature control of concrete of an intelligent self-adjusting foundation is used in a terminal device, such as a computer, a mobile phone terminal, etc. The method for temperature control of concrete of an intelligent self-adjusting foundation comprises the following steps:

[0058] S101, obtaining the foundation temperature control system information of the preset area within the preset time period, extracting the temperature change monitoring information and the cooling control information, and then respectively extracting the raw material information and the concrete thermal information as well as the cooling agent parameter information and the cooling water system information;

[0059] S102, processing the raw material information and the concrete thermal information to obtain a raw material temperature change index;

[0060] S103, processing the cooling agent parameter information and the cooling water system information to obtain a cooling efficiency index;

[0061] S104, obtaining and processing environmental change monitoring information of a preset area within the preset time period to obtain an environmental fluctuation index;

[0062] S105, processing the raw material temperature change index and the cooling efficiency index in combination with the environmental fluctuation index to obtain a temperature control efficiency index;

[0063] S106: Compare the temperature control efficiency index with a preset temperature control efficiency index threshold to determine whether the temperature control effect meets the requirements.

[0064] Among them, the present application obtains the information of the temperature control system of the bridge cap, extracts the temperature change monitoring information and the cooling control information, and then respectively extracts the raw material information and the thermal information of the concrete, as well as the cooling agent parameter information and the cooling water system information; according to the raw material information and the thermal information of the concrete, the raw material temperature change index is obtained by processing through the preset raw material temperature change model; according to the cooling agent parameter information and the cooling water system information, the cooling efficiency index is obtained by processing through the preset cooling evaluation model; then the environmental change monitoring information is obtained and processed through the preset environmental change evaluation model to obtain the environmental fluctuation index; according to the raw material temperature change index and the cooling efficiency index combined with the environmental fluctuation index, the temperature control efficiency index is obtained by processing through the preset temperature control evaluation model and compared with the preset temperature control efficiency index threshold to determine whether the temperature control effect meets the requirements. The present application fully considers and covers multiple key aspects of the bridge cap temperature control system, including temperature change monitoring, cooling control, raw material information, concrete thermal, cooling agent parameters and cooling water system information. This comprehensive and comprehensive data collection and analysis improves the accuracy and reliability of the evaluation, and can also timely discover problems and potential risks in the temperature control system to avoid temperature control failure or accidents.

[0065] Please refer to Figure 2 , Figure 2 The flowchart of obtaining the raw material temperature variation index of a method for temperature control of concrete of an intelligent self-adjusting cap in some embodiments of the present application is as follows. According to an embodiment of the present invention, the raw material information and the concrete thermal information are processed to obtain the raw material temperature variation index, specifically:

[0066] S201, extracting raw material initial temperature data, raw material ratio data and raw material specific heat parameter data according to the raw material information;

[0067] S202, extracting friction thermal data and extrusion thermal data according to the concrete thermal information;

[0068] S203, processing the raw material initial temperature data, raw material ratio data and raw material specific heat parameter data in combination with the friction thermal data and the extrusion thermal data through a preset raw material temperature change model to obtain a raw material temperature change index.

[0069] Among them, in order to grasp and reduce the temperature change of raw materials such as concrete, the initial temperature data of raw materials, raw material ratio data and raw material specific heat parameter data are extracted according to the raw material information; the frictional thermal data and extrusion thermal data are extracted according to the concrete thermal information. The initial temperature data of raw materials refers to the temperature of the raw materials (such as cement, aggregate, water, etc.) when the concrete is mixed; the raw material ratio data refers to the ratio of each raw material in the concrete, that is, the proportion of each raw material in the concrete; the raw material specific heat parameter data refers to the specific heat physical property of various raw materials, which indicates the heat absorbed or released when the unit mass of the material increases or decreases by 1 degree Celsius; the frictional thermal data reflects that the friction between raw materials and between raw materials and equipment will generate heat during the mixing, transportation and pouring of concrete; the extrusion thermal data reflects the heat generated by the extrusion of raw materials during the pouring and vibration of concrete. Then, according to the initial temperature data of raw materials, the raw material ratio data and the raw material specific heat parameter data, combined with the frictional thermal data and the extrusion thermal data, the raw material temperature change index is obtained through the preset raw material temperature change model, which reflects the temperature change of concrete raw materials under specific conditions;

[0070] The calculation formula of the raw material temperature change model is:

[0071]

[0072] Among them, M tc is the raw material temperature change index, m st 、m zb 、m hp 、f ht 、e rh They are respectively the initial temperature data of raw materials, the proportion data of raw materials, the specific heat parameter data of raw materials, the thermal data of friction and the thermal data of extrusion, and ω, v, τ are the preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset temperature control database).

[0073] Please refer to Figure 3 , Figure 3The flowchart of obtaining the cooling efficiency index of an intelligent self-adjusting cap concrete temperature control processing method in some embodiments of the present application is as follows. According to an embodiment of the present invention, the cooling efficiency index is obtained by processing the cooling agent parameter information and the cooling water system information, specifically:

[0074] S301, extracting cooling agent type data, cooling agent concentration data and cooling agent dosage data according to the cooling agent parameter information;

[0075] S302, extracting cooling water flow data, inlet and outlet temperature difference data and cooling water system efficiency data according to the cooling water system information;

[0076] S303, processing the cooling agent type data, cooling agent concentration data and cooling agent dosage data in combination with the cooling water flow data, inlet and outlet temperature difference data and cooling water system efficiency data through a preset cooling evaluation model to obtain a cooling efficiency index.

[0077] Among them, in order to evaluate the cooling efficiency of the cooling measures during pouring, the coolant type data, coolant concentration data and coolant dosage data are extracted according to the coolant parameter information; the cooling water flow data, inlet and outlet temperature difference data and cooling water system efficiency data are extracted according to the cooling water system information. Coolant type data refers to the type of special chemical substance used to reduce the temperature of concrete; coolant concentration data refers to the concentration of the coolant when in use, that is, the proportion of the coolant to the total volume of the solution; coolant dosage data refers to the amount of coolant required to be added per unit volume or weight of concrete; cooling water flow data refers to the flow rate of cooling water circulating in the system; inlet and outlet temperature difference data reflects the heat exchange capacity of cooling water in the system; cooling water system efficiency data reflects the efficiency of the cooling water system in actual operation. Then, the coolant type data, coolant concentration data and coolant dosage data are combined with the cooling water flow data, inlet and outlet temperature difference data and cooling water system efficiency data through the preset cooling evaluation model for processing to obtain the cooling efficiency index, which is used to quantify the effect of the coolant and the cooling water system in reducing the temperature of concrete;

[0078] The calculation formula of the cooling evaluation model is:

[0079]

[0080] Among them, C wp is the cooling efficiency index, a ty 、a c 、a ds 、w fl ,t eo , W ef They are coolant type data, coolant concentration data, coolant dosage data, cooling water flow data, inlet and outlet temperature data, and cooling water system efficiency data. σ、 ρ is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset temperature control database).

[0081] Please refer to Figure 4 , Figure 4 The flowchart of obtaining the environmental fluctuation index of an intelligent self-adjusting cap concrete temperature control processing method in some embodiments of the present application. According to an embodiment of the present invention, the environmental change monitoring information of the preset area within the preset time period is obtained and processed to obtain the environmental fluctuation index, specifically:

[0082] S401, obtaining environmental change monitoring information of a preset area within the preset time period, and extracting temperature fluctuation data, sunshine degree data and wind speed change rate data;

[0083] S402: Process the temperature fluctuation data, sunshine degree data and wind speed change rate data through a preset ring change evaluation model to obtain an environmental fluctuation index.

[0084] Among them, in order to grasp and reduce the impact of environmental changes on the temperature of concrete during the pouring process, the environmental change monitoring information of the preset area within the preset time period is obtained, and the temperature fluctuation data, sunshine degree data and wind speed change rate data are extracted; the temperature fluctuation data refers to the temperature change of the preset area within the preset time period, such as the temperature change every hour, every day or every week; the sunshine degree data represents the sunshine intensity or sunshine time received by the preset area within the preset time period; the wind speed change rate data refers to the wind speed change of the preset area within the preset time period, including the instantaneous value, average value or change rate of the wind speed. Then, the temperature fluctuation data, sunshine degree data and wind speed change rate data are processed through the preset ring change evaluation model to obtain the environmental fluctuation index, which is used to quantify the degree of environmental change in the preset area within the preset time period;

[0085] The calculation formula of the ring change evaluation model is:

[0086]

[0087] Among them, E ch is the environmental fluctuation index, t fd 、s zt 、w sb They are respectively the temperature fluctuation data, sunshine degree data and wind speed change rate data, π 1 , π 2 is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset temperature control database).

[0088] Please refer to Figure 5 , Figure 5The flowchart of obtaining the temperature control efficiency index of an intelligent self-adjusting cap concrete temperature control processing method in some embodiments of the present application is as follows. According to an embodiment of the present invention, the temperature control efficiency index is obtained by processing the raw material temperature change index and the cooling efficiency index in combination with the environmental fluctuation index, specifically:

[0089] S501 , processing the raw material temperature variation index and the cooling efficiency index in combination with the environmental fluctuation index through a preset temperature control evaluation model to obtain a temperature control efficiency index.

[0090] In order to evaluate the temperature control effect of concrete, the temperature control efficiency index is obtained by processing the raw material temperature change index and the cooling efficiency index in combination with the environmental fluctuation index through a preset temperature control evaluation model;

[0091] The calculation formula of the temperature control evaluation model is:

[0092]

[0093] Among them, T cφ is the temperature control efficiency index, M tc , C wp 、E ch are raw material temperature variation index, cooling efficiency index and environmental fluctuation index respectively; ξ, μ and λ are preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset temperature control database).

[0094] According to an embodiment of the present invention, the temperature control efficiency index is compared with a preset temperature control efficiency index threshold to determine whether the temperature control effect meets the requirements, specifically:

[0095] Comparing the temperature control efficiency index with a preset temperature control efficiency index threshold, obtaining an efficiency index deviation rate;

[0096] comparing the efficiency index deviation rate with a preset efficiency index deviation rate threshold;

[0097] If the efficiency index deviation rate is greater than or equal to the efficiency index deviation rate threshold, a temperature control failure message is sent;

[0098] If the efficiency index deviation rate is less than the efficiency index deviation rate threshold, a temperature control qualified message is sent;

[0099] If the quality index deviation rate is less than the quality index deviation rate threshold, a quality inspection pass message is sent.

[0100] Among them, in order to improve the efficiency of concrete temperature control during the pouring process, the temperature control efficiency index is compared with the preset temperature control efficiency index threshold to obtain the efficiency index deviation rate, and then compared with the preset efficiency index deviation rate threshold. If the efficiency index deviation rate is greater than or equal to the efficiency index deviation rate threshold, it means that the effect of the temperature control measures has not reached the preset standard, and there may be a risk of unqualified temperature control. It is necessary to send temperature control unqualified information to remind relevant personnel to take further measures; if the efficiency index deviation rate is less than the efficiency index deviation rate threshold, it means that the effect of the temperature control measures has reached the preset standard, the temperature control is qualified, and it is necessary to send temperature control qualified information to confirm the effectiveness of the temperature control measures.

[0101] According to an embodiment of the present invention, it also includes:

[0102] Obtain temperature change rate data of a preset area within a preset time period;

[0103] Comparing the temperature change rate data with a preset temperature change rate threshold, obtaining a rate deviation rate;

[0104] comparing the rate deviation rate with a preset rate deviation rate threshold;

[0105] If the rate deviation rate is greater than or equal to the rate deviation rate threshold, a rate excess message is sent;

[0106] If the rate deviation rate is less than the rate deviation rate threshold, a normal rate message is sent.

[0107] Among them, in order to ensure that the temperature change rate of concrete meets the requirements, the temperature change rate data of the preset area within the preset time period is obtained, and the temperature change rate data is compared with the preset temperature change rate threshold to obtain the rate deviation rate, and then compared with the preset rate deviation rate threshold. If the rate deviation rate is greater than or equal to the rate deviation rate threshold, it means that the temperature change rate exceeds the normal range. At this time, the system needs to send a rate excess information to remind relevant personnel to pay attention and take corresponding measures; if the rate deviation rate is less than the rate deviation rate threshold, it means that the temperature change rate is within the normal range. At this time, the system can send a normal rate information, indicating that the temperature change in the current area is stable.

[0108] According to an embodiment of the present invention, it also includes:

[0109] Obtaining the cap structure detection information of the preset area within the preset time period, and extracting the cap crack data, bearing capacity data, deformation degree data and settlement data;

[0110] According to the cap crack data, bearing capacity data, deformation degree data and settlement data, query through a preset cap maintenance database to obtain cap maintenance information;

[0111] The foundation maintenance information includes crack grouting information, section reinforcement information, foundation reinforcement information and bearing jacking information.

[0112] Among them, in order to strengthen and carry out targeted maintenance of the foundation according to different situations, the foundation structure detection information of the preset area within the preset time period is obtained, the foundation crack data, bearing capacity data, deformation degree data and settlement data are extracted and queried through the preset foundation maintenance database to obtain the foundation maintenance information, including crack grouting information, cross-section reinforcement information, foundation reinforcement information and bearing jacking information. Crack grouting information includes the selection of grouting materials, the control of grouting pressure, the arrangement of grouting points, etc.; cross-section reinforcement information such as increasing the cross-sectional area, increasing the number of steel bars or changing the steel bar arrangement, etc.; foundation reinforcement information such as grouting reinforcement, pile foundation reinforcement, etc.; bearing jacking information includes the selection of jacking equipment, the determination of jacking height, and safety measures during jacking.

[0113] The present invention also discloses an intelligent self-adjusting cap concrete temperature control processing system, comprising a memory and a processor, wherein the memory comprises an intelligent self-adjusting cap concrete temperature control processing method program, and when the intelligent self-adjusting cap concrete temperature control processing method program is executed by the processor, the following steps are implemented:

[0114] Obtain the foundation temperature control system information of the preset area within the preset time period, extract the temperature change monitoring information and the cooling control information, and then respectively extract the raw material information and the concrete thermal information as well as the cooling agent parameter information and the cooling water system information;

[0115] Processing is performed according to the raw material information and the thermal information of concrete to obtain the raw material temperature change index;

[0116] Processing the cooling agent parameter information and the cooling water system information to obtain a cooling efficiency index;

[0117] Acquire and process environmental change monitoring information of a preset area within the preset time period to obtain an environmental fluctuation index;

[0118] The temperature control efficiency index is obtained by processing the raw material temperature change index and the cooling efficiency index in combination with the environmental fluctuation index;

[0119] The temperature control efficiency index is compared with a preset temperature control efficiency index threshold to determine whether the temperature control effect meets the requirements.

[0120] Among them, the present application obtains the information of the temperature control system of the bridge cap, extracts the temperature change monitoring information and the cooling control information, and then respectively extracts the raw material information and the thermal information of the concrete, as well as the cooling agent parameter information and the cooling water system information; according to the raw material information and the thermal information of the concrete, the raw material temperature change index is obtained by processing through the preset raw material temperature change model; according to the cooling agent parameter information and the cooling water system information, the cooling efficiency index is obtained by processing through the preset cooling evaluation model; then the environmental change monitoring information is obtained and processed through the preset environmental change evaluation model to obtain the environmental fluctuation index; according to the raw material temperature change index and the cooling efficiency index combined with the environmental fluctuation index, the temperature control efficiency index is obtained by processing through the preset temperature control evaluation model and compared with the preset temperature control efficiency index threshold to determine whether the temperature control effect meets the requirements. The present application fully considers and covers multiple key aspects of the bridge cap temperature control system, including temperature change monitoring, cooling control, raw material information, concrete thermal, cooling agent parameters and cooling water system information. This comprehensive and comprehensive data collection and analysis improves the accuracy and reliability of the evaluation, and can also timely discover problems and potential risks in the temperature control system to avoid temperature control failure or accidents.

[0121] According to an embodiment of the present invention, the raw material information and the concrete thermal information are processed to obtain the raw material temperature change index, specifically:

[0122] Extracting raw material initial temperature data, raw material ratio data and raw material specific heat parameter data according to the raw material information;

[0123] Extracting friction thermal data and extrusion thermal data according to the concrete thermal information;

[0124] The raw material temperature change index is obtained by processing the raw material initial temperature data, raw material ratio data and raw material specific heat parameter data in combination with the friction thermal data and the extrusion thermal data through a preset raw material temperature change model.

[0125] Among them, in order to grasp and reduce the temperature change of raw materials such as concrete, the initial temperature data of raw materials, raw material ratio data and raw material specific heat parameter data are extracted according to the raw material information; the frictional thermal data and extrusion thermal data are extracted according to the concrete thermal information. The initial temperature data of raw materials refers to the temperature of the raw materials (such as cement, aggregate, water, etc.) when the concrete is mixed; the raw material ratio data refers to the ratio of each raw material in the concrete, that is, the proportion of each raw material in the concrete; the raw material specific heat parameter data refers to the specific heat physical property of various raw materials, which indicates the heat absorbed or released when the unit mass of the material increases or decreases by 1 degree Celsius; the frictional thermal data reflects that the friction between raw materials and between raw materials and equipment will generate heat during the mixing, transportation and pouring of concrete; the extrusion thermal data reflects the heat generated by the extrusion of raw materials during the pouring and vibration of concrete. Then, according to the initial temperature data of raw materials, the raw material ratio data and the raw material specific heat parameter data, combined with the frictional thermal data and the extrusion thermal data, the raw material temperature change index is obtained through the preset raw material temperature change model, which reflects the temperature change of concrete raw materials under specific conditions;

[0126] The calculation formula of the raw material temperature change model is:

[0127]

[0128] Among them, M tc is the raw material temperature change index, m st 、m zb 、m hp 、f ht 、e rh They are respectively the raw material initial temperature data, raw material ratio data, raw material specific heat parameter data, friction thermal data and extrusion thermal data, and ω, υ, τ are preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset temperature control database).

[0129] According to an embodiment of the present invention, the cooling efficiency index is obtained by processing the cooling agent parameter information and the cooling water system information, specifically:

[0130] Extracting cooling agent type data, cooling agent concentration data and cooling agent dosage data according to the cooling agent parameter information;

[0131] Extracting cooling water flow data, inlet and outlet temperature difference data and cooling water system efficiency data according to the cooling water system information;

[0132] The cooling efficiency index is obtained by processing the cooling agent type data, cooling agent concentration data and cooling agent dosage data in combination with the cooling water flow data, inlet and outlet temperature difference data and cooling water system efficiency data through a preset cooling evaluation model.

[0133] Among them, in order to evaluate the cooling efficiency of the cooling measures during pouring, the coolant type data, coolant concentration data and coolant dosage data are extracted according to the coolant parameter information; the cooling water flow data, inlet and outlet temperature difference data and cooling water system efficiency data are extracted according to the cooling water system information. Coolant type data refers to the type of special chemical substance used to reduce the temperature of concrete; coolant concentration data refers to the concentration of the coolant when in use, that is, the proportion of the coolant to the total volume of the solution; coolant dosage data refers to the amount of coolant required to be added per unit volume or weight of concrete; cooling water flow data refers to the flow rate of cooling water circulating in the system; inlet and outlet temperature difference data reflects the heat exchange capacity of cooling water in the system; cooling water system efficiency data reflects the efficiency of the cooling water system in actual operation. Then, the coolant type data, coolant concentration data and coolant dosage data are combined with the cooling water flow data, inlet and outlet temperature difference data and cooling water system efficiency data through the preset cooling evaluation model for processing to obtain the cooling efficiency index, which is used to quantify the effect of the coolant and the cooling water system in reducing the temperature of concrete;

[0134] The calculation formula of the cooling evaluation model is:

[0135]

[0136] Among them, C wp is the cooling efficiency index, a ty 、a c 、a ds 、w fl ,t eo 、w ef They are coolant type data, coolant concentration data, coolant dosage data, cooling water flow data, inlet and outlet temperature data, and cooling water system efficiency data. σ、 ρ is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset temperature control database).

[0137] According to an embodiment of the present invention, the environmental change monitoring information of the preset area within the preset time period is obtained and processed to obtain the environmental fluctuation index, specifically:

[0138] Acquire environmental change monitoring information of a preset area within the preset time period, and extract temperature fluctuation data, sunshine degree data, and wind speed change rate data;

[0139] The temperature fluctuation data, sunshine degree data and wind speed change rate data are processed through a preset ring change evaluation model to obtain an environmental fluctuation index.

[0140] Among them, in order to grasp and reduce the impact of environmental changes on the temperature of concrete during the pouring process, the environmental change monitoring information of the preset area within the preset time period is obtained, and the temperature fluctuation data, sunshine degree data and wind speed change rate data are extracted; the temperature fluctuation data refers to the temperature change of the preset area within the preset time period, such as the temperature change every hour, every day or every week; the sunshine degree data represents the sunshine intensity or sunshine time received by the preset area within the preset time period; the wind speed change rate data refers to the wind speed change of the preset area within the preset time period, including the instantaneous value, average value or change rate of the wind speed. Then, the temperature fluctuation data, sunshine degree data and wind speed change rate data are processed through the preset ring change evaluation model to obtain the environmental fluctuation index, which is used to quantify the degree of environmental change in the preset area within the preset time period;

[0141] The calculation formula of the ring change evaluation model is:

[0142]

[0143] Among them, E ch is the environmental fluctuation index, t fd 、s zt 、w sb They are respectively the temperature fluctuation data, sunshine degree data and wind speed change rate data, π 1 , π 2 is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset temperature control database).

[0144] According to an embodiment of the present invention, the temperature control efficiency index is obtained by processing the raw material temperature change index and the cooling efficiency index in combination with the environmental fluctuation index, specifically:

[0145] The temperature control efficiency index is obtained by processing the raw material temperature change index and the cooling efficiency index in combination with the environmental fluctuation index through a preset temperature control evaluation model.

[0146] In order to evaluate the temperature control effect of concrete, the temperature control efficiency index is obtained by processing the raw material temperature change index and the cooling efficiency index in combination with the environmental fluctuation index through a preset temperature control evaluation model;

[0147] The calculation formula of the temperature control evaluation model is:

[0148] T cφ =|ξC wp 2 -μ(M tc +E ch ) 2 | / λln(E ch +1);

[0149] Among them, T cφ is the temperature control efficiency index, Mtc , C wp 、E ch are raw material temperature variation index, cooling efficiency index and environmental fluctuation index respectively; ξ, μ and λ are preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset temperature control database).

[0150] According to an embodiment of the present invention, the temperature control efficiency index is compared with a preset temperature control efficiency index threshold to determine whether the temperature control effect meets the requirements, specifically:

[0151] Comparing the temperature control efficiency index with a preset temperature control efficiency index threshold, obtaining an efficiency index deviation rate;

[0152] comparing the efficiency index deviation rate with a preset efficiency index deviation rate threshold;

[0153] If the efficiency index deviation rate is greater than or equal to the efficiency index deviation rate threshold, a temperature control failure message is sent;

[0154] If the efficiency index deviation rate is less than the efficiency index deviation rate threshold, a temperature control qualified message is sent;

[0155] If the quality index deviation rate is less than the quality index deviation rate threshold, a quality inspection pass message is sent.

[0156] Among them, in order to improve the efficiency of concrete temperature control during the pouring process, the temperature control efficiency index is compared with the preset temperature control efficiency index threshold to obtain the efficiency index deviation rate, and then compared with the preset efficiency index deviation rate threshold. If the efficiency index deviation rate is greater than or equal to the efficiency index deviation rate threshold, it means that the effect of the temperature control measures has not reached the preset standard, and there may be a risk of unqualified temperature control. It is necessary to send temperature control unqualified information to remind relevant personnel to take further measures; if the efficiency index deviation rate is less than the efficiency index deviation rate threshold, it means that the effect of the temperature control measures has reached the preset standard, the temperature control is qualified, and it is necessary to send temperature control qualified information to confirm the effectiveness of the temperature control measures.

[0157] According to an embodiment of the present invention, it also includes:

[0158] Obtain temperature change rate data of a preset area within a preset time period;

[0159] Comparing the temperature change rate data with a preset temperature change rate threshold, obtaining a rate deviation rate;

[0160] comparing the rate deviation rate with a preset rate deviation rate threshold;

[0161] If the rate deviation rate is greater than or equal to the rate deviation rate threshold, a rate excess message is sent;

[0162] If the rate deviation rate is less than the rate deviation rate threshold, a normal rate message is sent.

[0163] Among them, in order to ensure that the temperature change rate of concrete meets the requirements, the temperature change rate data of the preset area within the preset time period is obtained, and the temperature change rate data is compared with the preset temperature change rate threshold to obtain the rate deviation rate, and then compared with the preset rate deviation rate threshold. If the rate deviation rate is greater than or equal to the rate deviation rate threshold, it means that the temperature change rate exceeds the normal range. At this time, the system needs to send a rate excess information to remind relevant personnel to pay attention and take corresponding measures; if the rate deviation rate is less than the rate deviation rate threshold, it means that the temperature change rate is within the normal range. At this time, the system can send a normal rate information, indicating that the temperature change in the current area is stable.

[0164] According to an embodiment of the present invention, it also includes:

[0165] Obtaining the cap structure detection information of the preset area within the preset time period, and extracting the cap crack data, bearing capacity data, deformation degree data and settlement data;

[0166] According to the cap crack data, bearing capacity data, deformation degree data and settlement data, query through a preset cap maintenance database to obtain cap maintenance information;

[0167] The foundation maintenance information includes crack grouting information, section reinforcement information, foundation reinforcement information and bearing jacking information.

[0168] Among them, in order to strengthen and carry out targeted maintenance of the foundation according to different situations, the foundation structure detection information of the preset area within the preset time period is obtained, the foundation crack data, bearing capacity data, deformation degree data and settlement data are extracted and queried through the preset foundation maintenance database to obtain the foundation maintenance information, including crack grouting information, cross-section reinforcement information, foundation reinforcement information and bearing jacking information. Crack grouting information includes the selection of grouting materials, the control of grouting pressure, the arrangement of grouting points, etc.; cross-section reinforcement information such as increasing the cross-sectional area, increasing the number of steel bars or changing the steel bar arrangement, etc.; foundation reinforcement information such as grouting reinforcement, pile foundation reinforcement, etc.; bearing jacking information includes the selection of jacking equipment, the determination of jacking height, and safety measures during jacking.

[0169] The third aspect of the present invention provides a computer-readable storage medium, which includes a program for an intelligent self-regulating foundation concrete temperature control processing method. When the program for an intelligent self-regulating foundation concrete temperature control processing method is executed by a processor, the steps of the intelligent self-regulating foundation concrete temperature control processing method as described in any one of the above items are implemented.

[0170] The present invention discloses an intelligent self-adjusting cap concrete temperature control processing method, system and medium, which obtains cap temperature control system information, extracts temperature change monitoring information and cooling control information, and then extracts raw material information and concrete thermal information as well as cooling agent parameter information and cooling water system information respectively; processes according to the raw material information and concrete thermal information to obtain the raw material temperature change index; processes according to the cooling agent parameter information and cooling water system information to obtain the cooling efficiency index; then obtains and processes the environmental change monitoring information to obtain the environmental fluctuation index; processes according to the raw material temperature change index and the cooling efficiency index combined with the environmental fluctuation index to obtain the temperature control efficiency index and judge whether the temperature control effect meets the requirements. This application fully considers and covers multiple key aspects of the bridge cap temperature control system, including temperature change monitoring, cooling control, raw material information, concrete thermal, cooling agent parameters and cooling water system information. This comprehensive and comprehensive data collection and analysis improves the accuracy and reliability of the evaluation, and can also timely discover problems and potential risks in the temperature control system to avoid temperature control failure or accidents.

[0171] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0172] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0173] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0174] A person of ordinary skill in the art can understand that: all or part of the steps of implementing the above-mentioned method embodiment can be completed by hardware related to program instructions, and the aforementioned program can be stored in a readable storage medium, which, when executed, executes the steps of the above-mentioned method embodiment; and the aforementioned storage medium includes: mobile storage devices, read-only memories, random access memories, magnetic disks or optical disks, and other media that can store program codes.

[0175] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. An intelligent self-adjusting cap concrete temperature control treatment method, characterized in that: The following steps are involved: Obtain the foundation temperature control system information of the preset area within the preset time period, extract the temperature change monitoring information and the cooling control information, and then respectively extract the raw material information and the concrete thermal information as well as the cooling agent parameter information and the cooling water system information; Processing is performed according to the raw material information and the thermal information of concrete to obtain the raw material temperature change index; Processing the cooling agent parameter information and the cooling water system information to obtain a cooling efficiency index; Acquire and process environmental change monitoring information of a preset area within the preset time period to obtain an environmental fluctuation index; The temperature control efficiency index is obtained by processing the raw material temperature change index and the cooling efficiency index in combination with the environmental fluctuation index; The temperature control efficiency index is compared with a preset temperature control efficiency index threshold to determine whether the temperature control effect meets the requirements.

2. The intelligent self-adjusting cap concrete temperature control treatment method according to claim 1 is characterized in that: The raw material temperature change index is obtained by processing the raw material information and the concrete thermal information, specifically: Extracting raw material initial temperature data, raw material ratio data and raw material specific heat parameter data according to the raw material information; Extracting friction thermal data and extrusion thermal data according to the concrete thermal information; The raw material temperature change index is obtained by processing the raw material initial temperature data, raw material ratio data and raw material specific heat parameter data in combination with the friction thermal data and the extrusion thermal data through a preset raw material temperature change model.

3. The intelligent self-adjusting cap concrete temperature control treatment method according to claim 2 is characterized in that: The cooling efficiency index is obtained by processing the cooling agent parameter information and the cooling water system information, specifically: Extracting cooling agent type data, cooling agent concentration data and cooling agent dosage data according to the cooling agent parameter information; Extracting cooling water flow data, inlet and outlet temperature difference data and cooling water system efficiency data according to the cooling water system information; The cooling efficiency index is obtained by processing the cooling agent type data, cooling agent concentration data and cooling agent dosage data in combination with the cooling water flow data, inlet and outlet temperature difference data and cooling water system efficiency data through a preset cooling evaluation model.

4. The intelligent self-adjusting cap concrete temperature control treatment method according to claim 3 is characterized in that: The step of acquiring and processing the environmental change monitoring information of the preset area within the preset time period to obtain the environmental fluctuation index is specifically as follows: Acquire environmental change monitoring information of a preset area within the preset time period, and extract temperature fluctuation data, sunshine degree data, and wind speed change rate data; The temperature fluctuation data, sunshine degree data and wind speed change rate data are processed through a preset ring change evaluation model to obtain an environmental fluctuation index.

5. The intelligent self-adjusting cap concrete temperature control treatment method according to claim 4 is characterized in that: The temperature control efficiency index is obtained by processing the raw material temperature change index and the cooling efficiency index in combination with the environmental fluctuation index, specifically: The temperature control efficiency index is obtained by processing the raw material temperature change index and the cooling efficiency index in combination with the environmental fluctuation index through a preset temperature control evaluation model.

6. The intelligent self-adjusting cap concrete temperature control treatment method according to claim 5 is characterized in that: The temperature control efficiency index is compared with a preset temperature control efficiency index threshold to determine whether the temperature control effect meets the requirements, specifically: Comparing the temperature control efficiency index with a preset temperature control efficiency index threshold, obtaining an efficiency index deviation rate; comparing the efficiency index deviation rate with a preset efficiency index deviation rate threshold; If the efficiency index deviation rate is greater than or equal to the efficiency index deviation rate threshold, a temperature control failure message is sent; If the efficiency index deviation rate is less than the efficiency index deviation rate threshold, the temperature control qualified information is sent.

7. An intelligent self-adjusting cap concrete temperature control treatment system, characterized in that: The method comprises a memory and a processor, wherein the memory comprises a program of an intelligent self-adjusting cap concrete temperature control processing method, and when the program of the intelligent self-adjusting cap concrete temperature control processing method is executed by the processor, the following steps are implemented: Obtain the foundation temperature control system information of the preset area within the preset time period, extract the temperature change monitoring information and the cooling control information, and then respectively extract the raw material information and the concrete thermal information as well as the cooling agent parameter information and the cooling water system information; Processing is performed according to the raw material information and the thermal information of concrete to obtain the raw material temperature change index; Processing the cooling agent parameter information and the cooling water system information to obtain a cooling efficiency index; Acquire and process environmental change monitoring information of a preset area within the preset time period to obtain an environmental fluctuation index; The temperature control efficiency index is obtained by processing the raw material temperature change index and the cooling efficiency index in combination with the environmental fluctuation index; The temperature control efficiency index is compared with a preset temperature control efficiency index threshold to determine whether the temperature control effect meets the requirements.

8. The intelligent self-adjusting cap concrete temperature control system according to claim 7 is characterized in that: The raw material temperature change index is obtained by processing the raw material information and the concrete thermal information, specifically: Extracting raw material initial temperature data, raw material ratio data and raw material specific heat parameter data according to the raw material information; Extracting friction thermal data and extrusion thermal data according to the concrete thermal information; The raw material temperature change index is obtained by processing the raw material initial temperature data, raw material ratio data and raw material specific heat parameter data in combination with the friction thermal data and the extrusion thermal data through a preset raw material temperature change model.

9. The intelligent self-adjusting cap concrete temperature control system according to claim 8, characterized in that: The cooling efficiency index is obtained by processing the cooling agent parameter information and the cooling water system information, specifically: Extracting cooling agent type data, cooling agent concentration data and cooling agent dosage data according to the cooling agent parameter information; Extracting cooling water flow data, inlet and outlet temperature difference data and cooling water system efficiency data according to the cooling water system information; The cooling efficiency index is obtained by processing the cooling agent type data, cooling agent concentration data and cooling agent dosage data in combination with the cooling water flow data, inlet and outlet temperature difference data and cooling water system efficiency data through a preset cooling evaluation model.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a program for an intelligent self-regulating foundation concrete temperature control processing method. When the program for an intelligent self-regulating foundation concrete temperature control processing method is executed by a processor, the steps of an intelligent self-regulating foundation concrete temperature control processing method as described in any one of claims 1 to 6 are implemented.

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