Polyurethane sports field material data processing system and method

Abstract

The invention discloses a polyurethane sports field material data processing system and method. The method comprises the following steps: acquiring first environment data and first flow data of a plurality of material conveying mechanisms; determining a first adjustment coefficient according to the first environment data and the type of the conveyed raw material; adjusting the first flow data by using the first adjustment coefficient to obtain second flow data; determining the composition proportion of the first material according to the second flow data; determining a first error value between the first material component proportion and a preset material component proportion; and working parameters of the material conveying mechanism are adjusted or an early warning signal is output according to the first error value. By means of the scheme, the matching accuracy of the conveyed multiple component raw materials can be improved, and the problems that due to the fact that the matching is not accurate, the service life of the prepared site quality is short, and even due to the fact that the requirement is not met, shoveling-off and re-laying are needed are avoided. The scheme can be widely applied to the technical field of site preparation.

Description

Technical Field

[0001] The present invention relates to the technology of material data processing, and particularly to a polyurethane sports ground material data processing system and method. Background Art

[0002] With the rapid development of the sports industry and the increasing emphasis on health management by people, more and more places (such as professional sports venues, communities, parks, enterprise parks, health centers for the middle-aged and elderly, etc.) will be equipped with corresponding types of sports grounds to meet the sports needs of different people on the premise of meeting the configuration requirements. Considering various aspects such as the performance of the sports ground, construction technology, and cost, many current sports grounds are prepared based on polyurethane materials, such as stadiums, runways, and footpaths.

[0003] Generally, during the construction of a polyurethane sports ground, raw materials are first mixed according to the determined material composition ratio, and then paved and cured to complete the preparation of the sports ground. For the material composition ratio of this site, its accuracy is very important. If the ratio is inaccurate during raw material mixing, it will lead to defects in the performance of the finally prepared site, reduce its service life, and even cause the need to shovel off the material and re-pave during the construction process, which not only increases the preparation cost but also slows down the construction progress. Summary of the Invention

[0004] In view of this, this application aims to at least solve one of the technical problems existing in the prior art. For this reason, this application provides a polyurethane sports ground material data processing system and method, which can improve the accuracy of the material composition ratio.

[0005] In a first aspect, an embodiment of this application provides a polyurethane sports ground material data processing method, which includes the following steps:

[0006] S1. Obtain the first environmental data and the first flow rate data of a plurality of material conveying mechanisms, wherein the first environmental data includes the first temperature data;

[0007] S2. Determine a first adjustment coefficient according to the first environmental data and the type of raw material to be conveyed;

[0008] S3. After adjusting the first flow rate data by using the first adjustment coefficient, obtain the second flow rate data;

[0009] S4. Determine a first material composition ratio according to the second flow rate data;

[0010] S5. Determine a first error value between the first material composition ratio and a preset material composition ratio;

[0011] S6. Adjust the working parameters of the material conveying mechanism or output a warning signal according to the first error value.

[0012] In some embodiments, step S6 specifically includes the following steps:

[0013] Determine whether several sequentially obtained first error values all fall outside the allowable error range. If so, output a warning signal; otherwise, adjust the working parameters of the material conveying mechanism according to the first error value.

[0014] In some embodiments, step S6 specifically further includes the following steps:

[0015] In the case of obtaining a first error value that falls outside the allowable error range for the first time, make the current data sampling time interval smaller.

[0016] In some embodiments, step S6 specifically further includes the following steps:

[0017] In the case where several sequentially obtained first error values all fall within the allowable error range, determine whether the current data sampling time interval is a preset value. If so, keep the current data sampling time interval unchanged; otherwise, set the current data sampling time interval to the preset value.

[0018] In some embodiments, the first temperature data is determined based on the first temperature sub - data and / or the second temperature sub - data, where the first temperature sub - data is the temperature data detected by the first temperature sensor provided on the material conveying mechanism, and the second temperature sub - data is the temperature data obtained by detecting the conveyed raw materials using the second temperature sensor.

[0019] In some embodiments, the first environmental data further includes first pressure data, which is the pressure data obtained by detecting the discharge port of the material conveying mechanism using the first pressure sensor.

[0020] In some embodiments, the method further includes the following steps: S0. Obtain the preset material composition ratio; step S0 specifically includes the following steps:

[0021] S001. Obtain the first influencing factor parameters, where the first influencing factor parameters include the first environmental factor parameters and the first performance factor parameters. The first environmental factor parameters are the parameters obtained by detecting the environment of the area where the site to be prepared is located, and the first performance factor parameters are determined according to the type of the site to be prepared.

[0022] After processing the first influencing factor parameters using the component ratio evaluation model, the second material component ratio corresponding to the site to be prepared is obtained.

[0023] In some embodiments, the first environmental factor parameters include precipitation, temperature, ultraviolet intensity, wind speed, and / or humidity, and the first performance factor parameters include elastic modulus, friction coefficient, impact absorption rate, and / or hardness.

[0024] In a second aspect, an embodiment of the present application provides a polyurethane sports field material data processing system, which includes:

[0025] A detection device for detecting the environment and flow rate of the material conveying mechanism;

[0026] A processing system including at least one processor for loading a program to execute the steps of implementing a polyurethane sports field material data processing method as described above.

[0027] In a third aspect, an embodiment of the present application provides a polyurethane sports field material data processing system, which includes:

[0028] A first acquisition unit for acquiring first environmental data and first flow rate data of a plurality of material conveying mechanisms, where the first environmental data includes first temperature data;

[0029] A first processing unit for determining a first adjustment coefficient according to the first environmental data and the type of raw material being conveyed;

[0030] A second processing unit for adjusting the first flow rate data using the first adjustment coefficient to obtain second flow rate data;

[0031] A third processing unit for determining a first material component ratio according to the second flow rate data;

[0032] A fourth processing unit for determining a first error value between the first material component ratio and a preset material component ratio;

[0033] A first adjustment unit for adjusting the working parameters of the material conveying mechanism or outputting a warning signal according to the first error value.

[0034] The present application can achieve the following technical effects: The solution of the present application can obtain the first temperature data by detecting the temperature of the material conveying mechanism. Among them, the temperature data is used to characterize the temperature of the raw material being conveyed. Then, according to the temperature data, the first adjustment coefficient is determined. After adjusting the first flow rate data with the first adjustment coefficient, the second flow rate data is obtained. Among them, the flow rate data is used to characterize the weight of the raw material being conveyed. Then, according to the second flow rate data, the first material composition ratio is determined. According to the first error value between the first material composition ratio and the preset material composition ratio, the working parameters of the material conveying mechanism are adjusted or a warning signal is output. It can be seen that the solution of the present application uses the adjustment coefficient determined based on the temperature data to correct the flow rate data detected in real time, which can avoid the detection error of the weight of the conveyed material caused by the change in material viscosity due to temperature. Thus, it is ensured that the flow rate data detected in real time can accurately represent the actual weight of the conveyed material, that is, the detection accuracy of the weight of the conveyed material is ensured. Furthermore, the calculation accuracy of the first error value is ensured. Then, according to the first error value, the working parameters of the material conveying mechanism are adjusted or a warning signal is output, which can improve the ratio accuracy between several component raw materials being conveyed, and avoid the short service life of the prepared site quality caused by inaccurate ratio, and even the need to shovel and re-lay due to non-compliance requirements. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments.

[0036] Figure 1 It is a schematic flow chart of the steps of a polyurethane sports field material data processing method provided by an embodiment of the present application;

[0037] Figure 2 It is the specific flow steps of step S0 in a polyurethane sports field material data processing method provided by an embodiment of the present application;

[0038] Figure 3 It is a block diagram of the first embodiment structure of a polyurethane sports field material data processing system provided by an embodiment of the present application;

[0039] Figure 4 It is a block diagram of the second embodiment structure of a polyurethane sports field material data processing system provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0040] To make the objectives, technical solutions, and advantages of this application clearer, the following will refer to the accompanying drawings in the embodiments of this application and clearly and completely describe the technical solutions of this application through implementation manners. Obviously, the described embodiments are part of the embodiments of this application, rather than all of them. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of this application.

[0041] During the preparation and construction process of a polyurethane sports ground, raw materials of several components need to be transported to a container according to a preset ratio for mixing, and then the mixed materials are used for site paving. During the material mixing process, the proportion of the raw materials to be input needs to be accurate. Otherwise, it will lead to a short service life of the subsequently prepared site / it is prone to problems during subsequent use (such as the release of harmful substances, embrittlement and cracking of the material, abnormal hardness, poor anti-slip performance, and decline in ultraviolet protection ability), and even quality problems occur during the paving process (such as the material not curing, the viscosity of the mixed material being too high to be paved, etc.), resulting in the need for manual repair and / or shoveling and re-paving, thus increasing the construction cost and delaying the construction progress. To avoid the occurrence of these problems, a research is conducted on the polyurethane sports ground material treatment solution. After the research, it is found that the main reason for the error in the proportion of the transported raw materials is the detection error of the weight of the transported materials. For example, the material proportion to be transported is 1:3, but due to the detection error of the weight of the transported materials, the actual transported material proportion is only 1:2. Therefore, the embodiments of this application provide a method for processing polyurethane sports ground material data, which can improve the detection accuracy of the weight of the transported materials, thereby ensuring the accuracy of the raw material proportion for mixing.

[0042] Referring to Figure 1 , the embodiments of this application provide a method for processing polyurethane sports ground material data, and this method includes the following steps.

[0043] S1. Obtain the first environmental data and the first flow rate data of several material conveying mechanisms, where the first environmental data includes the first temperature data.

[0044] Specifically, it is found during the research plan process that raw materials are generally transported by pumps (such as gear pumps and plunger pumps). Therefore, the rotational speed or stroke of the pump can be adjusted to control the volumetric flow rate of the material output by the pump per unit time. That is to say, by detecting and collecting the current rotational speed or stroke of the pump, the volumetric flow rate of the material output by the pump can be calculated. And based on the volumetric flow rate of the material, the weight of the material output by the pump can be calculated (this belongs to the detected value). However, during the transportation of raw materials, the raw materials will adhere to the transportation pipeline, and the viscosity will change due to temperature changes. If the temperature of the material and / or the pipeline is not within the appropriate temperature range, the viscosity will increase, resulting in more / easier adhesion of the raw materials in the pipeline. This causes an error between the weight of the transported material calculated using the rotational speed or stroke of the pump (i.e., the detected value) and the actual weight of the output material (i.e., the actual value). Therefore, in order to eliminate the influence of temperature factors on the weight of the transported material, the embodiments of the present application use the temperature characterizing the transported raw material to achieve compensation of the material weight data to ensure accurate ingredient ratio of the transported material. Therefore, for the above-mentioned first temperature data, it is used to characterize the temperature of the transported raw material, where the temperature data can be determined using the temperature data detected on the pipeline and / or the temperature data detected on the raw material. And for the first flow rate data, it refers to the weight of the transported raw material, which is mainly obtained by collecting the current working parameters of the material transportation mechanism, such as the rotational speed or stroke of the pump, and then calculating the first flow rate data based on the collected working parameters. That is to say, the first flow rate data refers to the detected data.

[0045] S2. Determine the first adjustment coefficient according to the first environmental data and the type of the transported raw material.

[0046] Specifically, this step can be implemented using the set first database or the trained deep learning training model. Method 1: Obtain the detected flow rate data W 检测 and the actual flow rate data W 实际 of raw materials with different compositions during transportation at different temperatures from the test experiment, and then calculate the ratio value P between the detected flow rate data and the actual flow rate data, such as P = W 检测 / W 实际, then establish the mapping relationship between the temperature and the proportion value and store it in the first database. In this way, during subsequent applications, based on the detected first temperature data and the composition type of the raw material being transported currently, the historical temperature data closest to it can be queried from the first database. Then, based on the queried historical temperature data and the established mapping relationship between the temperature and the proportion value, the corresponding historical proportion value can be obtained, and this obtained historical proportion value is the adjustment coefficient. Method 2: After inputting the first temperature data and the composition type of the raw material being transported currently into the trained deep learning training model for data processing, the corresponding first adjustment coefficient can be obtained. Among them, the deep learning training model is obtained through data training using historical temperature data, the composition type of the raw material, and historical proportion values.

[0047] S3. After adjusting the first flow rate data using the first adjustment coefficient, the second flow rate data is obtained.

[0048] Specifically, since the first flow rate data is the detected flow rate data W 检测 , then after adjusting the first flow rate data using the determined first adjustment coefficient, the actual flow rate data W 实际 is obtained, that is, this second flow rate data is the actual flow rate data W 实际 .

[0049] S4. Determine the first material composition ratio according to the second flow rate data.

[0050] Specifically, according to the second flow rate data of several raw materials being transported, the composition ratio of the materials being transported can be determined.

[0051] S5. Determine the first error value between the first material composition ratio and the preset material composition ratio.

[0052] S6. Adjust the working parameters of the material conveying mechanism or output a warning signal according to the first error value.

[0053] Specifically, according to the numerical range to which the first error value belongs, it can be determined whether it is necessary to adjust the working parameters of the material conveying mechanism or it is necessary to output a warning signal and stop the material conveying mechanism, so as to improve the quality of the prepared site while ensuring the working efficiency.

[0054] It can be seen that through the above data processing solution for site materials, the accuracy of the composition ratio of the transported raw materials can be improved, the quality of the prepared site can be guaranteed, and the secondary construction caused by large errors can be avoided, reducing the additional increase in construction costs, and also improving the construction work efficiency.

[0055] In some embodiments, step S6 specifically includes the following steps:

[0056] It is determined whether the first error values obtained in sequence are all outside the allowable error range. If so, a warning signal is output; otherwise, the working parameters of the material conveying mechanism are adjusted according to the first error values.

[0057] Specifically, the detected data is sampled according to the set sampling frequency, so that a first error value can be obtained each time the sampled data is processed, and then several first error values can be obtained according to the time sequence. In order to avoid the erroneous detection of the raw material weight, which leads to the erroneous adjustment of the working parameters or the stopping of the conveying mechanism, the several first error values obtained in sequence are numerically judged. If the N first error values (N can be 3 or other integers) obtained in sequence do not fall within the allowable error range, it means that the ratio error of the raw material currently being conveyed is large. At this time, an early warning signal should be output, and the conveying mechanism may even need to be stopped. On the contrary, if there is at least one first error value within the allowable error range among the N first error values obtained in succession, then the working parameters can be adjusted according to the first error value. It can be seen that this method can ensure processing accuracy while taking into account processing efficiency, avoiding the problem of reduced construction efficiency caused by the machine stopping due to erroneous detection.

[0058] In addition, it should be noted that when the first error value is 0, there is no need to adjust the working parameters; when the first error value is not 0 and is within the allowable error range, the working parameters are adjusted.

[0059] In some embodiments, step S6 further includes the following steps:

[0060] When the first error value is obtained for the first time and is not within the allowable error range, the current data sampling time interval is shortened.

[0061] Specifically, when it is first detected that the first error value is not within the allowable error range, the current data sampling time interval is shortened, that is, the sampling frequency is increased to improve the recognition efficiency of the first error value, thereby improving the detection and recognition efficiency of the component ratio error, and quickly identifying whether the conveying mechanism needs to be stopped and adjusted accordingly. This can reduce the working time of the conveying mechanism when the ratio error is large, so as to reduce or even avoid the additional cost increase and progress delay caused by secondary construction.

[0062] In some embodiments, step S6 further includes the following steps:

[0063] When several sequentially obtained first error values all fall within the allowable error range, determine whether the current data sampling time interval is a preset value. If so, keep the current data sampling time interval unchanged; otherwise, set the current data sampling time interval to the preset value.

[0064] Specifically, on the premise that the data sampling time interval is decreased, continuously obtain several first error values sequentially. When M consecutive first error values obtained sequentially all fall within the allowable error range, it means that the mixing accuracy is within the appropriate range at this time. Then, in order to improve the data processing efficiency and reduce the data processing workload of the control system, the current data sampling time interval can be adjusted to the original preset value of the data sampling time interval.

[0065] In some embodiments, the first temperature data is determined based on the first temperature sub-data and / or the second temperature sub-data. Among them, the first temperature sub-data is the temperature data detected by the first temperature sensor arranged on the material conveying mechanism, and the second temperature sub-data is the temperature data obtained by detecting the conveyed raw material using the second temperature sensor.

[0066] Specifically, the first temperature sensor is specifically arranged on the pipeline of the material conveying mechanism for conveying raw materials and detects its temperature. The second temperature sensor is specifically arranged inside the pipeline so that it can directly contact the raw material during material conveying to detect the temperature of the raw material. As for which temperature data is used to represent the temperature of the conveyed raw material, it can be selected and set according to actual needs. That is, for the first temperature data, it can be the first temperature sub-data and / or the second temperature sub-data. Further, since the sticking situation occurs at the direct contact surface between the pipeline wall and the material, the temperature data result obtained by comprehensively processing the first temperature sub-data and the second temperature sub-data can more accurately represent the sticking degree. Therefore, for the first temperature data, it can be the temperature data determined based on the first temperature sub-data and the second temperature sub-data. Among them, for the comprehensive processing of the first temperature sub-data and the second temperature sub-data, it can be to calculate their average value (using the obtained average value as the first temperature data), or it can be to perform temperature compensation processing using them to obtain the first temperature data, or other data processing methods can be used to achieve this, which is not specifically limited here.

[0067] In some embodiments, since the raw materials are particularly likely to stick to the outlet of the pipeline during transportation in the pipeline, it is easy to block the output of the raw materials. The greater the degree of blockage of the raw material output at the pipeline outlet, the smaller the actual output flow rate of the raw materials. That is to say, when the degree of blockage is greater, the difference between the flow rate data detected by the pump speed or stroke and the actual flow rate data will be greater. That is, the degree of blockage at the pipeline outlet will affect the accuracy of the first flow rate data. Through research, it is found that the higher the degree of blockage, the greater the pressure received at the outlet of the pipeline. That is to say, the degree of blockage at the pipeline outlet can be characterized by the pressure data at the pipeline outlet. Therefore, in the embodiments of the present application, the first environmental data further includes first pressure data, and the first pressure data is the pressure data obtained by detecting the outlet of the material conveying mechanism using a first pressure sensor.

[0068] Specifically, the first pressure sensor can be implemented using a piezoresistive pressure sensor and is installed at the pipeline outlet. On this basis, for step S2, it is specifically: determine the first adjustment coefficient according to the first temperature data, the first pressure data, and the type of raw material being transported. Then, through the detection flow rate data W 检测 and the actual flow rate data W 实际 obtained from the test experiment under different temperature and pressure conditions for different components of raw materials during transportation, then calculate the ratio value between the detection flow rate data and the actual flow rate data, and then use these data to construct the corresponding mapping relationship or train the deep learning training model for subsequent actual applications. The specific application methods are as shown in the above methods one and two, and will not be specifically elaborated here.

[0069] In some embodiments, the method of the embodiments of the present application further includes the following steps: S0. Obtain a preset material composition ratio; refer to Figure 2 , and the step S0 specifically includes the following steps.

[0070] S001. Obtain the first influencing factor parameters, where the first influencing factor parameters include the first environmental factor parameters and the first performance factor parameters. The first environmental factor parameters are the parameters obtained by detecting the environment of the area where the site to be prepared is located, and the first performance factor parameters are determined according to the type of the site to which the site to be prepared belongs.

[0071] Among them, the first environmental factor parameters include precipitation, temperature, ultraviolet intensity, wind speed, and / or humidity, and the first performance factor parameters include elastic modulus, friction coefficient, impact absorption rate, and / or hardness.

[0072] After processing the first influencing factor parameters using the component ratio evaluation model, the second material component ratio corresponding to the site to be prepared is obtained.

[0073] Specifically, for the preparation of a sports ground, the corresponding suitable material component ratio is generally determined according to the required performance. For example, the required material component ratio is determined according to performance requirements such as the elastic modulus (Mpa), friction coefficient (μ), shock absorption rate (%), etc. required by the site. And due to different user groups, usage requirements, usage frequencies, service life requirements, etc. of the site, it can be divided into various types of sites, and different types of sites correspond to different performance factor parameters. For example: 1. For a sports ground for children's activities, the performance factor parameters can be: the elastic modulus should be between 3 and 5, the friction coefficient is between 0.75 and 0.95, the shock absorption rate is between 50 and 65, and the hardness is between 40 and 50; 2. For a sports ground for elderly rehabilitation, the performance factor parameters can be: the elastic modulus should be between 2 and 4, the friction coefficient is between 0.8 and 1, the shock absorption rate is between 55 and 70, and the hardness is between 35 and 45; 3. For a basketball court, the performance factor parameters can be: the elastic modulus should be between 8 and 12, the friction coefficient is between 0.6 and 0.8, the shock absorption rate is between 25 and 35, and the hardness is between 55 and 65; 4. For a tennis court, the performance factor parameters can be: the elastic modulus should be between 10 and 15, the friction coefficient is between 0.5 and 0.7, the shock absorption rate is between 20 and 30, and the hardness is between 65 and 75, etc. And different performance requirements correspond to different material component ratios.

[0074] In addition to the above performance requirements, it is also found that the environmental conditions of the geographical area where the site to be prepared is located will affect the material component ratio. For example, the ultraviolet intensity will cause the change rate of the elastic modulus, the precipitation / humidity will affect the friction coefficient and the hydrolysis rate of the polyurethane ester bond, and the temperature will affect the hydrolysis aging rate, etc. Therefore, for sports grounds with the same usage purpose (i.e., the same type of sports ground), if their environmental conditions in the geographical area are different, such as one is in a high-temperature and rainy area and the other is in a low-temperature and arid area, then their material component ratios will be different. Therefore, in this embodiment, the first environmental factor parameters and the first performance factor parameters are used to determine the required second material component ratio, and the site prepared based on it is more suitable for the environment of this area, so that the quality of the finally prepared site and its subsequent service life can be further improved. Moreover, the accuracy of the second material component ratio determined in this way is relatively high, which can reduce the subsequent experimental verification work, thereby improving the determination processing efficiency of the preset material component ratio.

[0075] In addition, it should be noted that the determined second material component ratio can directly be the preset material component ratio, or alternatively, the ratio obtained after slightly adjusting the determined second material components can be used as the preset material component ratio, which mainly depends on the verification of the second material component ratio. For this slight adjustment process, it can be selected according to the actual situation and is not specifically limited here.

[0076] In some embodiments, a deep learning training model is used to implement the component ratio evaluation model. For the above step S002, it may specifically include the following steps.

[0077] S0021. After inputting the first influencing factor parameters into the component ratio evaluation model for data processing, obtain the second material component ratio corresponding to the site to be prepared.

[0078] Specifically, based on the above, the performance requirements of the site to be prepared are represented by a range of performance parameters. Therefore, after determining the required performance requirements according to the site type, multiple values can be taken from the value ranges corresponding to different types of first performance factor parameters according to a preset numerical value interval (this value interval is an empirical value), and then the taken values are assigned to the first performance factor parameter variables of the corresponding types. Then, the assigned first performance factor parameters and the first environmental factor parameters are input into the component ratio evaluation model for data processing, and the second sub-material component ratio corresponding to the site to be prepared is obtained. In this way, in each data processing process, since the assigned numerical combinations of the first performance factor parameters are different, several different second sub-material component ratios will be obtained; then, according to the raw material cost information, the costs of several different second sub-material component ratios are calculated, and finally, the second sub-material component ratio with the lowest cost is selected as the second material component ratio. It can be seen that by determining the second material component ratio in this way, the construction cost of the site to be prepared can be reduced.

[0079] Referring to Figure 3 , the embodiment of the present application also provides a polyurethane sports ground material data processing system, which includes:

[0080] A detection device for detecting the environment and flow rate of the material conveying mechanism; wherein, the detection device may include a first temperature sensor, a second temperature sensor, and / or a first pressure sensor.

[0081] A processing system including at least one processor for loading a program to execute the steps of the polyurethane sports ground material data processing method as described in the above method embodiment.

[0082] The processor included in the processing system in the above system embodiment is used to execute the steps in the above method embodiment. Therefore, the beneficial effects of this embodiment are the same as those of the above method, and will not be elaborated in detail here.

[0083] As Figure 4 shown, the embodiment of the present application also provides a polyurethane sports field material data processing system, which includes:

[0084] A first acquisition unit, configured to acquire first environmental data and first flow data of a plurality of material conveying mechanisms, wherein the first environmental data includes first temperature data;

[0085] A first processing unit, configured to determine a first adjustment coefficient according to the first environmental data and the type of raw material being conveyed;

[0086] A second processing unit, configured to adjust the first flow data by using the first adjustment coefficient to obtain second flow data;

[0087] A third processing unit, configured to determine a first material composition ratio according to the second flow data;

[0088] A fourth processing unit, configured to determine a first error value between the first material composition ratio and a preset material composition ratio;

[0089] A first adjustment unit, configured to adjust the working parameters of the material conveying mechanism or output a warning signal according to the first error value.

[0090] The units / modules in the above system embodiment correspond one by one to the steps in the method embodiment. Therefore, the beneficial effects of this embodiment are the same as those of the above method, and will not be elaborated in detail here.

[0091] In addition, the present application also provides a computer-readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the steps in the above method embodiment.

[0092] In view of the readable storage medium in the storage medium embodiment, which stores a computer program, and the computer program is executed by a processor to implement the steps in the above method embodiment, the beneficial effects of this embodiment are the same as those of the above method and system embodiments, and will not be elaborated in detail here.

[0093] Regarding the processor mentioned in the above storage medium embodiments and system embodiments, the number thereof can be at least 1, and it can execute at least any one step in the above method embodiments. When the number is at least two, communication connections can be established between at least two processors, which are not limited to wired or wireless communication connections, and the at least one processor can communicate with various intelligent terminal devices. Additionally, for this processor, it can be a Central Processing Unit (CPU), or it can also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or this processor can also be any conventional processor, etc.

[0094] Finally, it should be understood that the magnitudes of the sequence numbers of the steps in the above embodiments do not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0095] Note that the above is only the preferred embodiment of the present application and the technical principles applied. Those skilled in the art will understand that the present application is not limited to the specific embodiments described herein. Various obvious changes, re-adjustments, and substitutions can be made by those skilled in the art without departing from the protection scope of the present application. Therefore, although the present application has been described in detail through the above embodiments, the present application is not limited to the above embodiments. Without departing from the concept of the present application, it can also include more other equivalent embodiments, and the scope of the present application is determined by the scope of the appended claims.

Claims

1. A data processing method for polyurethane sports field materials, characterized in that, The method includes the following steps: S1. Obtain the first environmental data and the first flow rate data of a plurality of material conveying mechanisms, wherein the first environmental data includes first temperature data; S2. Determine a first adjustment coefficient according to the first environmental data and the type of raw material to be conveyed; S3. After adjusting the first flow rate data by using the first adjustment coefficient, obtain the second flow rate data; S4. Determine a first material composition ratio according to the second flow rate data; S5. Determine a first error value between the first material composition ratio and a preset material composition ratio; S6. Adjust the working parameters of the material conveying mechanism or output a warning signal according to the first error value.

2. The method according to claim 1, characterized in that, The step S6 specifically includes the following steps: Judge whether a plurality of sequentially obtained first error values all fall outside the allowable error range. If so, output a warning signal. Otherwise, adjust the working parameters of the material conveying mechanism according to the first error value.

3. The method according to claim 2, wherein The step S6 specifically further includes the following steps: In the case of obtaining a first error value that does not fall within the allowable error range for the first time, make the current data sampling time interval smaller.

4. The method according to claim 3, characterized in that, The step S6 specifically further includes the following steps: In the case where a plurality of sequentially obtained first error values all fall within the allowable error range, judge whether the current data sampling time interval is a preset value. If so, keep the current data sampling time interval unchanged. Otherwise, set the current data sampling time interval to the preset value.

5. The method according to claim 1, characterized in that, The first temperature data is determined according to first temperature sub-data and / or second temperature sub-data, wherein the first temperature sub-data is temperature data detected by a first temperature sensor arranged on the material conveying mechanism, and the second temperature sub-data is temperature data obtained by detecting the raw material to be conveyed by using a second temperature sensor.

6. The method according to any one of claims 1 to 5, characterized in that The first environmental data further includes first pressure data, and the first pressure data is pressure data obtained by detecting the discharge port of the material conveying mechanism by using a first pressure sensor.

7. The method according to any one of claims 1-5, characterized in that, The method further includes the following steps: S0. Obtain a preset material composition ratio; the step S0 specifically includes the following steps: S001. Obtain first influencing factor parameters, wherein the first influencing factor parameters include first environmental factor parameters and first performance factor parameters. The first environmental factor parameters are parameters obtained by performing environmental detection on the area where the site to be prepared is located, and the first performance factor parameters are determined according to the type of the site to which the site to be prepared belongs; S002. After processing the first influencing factor parameters by using a composition ratio evaluation model, obtain a second material composition ratio corresponding to the site to be prepared.

8. The method according to claim 7, wherein The first environmental factor parameters include precipitation, temperature, ultraviolet intensity, wind speed, and / or humidity, and the first performance factor parameters include elastic modulus, friction coefficient, impact absorption rate, and / or hardness.

9. A polyurethane sports ground material data processing system, characterized in that, The system includes: A detection device for detecting the environment and flow rate of the material conveying mechanism; A processing system, comprising at least one processor for loading a program to execute the method steps described in any one of claims 1-8.

10. A polyurethane sports ground material data processing system, characterized in that, The system includes: A first acquisition unit for acquiring first environmental data and first flow rate data of a plurality of material conveying mechanisms, wherein the first environmental data includes first temperature data; A first processing unit for determining a first adjustment coefficient according to the first environmental data and the type of raw material to be conveyed; A second processing unit for adjusting the first flow rate data by using the first adjustment coefficient to obtain second flow rate data; A third processing unit for determining a first material composition ratio according to the second flow rate data; A fourth processing unit for determining a first error value between the first material composition ratio and a preset material composition ratio; A first adjustment unit for adjusting the working parameters of the material conveying mechanism or outputting a warning signal according to the first error value.

Images