A concrete crack monitoring, analysis and maintenance system

Abstract

The present invention relates to the technical field of crack monitoring, analysis and maintenance systems, and specifically to a concrete crack monitoring, analysis and maintenance system, comprising: a database for storing corresponding data required for crack monitoring; an optical fiber sensor for measuring internal strain of concrete and detecting structural integrity; a tunable laser for scanning the emission intensity of optical wavelengths of optical fibers under different deformation conditions; a data processing unit for processing and calculating corresponding data; an early warning unit for issuing early warnings for factor data with a high probability of causing cracks; a positioning module for corresponding position data of the pouring position of concrete; and a crack factor monitoring unit for monitoring factor data of concrete crack formation. The present invention is conducive to timely discovering and handling crack problems in concrete structures, and then timely carrying out maintenance and prevention for the problem, providing more reliable protection for the safety and durability of engineering structures.

Description

Technical Field

[0001] The invention relates to the technical field of crack monitoring, analysis and maintenance systems, and in particular to a concrete crack monitoring, analysis and maintenance system. Background Art

[0002] With the continuous advancement of engineering construction, engineering quality supervision has received increasing attention. Engineering projects are used for a long time after completion, and accidents have a great impact on casualties, so it is very important to ensure the quality of the project. In construction projects, concrete is the most used material, which has good plasticity, durability and economy. However, since concrete is a brittle material, cracks are inevitable even under standardized pouring and maintenance conditions. The appearance of cracks not only affects the appearance of the building, but also endangers the normal use of the building and the durability of the structure. Therefore, the monitoring and prevention of concrete cracks has important practical significance.

[0003] However, existing concrete monitoring systems are insufficient in their analysis capabilities and are unable to conduct intelligent analysis based on the concrete environment and crack conditions, making it difficult to track and evaluate the development of concrete cracks, and thus unable to better perform maintenance, resulting in quality problems and hidden dangers.

[0004] Based on this, a concrete crack monitoring, analysis and maintenance system is proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a concrete crack monitoring, analysis and maintenance system to solve the problems raised by the above-mentioned background technology.

[0006] The object of the present invention can be achieved by the following technical scheme: a concrete crack monitoring, analysis and maintenance system, comprising a crack factor monitoring unit, the crack factor monitoring unit is used to monitor the crack factor data of the position after concrete pouring in real time; wherein the crack factor data includes environmental factor data and load intensity data; and further comprising a data processing unit and a crack maintenance processing unit:

[0007] The data processing unit processes and analyzes the crack factor data, and the specific process is as follows:

[0008] Analyze environmental factor data to obtain humidity, temperature, wind speed and temperature difference between day and night;

[0009] The humidity, temperature and wind speed are processed separately to obtain the corresponding temperature shadow value, low humidity shadow value and wind shadow value;

[0010] Substitute the temperature shadow value, low humidity shadow value, wind shadow value and the value of the temperature difference between day and night into the preset ring-shaped crack model to output the ring-shaped crack index P1; , AC1, BC1, C are the values ​​of temperature shadow value, low humidity shadow value and wind shadow value respectively, β1, β2, β3, β4 are the set proportional coefficient factors respectively, CY is the wind shadow threshold; D is the value of the day and night temperature difference;

[0011] Compare the ring-shaped crack index P1 with the crack influence range (-V, +V). If P1∈(-V, +V), the ring-shaped crack index, the corresponding environmental factor data, and the temperature shadow value, low humidity shadow value, and wind shadow value are sent to the crack maintenance processing unit; V is a constant;

[0012] The load intensity data is parsed to obtain the real-time values ​​of the load intensity, which are U0, U1, U2, U3, ..., respectively. U0, U1, U2, U3, ... are respectively set as the radius to draw a circle. At the same time, the load intensity threshold value set in the database for the corresponding time period is obtained, and then the circle is drawn with the set value as the radius. If the real-time value of the load intensity is within the range of the load intensity threshold value, a normal signal is generated, otherwise, a load intensity abnormal signal is generated; the load intensity data and the load intensity abnormal signal are sent to the crack factor monitoring unit;

[0013] The crack curing treatment unit performs curing treatment on concrete.

[0014] As a further improvement of the present invention, the specific process of the crack curing treatment unit performing curing treatment on concrete is as follows:

[0015] When P1∈(-V,+V), and the temperature shadow value or low humidity shadow value is greater than the corresponding set threshold, a prompt instruction is generated to spray water on the concrete surface to cool it down and cover it with plastic film, and the corresponding water spraying equipment is controlled to spray water, and then the plastic film covering equipment is controlled to work and cover it with plastic film;

[0016] When P1∈(-V,+V), and the wind shadow value is greater than the set threshold, a prompt instruction to cover the surface of the concrete with a baffle is generated and fed back to the corresponding personnel's smart terminal. After receiving the prompt instruction through the smart terminal, the personnel cover the surface of the concrete with a baffle;

[0017] When P1∈(-V,+V), and the temperature difference between day and night is greater than the corresponding set threshold, a prompt instruction to use a quilt or other warming device at night is generated and fed back to the corresponding personnel's smart terminal, and the warming device is used to cover and keep warm, and water is sprinkled during the day;

[0018] When an abnormal load intensity signal is received, the width, depth and direction of the concrete crack state are determined based on the load intensity and extension path; the concrete crack type is identified and determined based on this, and the corresponding maintenance recommendations are matched; the types include temperature cracks, shrinkage cracks and external load cracks.

[0019] As a further improvement of the present invention, the specific process of processing humidity is as follows:

[0020] Get the values ​​corresponding to all humidity, and mark the humidity values ​​less than the set threshold as low humidity values; count the values ​​of all low humidity values ​​and mark them as the low humidity total value DS1, and calculate the average value of all low humidity values ​​to get the low humidity mean DS2; get the minimum low humidity value and mark it as DS3, normalize the low humidity total value, low humidity mean and minimum low humidity value, and substitute them into the preset formula BC1=DS1×us1 / (DS2×us1+DS3×us3+1) to get the low humidity shadow value BC1; among them, us1, us2 and us3 are all preset weight factors.

[0021] As a further improvement of the present invention, the specific process of processing temperature is: all temperatures are sorted according to the time sequence of collection, the difference between two adjacent temperatures is calculated to obtain an adjacent temperature difference, if the adjacent temperature difference is greater than the set adjacent threshold, the adjacent temperature difference is marked as a preliminary temperature difference, if the temperature in the front sorting is less than the temperature in the back sorting, the preliminary temperature difference is marked as a temperature rise temperature difference; if the temperature in the front sorting is greater than the temperature in the back sorting, the preliminary temperature difference is marked as a temperature drop temperature difference; all the values ​​of the temperature rise temperature differences are summed to obtain a total temperature rise value WT1, and all the temperature drop temperature differences are summed to obtain a total temperature drop value WT2; the weight factors corresponding to the total temperature rise value and the total temperature drop value are set to ut1 and ut2, and ut2>ut1>0.5; substitute into the formula AC1=WT1×ut1+WT2×ut2+WT3×ut3 to obtain the temperature shadow value AC1; wherein WT3 is the average value of all temperatures, and ut3 is the weight factor corresponding to the average value.

[0022] As a further improvement of the present invention, the specific process of processing wind speed is as follows: obtain all wind speeds, compare them with the wind speed threshold, count the number of wind speeds greater than the wind speed threshold, if the number of wind speeds is greater than zero, set several wind speed ranges, each wind speed range corresponds to an influence coefficient, if the wind speed is within the wind speed range, match the influence coefficient corresponding to the wind speed range; match all wind speeds with several wind speed ranges to obtain corresponding influence coefficients, and then sum up the values ​​corresponding to all influence coefficients to obtain the total shadow value; calculate the average value of all wind speed values ​​to obtain the average wind speed, input the values ​​of the number of wind speeds, the total shadow value and the average wind speed into a computer, and convert them into corresponding lengths according to a preset ratio, draw two perpendicular intersecting straight lines with the lengths of the number of wind speeds and the total shadow value, connect the two ends of the straight lines in sequence to obtain a rhombus, select the center point of the rhombus as the starting point, use the value of the average wind speed as the height of the rhombus, and construct a tetrahedron with the rhombus and the height; select the volume of the tetrahedron and mark the volume value as the wind shadow value.

[0023] As a further improvement of the present invention, it also includes:

[0024] The environmental data monitoring module monitors the environmental factor data of the concrete pouring location in real time to obtain the environmental factor data;

[0025] The load monitoring module is used to monitor the load intensity data borne by the concrete pouring position to obtain the load intensity data;

[0026] The early warning unit is used to issue an early warning for the data of factors with a high probability of causing cracks when the probability of cracks occurring at the concrete pouring position is higher than a fixed threshold, and transmit the corresponding maintenance prevention suggestions to the mobile terminal of the on-duty maintenance personnel.

[0027] As a further improvement of the present invention, it also includes:

[0028] The positioning module is used to locate the pouring position of concrete, scan and identify its position characteristics, obtain corresponding position data, and compare the position data with the set position data in the database. If the comparison is successful, the crack factor data required to monitor the pouring of concrete at this position is obtained and sent to the crack factor monitoring unit.

[0029] Compared with the prior art, the present invention has the following beneficial effects:

[0030] The present invention adopts fiber Bragg grating technology (FBG) combined with a tunable laser to realize real-time monitoring of the strain and crack development of the structure after concrete pouring, and cooperates with real-time monitoring of external factors of the concrete pouring position, which is conducive to providing strong technical support for the control of engineering quality. By timely discovery and prevention, the occurrence of concrete cracks can be reduced, which can effectively improve the safety and durability of engineering structures, help reduce the occurrence of engineering quality accidents, reduce maintenance costs and extend service life. In addition, FBG technology has the characteristics of intrinsic safety, anti-electromagnetic interference, strong durability, etc., and is suitable for monitoring in various harsh environments, which means that it has great application potential in a variety of engineering structures.

[0031] The present invention monitors the external environment and load stress of concrete pouring in real time, which is conducive to timely discovery and treatment of crack problems in concrete structures, and then timely maintenance and prevention are carried out for the problem areas, reducing engineering quality accidents and maintenance costs, and providing more reliable protection for the safety and durability of engineering structures.

[0032] The present invention uses a data processing unit to process and calculate crack factor data to obtain a ring-made crack index, performs intelligent analysis on the ring-made crack index and the crack factor data, and executes corresponding maintenance operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0034] Figure 1 It is a schematic diagram of the system of the present invention;

[0035] Figure 2 It is the principle flow chart of the present invention;

[0036] Figure 3 It is a schematic diagram of low probability data processing of the present invention;

[0037] Figure 4 It is a schematic diagram of high probability data processing of the present invention;

[0038] Figure 5 It is a schematic diagram of the graphical processing of load force data of the present invention. DETAILED DESCRIPTION

[0039] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0040] See also Figure 1-Figure 5 As shown, a concrete crack monitoring, analysis and maintenance system includes a database, an optical fiber sensor, a tunable laser, an environmental data monitoring module, a load monitoring module, a data processing unit, an early warning unit, a positioning module, a crack factor monitoring unit and a crack maintenance processing unit:

[0041] The database is used to store the crack factor data that needs to be monitored at different concrete pouring locations in different time periods, and also includes maintenance recommendations for preventing concrete cracks and data on determining the type of concrete cracks.

[0042] Fiber optic sensors are used to measure internal strain and structural integrity in concrete before it cures.

[0043] The tunable laser is used to scan the emission intensity of the optical signal at the Bragg grating of the optical fiber under different deformation conditions.

[0044] The data processing unit is used to process and calculate the crack factor data, determine the probability of crack formation, and take timely prevention measures; the crack factor data includes environmental factor data and load intensity data;

[0045] The specific process is as follows: after obtaining the location data corresponding to the concrete pouring location, the environmental factor data required to monitor the concrete pouring location is obtained, and the environmental factor data includes humidity, temperature, wind speed and temperature difference between day and night;

[0046] All temperatures are sorted according to the order of collection time, and the difference between two adjacent temperatures is calculated to obtain the adjacent temperature difference. If the adjacent temperature difference is greater than the set adjacent threshold, the adjacent temperature difference is marked as the preliminary temperature difference. If the temperature in the front order is less than the temperature in the back order, the preliminary temperature difference is marked as the temperature rise temperature difference; if the temperature in the front order is greater than the temperature in the back order, the preliminary temperature difference is marked as the temperature drop temperature difference; all the values ​​of the temperature rise temperature differences are summed to obtain the total temperature rise value WT1, and all the temperature drop temperature differences are summed to obtain the total temperature drop value WT2; the weight factors corresponding to the total temperature rise value and the total temperature drop value are set to ut1 and ut2, and ut2>ut1>0.5; substitute into the formula AC1=WT1×ut1+WT2×ut2+WT3×ut3 to obtain the temperature shadow value AC1; wherein WT3 is the average value of all temperatures, and ut3 is the weight factor corresponding to the average value, and its size is customized by technicians in this field according to actual use.

[0047] Obtain the values ​​corresponding to all humidity, and mark the humidity values ​​less than the set threshold as low humidity values; count the values ​​of all low humidity values ​​and mark them as the low humidity total value DS1, and calculate the average value of all low humidity values ​​to obtain the low humidity mean value DS2; obtain the minimum low humidity value and mark it as DS3, normalize the low humidity total value, the low humidity mean value and the minimum low humidity value, and substitute them into the preset formula BC1=DS1×us1 / (DS2×us1+DS3×us3+1) to obtain the low humidity shadow value BC1; wherein us1, us2 and us3 are all preset weight factors, and their sizes are customized by technicians in this field according to actual use;

[0048] Get all wind speeds and compare them with the wind speed threshold, where the wind speed threshold is a custom setting and its size is 16m / s in this application; count the number of wind speeds greater than the wind speed threshold, if the number of wind speeds is greater than zero, set several wind speed ranges, each wind speed range corresponds to an influence coefficient, if the wind speed is within the wind speed range, match the influence coefficient corresponding to the wind speed range; match all wind speeds with several wind speed ranges to obtain the corresponding influence coefficients, and then sum up the values ​​corresponding to all the influence coefficients to obtain the total value of the shadow system; calculate the The average wind speed is obtained by taking the average value of the wind speed value, the values ​​of the wind speed quantity, the total value of the shadow system and the average wind speed are input into the computer, and converted into corresponding lengths according to a preset ratio, two perpendicular intersecting straight lines are drawn with the lengths of the wind speed quantity and the total value of the shadow system, and the two ends of the straight lines are connected in sequence to obtain a rhombus, the center point of the rhombus is selected as the starting point, the value of the average wind speed is used as the height of the rhombus, and a quadrangular pyramid is constructed with the rhombus and the height; the volume of the quadrangular pyramid is selected and the volume value is marked as the wind shadow value C; if the wind speed quantity is equal to zero, the wind shadow value is directly taken as the preset value;

[0049] Substitute the preset ring-shaped crack model to output the ring-shaped crack index P1, , β1, β2, β3, β4 represent the set proportional coefficient factors respectively, CY is the wind shadow threshold; D is the value of the day and night temperature difference, and the minimum to maximum values ​​within the crack influence range set in the database are obtained and set to -V, +V respectively, and V is a constant; P1 is matched with the crack influence range of (-V, +V). If P1 < -V, it indicates that the probability of P1 causing crack formation is low. On the contrary, if P1∈(-V, +V), it indicates that the probability of P1 causing crack formation is high, and it is further analyzed through the crack maintenance treatment unit;

[0050] After obtaining the position data corresponding to the concrete pouring position, the load intensity data required to be monitored for pouring concrete at this position is obtained. The calculation method for the load intensity data is as follows: if the real-time values ​​of the load intensity required to be monitored for pouring concrete at this position are U0, U1, U2, U3, ..., respectively, then substitute U0, U1, U2, U3, ... into the graphic processing and set them as the radius to draw a circle. At the same time, the load intensity threshold value for the corresponding time period set in the database is obtained and marked as U2', then substitute U2' into the graphic processing and set it as the radius to draw a circle, as shown in the attached figure. Figure 5 As shown, if the real-time value of the load intensity is within the range of the load intensity threshold U2', it indicates that the load intensity is normal, a normal signal is generated, and the probability of crack formation is low. Otherwise, it indicates that the load intensity is abnormal, and an abnormal load intensity signal is generated; the probability of crack formation is high, and it is further analyzed by the crack maintenance processing unit.

[0051] The positioning module is used to locate the pouring position of concrete, scan and identify its position characteristics, obtain the corresponding position data, compare the position data with the set position data in the database, obtain the crack factor data required to monitor the pouring of concrete at the position, and send it to the crack factor monitoring unit, specifically:

[0052] The concrete pouring position is located by intelligent monitoring and positioning equipment or manually inputting position information, and its position characteristics, such as beams, plates, columns and the environment, are obtained based on the positioning. The positioning and position characteristics are converted into data to obtain the corresponding position data. Based on this position data, the corresponding set position data is searched in the database for comparison. If the comparison is successful, the crack factor data required for monitoring the concrete pouring at this position is obtained and sent to the crack factor monitoring unit;

[0053] If the comparison fails, the set position data will be searched again for comparison. If no matching position data is found in the database, the position data will be marked as missing data, and the crack factor data to be monitored will be manually entered and re-entered. After the entry is completed, it can be sent to the crack factor monitoring unit.

[0054] The crack factor monitoring unit includes an environmental data monitoring module and a load monitoring module, which is used to monitor the environmental factor data of the location after the concrete is poured in real time according to the received crack factor data, and to monitor the load intensity data of the location after the concrete is poured in real time;

[0055] The environmental factor data obtained by real-time monitoring is matched with the environmental factor data set in the database, and the abnormal data is screened out as crack factor data, which is sent to the crack maintenance processing unit together with the monitored load intensity data;

[0056] The environmental data monitoring module is used to monitor the environmental factors of the concrete pouring location in real time, including monitoring the environmental humidity, temperature, wind speed and temperature difference parameters. The environmental data is monitored in real time through various sensors to obtain the real-time impact data of the environmental factors faced by the concrete pouring location in each time period;

[0057] At the same time, the environmental humidity, temperature, wind speed and temperature difference parameters set in the database are selected from the maximum to the minimum value within the crack influence range to set the environmental factor influence reference interval, and the monitored real-time environmental factor data is matched with the set environmental factor influence reference interval. If the environmental factor data is within the reference interval, the probability of cracks is low, and if the environmental factor data is outside the reference interval, the probability of cracks is high;

[0058] The real-time monitored environmental humidity, temperature, wind speed and temperature difference parameters are set as A, B, C and D respectively, and the parameter fluctuation graph is set according to the changes in the time period. At the same time, the environmental humidity, temperature, wind speed and temperature difference parameters set in the database are set as , and set the parameter fluctuation diagram according to the change of time period, and set the parameter fluctuation diagram reference interval by selecting the maximum value max to the minimum value min within the crack influence range of the set environmental factor data, which are recorded as the environmental humidity interval , temperature range , wind speed range , temperature range ;

[0059] Match the real-time monitored environmental factor data parameter fluctuation graph with the set environmental factor data parameter fluctuation graph, such as Figure 3-Figure 4 As shown, if any environmental factor data is within the reference interval, the probability of the environmental factor causing cracks is low; if any environmental factor data is outside the reference interval, the probability of the environmental factor causing cracks is high;

[0060] The early warning unit issues early warning for environmental factors with a high probability of causing cracks, and transmits relevant information and maintenance suggestions to the mobile terminal of the maintenance staff on duty;

[0061] The load monitoring module is used to monitor the load intensity data of the concrete pouring position. Specifically, the optical fiber sensor is placed before the concrete solidifies to measure the internal strain of the concrete and detect the structural integrity. When the load intensity of the concrete is high, the probability of cracks is higher. The specific monitoring method is as follows:

[0062] By burying the optical fiber sensors in the concrete in a grid-like pattern, and connecting the optical fiber sensors in both the horizontal and vertical directions to tunable lasers, the load force borne by the concrete will cause the optical fiber sensors to stretch and deform. When the optical fiber sensors are stretched, the wavelength of the reflected light will change. The emission intensity of the optical signal at the Bragg grating of the optical fiber under different deformation conditions can be scanned by the tunable laser. The higher the intensity, the greater the tensile deformation of the optical fiber sensor, and the higher the probability of cracks. On the contrary, the probability of cracks is low.

[0063] For example, when the optical fiber sensor is in an initial state without tensile deformation, the emission intensity of the optical wavelength scanned by the tunable laser is U0. If the emission intensity of the optical wavelength within the crack range set in the database is U2, when the optical fiber sensor is in a tensile deformation state, the emission intensity of the optical wavelength scanned by the tunable laser is U1, then the probability of cracks within the concrete bearing range is low. If the emission intensity of the optical wavelength scanned by the tunable laser is U2, then the probability of cracks within the concrete bearing range is medium. If the emission intensity of the optical wavelength scanned by the tunable laser is U3, it indicates that the load on the concrete is large and the probability of cracks is high.

[0064] The crack factor data is formed through comprehensive analysis of the environmental factor data and the load intensity data and sent to the crack maintenance processing unit.

[0065] The crack maintenance processing unit receives the crack factor data and predicts the crack form, including the width, depth and direction of the crack, and identifies the crack based on the crack factor data and the crack form to determine its type and provide corresponding maintenance suggestions, specifically:

[0066] By receiving the environmental factor data to determine the probability of cracks, the probability of cracks is predicted, and corresponding maintenance suggestions are provided for environmental factors with a high probability of cracks;

[0067] At the location where the concrete is poured, when P1∈(-V, +V) and the temperature shadow value or low humidity shadow value is greater than the corresponding set threshold, a prompt instruction is generated to spray water on the concrete surface to cool it down and cover it with plastic film, and the corresponding water spraying equipment is controlled to spray water, and then the plastic film covering equipment is controlled to work and cover it with plastic film to prevent excessive evaporation of water on the concrete surface and cause cracking; when P1∈(-V, +V) and the wind shadow value is greater than the set threshold, a prompt instruction is generated to cover the surface of the concrete with a baffle and the instruction is fed back to the smart terminal of the corresponding personnel. After receiving the prompt instruction through the smart terminal, the personnel cover the surface of the concrete with a baffle, which can prevent the concrete from being excessively dried and cracked while shading; when P1∈(-V, +V) and the temperature difference between day and night is greater than the corresponding set threshold, a prompt instruction is generated to use a quilt or other warming device at night and the instruction is fed back to the smart terminal of the corresponding personnel, and the warming device is used to cover and keep warm, and water is sprinkled during the day. Sprinkling water during the day to cool down prevents cracking caused by the temperature difference.

[0068] By receiving the load intensity data, the probability of cracks is determined, the probability of cracks is predicted, and corresponding maintenance suggestions are provided for the load intensity with a high probability of cracks.

[0069] According to the magnitude of the load and the extension path, the width, depth and direction of the concrete cracks are determined, and the types of concrete cracks are identified, such as temperature cracks, shrinkage cracks and external load cracks, and corresponding maintenance suggestions are provided;

[0070] For example, temperature cracks are caused by the fact that cement releases a large amount of hydration heat during the hardening of concrete, and the internal temperature continues to rise, causing tensile stress on the surface. Later, due to the constraints of the foundation or old concrete, the drop in temperature will also cause great tensile stress on the concrete surface. When these tensile stresses exceed the concrete's crack resistance, cracks will appear. Therefore, temperature cracks can be addressed by increasing ventilation and spraying water to cool down the concrete to increase the rate of heat dissipation in the concrete.

[0071] When the probability of cracks occurring at the concrete pouring location is higher than a fixed threshold, the early warning unit issues an early warning for the data of factors with a high probability of causing cracks, and transmits the corresponding maintenance prevention suggestions to the mobile terminal of the on-duty maintenance personnel.

[0072] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A concrete crack monitoring, analysis and maintenance system, comprising a crack factor monitoring unit, the crack factor monitoring unit being used to monitor the crack factor data of the position after concrete pouring in real time; wherein the crack factor data comprises environmental factor data and load intensity data; characterized in that: It also includes data processing unit and crack maintenance processing unit: The data processing unit processes and analyzes the crack factor data, and the specific process is as follows: Analyze environmental factor data to obtain humidity, temperature, wind speed and temperature difference between day and night; The humidity, temperature and wind speed are processed separately to obtain the corresponding temperature shadow value, low humidity shadow value and wind shadow value; Substitute the temperature shadow value, low humidity shadow value, wind shadow value and the value of the temperature difference between day and night into the preset ring-shaped crack model to output the ring-shaped crack index P1. , where AC1, BC1 and C are the values ​​of temperature shadow value, low humidity shadow value and wind shadow value respectively, β1, β2, β3 and β4 are the set proportional coefficient factors respectively, CY is the wind shadow threshold, and D is the value of the day and night temperature difference; Compare the ring-shaped crack index P1 with the crack influence range (-V, +V). If P1∈(-V, +V), the ring-shaped crack index, the corresponding environmental factor data, and the temperature shadow value, low humidity shadow value, and wind shadow value are sent to the crack maintenance processing unit; V is a constant; The load intensity data is parsed to obtain the real-time values ​​of the load intensity, which are U0, U1, U2, U3, ..., respectively. U0, U1, U2, U3, ... are set as the radius to draw a circle, and the load intensity threshold value set in the database for the corresponding time period is obtained. Then, a circle is drawn with the set value as the radius. If the real-time value of the load intensity is within the range of the load intensity threshold value, a normal signal is generated; if the real-time value of the load intensity is not within the range of the load intensity threshold value, a load intensity abnormal signal is generated; the load intensity data and the load intensity abnormal signal are sent to the crack factor monitoring unit; The crack curing treatment unit performs curing treatment on the concrete; The specific process of the crack maintenance treatment unit for concrete maintenance treatment is as follows: when P1∈(-V, +V), and the temperature shadow value or the low humidity shadow value is greater than the corresponding set threshold, a prompt instruction is generated to spray water on the concrete surface to cool it down and cover it with a plastic film, and the corresponding water spraying equipment is controlled to spray water, and then the plastic film covering equipment is controlled to work to cover it with a plastic film; When P1∈(-V,+V), and the wind shadow value is greater than the set threshold, a prompt instruction to cover the surface of the concrete with a baffle is generated and fed back to the corresponding personnel's smart terminal. After receiving the prompt instruction through the smart terminal, the personnel cover the surface of the concrete with a baffle; When P1∈(-V,+V), and the temperature difference between day and night is greater than the corresponding set threshold, a prompt instruction to use a heater at night is generated and fed back to the corresponding personnel's smart terminal, and the heater is used to cover and keep warm, and water is sprinkled during the day; When receiving the abnormal load intensity signal, the width, depth and direction of the concrete cracks are determined according to the load intensity and extension path; based on this, the concrete crack type is identified and determined, and corresponding maintenance recommendations are matched; The types include temperature cracks, shrinkage cracks and external load cracks; The specific process of processing humidity is as follows: obtain the values ​​corresponding to all humidity, and mark the humidity values ​​less than the set threshold as low humidity values; count the values ​​of all low humidity values ​​and mark them as the low humidity total value DS1, and calculate the average value of all low humidity values ​​to obtain the low humidity mean value DS2; obtain the minimum low humidity value and mark it as DS3, normalize the low humidity total value, low humidity mean value and minimum low humidity value, and substitute them into the preset formula BC1=DS1×us1 / (DS2×us1+DS3×us3+1) to obtain the low humidity shadow value BC1; among them, us1, us2 and us3 are all preset weight factors; The specific process of processing the temperature is as follows: sort all the temperatures according to the order of the time of collection, calculate the difference between two adjacent temperatures to obtain the adjacent temperature difference, if the adjacent temperature difference is greater than the set adjacent threshold, mark the adjacent temperature difference as the preliminary temperature difference, if the temperature in the front order is less than the temperature in the back order, mark the preliminary temperature difference as the temperature rise temperature difference; if the temperature in the front order is greater than the temperature in the back order, mark the preliminary temperature difference as the temperature drop temperature difference; sum up all the values ​​of the temperature rise temperature difference to obtain the total temperature rise value WT1, sum up all the temperature drop temperature differences to obtain the total temperature drop value WT2; set the weight factors corresponding to the total temperature rise value and the total temperature drop value to ut1 and ut2, and ut2>ut1>0.5; substitute into the formula AC1=WT1×ut1+WT2×ut2+WT3×ut3 to obtain the temperature shadow value AC1; where WT3 is the average value of all temperatures, and ut3 is the weight factor corresponding to the average value; The specific process of processing wind speed is as follows: obtain all wind speeds, compare them with the wind speed threshold, count the number of wind speeds greater than the wind speed threshold, if the number of wind speeds is greater than zero, set several wind speed ranges, each wind speed range corresponds to an influence coefficient, if the wind speed is within the wind speed range, match the influence coefficient corresponding to the wind speed range; match all wind speeds with several wind speed ranges to obtain the corresponding influence coefficients, and then sum the values ​​corresponding to all the influence coefficients to obtain the total value of the shadow system; Calculate the average value of all wind speed values ​​to get the average wind speed, input the values ​​of wind speed quantity, total shadow value and average wind speed into the computer, and convert them into corresponding lengths according to the preset ratio, draw two perpendicular intersecting straight lines with the lengths of wind speed quantity and total shadow value, connect the two ends of the straight lines in sequence to get a rhombus, select the center point of the rhombus as the starting point, use the average wind speed value as the height of the rhombus, and construct a tetrahedron with the rhombus and the height; select the volume of the tetrahedron and mark the volume value as the wind shadow value.

2. A concrete crack monitoring, analysis and maintenance system according to claim 1, characterized in that: Also includes: The environmental data monitoring module monitors the environmental factor data of the concrete pouring location in real time to obtain the environmental factor data; The load monitoring module is used to monitor the load intensity data borne by the concrete pouring position to obtain the load intensity data; The early warning unit is used to issue an early warning for the data of factors with a high probability of causing cracks when the probability of cracks occurring at the concrete pouring position is higher than a fixed threshold, and transmit the corresponding maintenance prevention suggestions to the mobile terminal of the on-duty maintenance personnel.

3. A concrete crack monitoring, analysis and maintenance system according to claim 1, characterized in that: Also includes: The positioning module is used to locate the pouring position of concrete, scan and identify its position characteristics, obtain corresponding position data, and compare the position data with the set position data in the database. If the comparison is successful, the crack factor data required to monitor the pouring of concrete at this position is obtained and sent to the crack factor monitoring unit.

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