Mobile intelligent production test central control system

Abstract

The invention discloses a mobile intelligent production test central control system, which comprises a quality data analysis platform, a construction site quality supervision data platform and a vehicle transportation scheduling platform, the quality data analysis platform comprises a raw material monitoring and tracing module and a concrete quality management and analysis module; the raw material monitoring and tracing module comprises a hardware module composed of a PLC, a raw material direct collection device and a workshop mobile terminal, and a software module composed of a raw material detection result database, a raw material analysis platform and a raw material manufacturer supervision platform. The raw material detection result database performs classified management and control on the raw materials according to the bill flow and the data flow of the raw materials; the raw material analysis platform compares and analyzes the raw material quality of each raw material manufacturer according to the data flow; and the raw material manufacturer supervision platform marks raw material manufacturers according to fluctuation conditions of various data of the raw materials in the raw material detection result database.

Description

Technical Field

[0001] The present invention relates to the field of digitalization and information technology, and in particular to a mobile intelligent production test central control system. Background Art

[0002] In the project market services of concrete companies, due to market demand, it is necessary to supervise the quality of raw materials and concrete, and to be able to provide customers / project parties with timely recording and tracing of relevant data such as raw materials (raw material traceability, raw material entry inspection, raw material silo), concrete (production plan, production process, mix ratio, factory inspection, logistics transportation, delivery acceptance, physical rebound), and sharing of real-time online scenarios, which are indispensable methods of current new management.

[0003] Currently, the records and tests of raw materials and concrete are stored in paper files, while the latter requires samples to be taken to the laboratory for testing and data upload. In actual services, due to the limited service radius of concrete (within 35 kilometers, the conventional method requires renting a mixing station), data storage and analysis cannot be synchronized with the construction process, and the traceability of raw materials through reviewing paper materials or looking up tables is time-consuming and prone to omissions; and there is a lack of visual evaluation methods for manufacturers or batches with problems with raw materials.

[0004] To this end, it is necessary to use digitalization and informatization to establish a new system and create a new management method, which can not only expand the scope of services, but also accurately and timely supervise and trace various data. Summary of the invention

[0005] The present invention aims to solve at least one of the technical problems existing in the prior art; to this end, the present invention proposes a mobile intelligent production test central control system to solve the technical problem that the prior art cannot effectively evaluate the traceability of raw materials.

[0006] To achieve the above-mentioned purpose, the present invention provides a mobile intelligent production test central control system, including: a quality data analysis platform, a construction site quality supervision data platform, and a vehicle transportation scheduling platform;

[0007] The quality data analysis platform includes: raw material monitoring and traceability module, concrete quality management and analysis module;

[0008] The raw material monitoring and tracing module includes: a hardware module consisting of a PLC, raw material direct procurement equipment and a workshop mobile terminal, and a software module consisting of a raw material test result database, a raw material analysis platform and a raw material manufacturer supervision platform;

[0009] The raw material test result database classifies and controls the raw materials according to the bill flow and data flow of the raw materials;

[0010] The raw material analysis platform compares and analyzes the raw material quality of each raw material manufacturer based on the data stream;

[0011] The raw material manufacturer supervision platform marks the raw material manufacturer according to the fluctuation of various raw material data in the raw material test result database.

[0012] Further: The specific method of marking the raw material manufacturer is:

[0013] S2-1: Obtain all data of raw materials from the same manufacturer for each batch, including cement fineness, fly ash fineness, stone moisture content, methylene blue value of sand, admixture solid content and net slurry fluidity; calculate the error between the raw material data and the quality technical standards of the raw material data in batch order, recorded as D i (Cf i ,Ff i ,Sp i ,Sg i ,Sa i ,Sf i ), where i∈n, n is the total batch of raw materials provided by the same manufacturer; Cf i Ff represents the error value of cement fineness in the i-th batch of raw materials provided by the manufacturer; i Sp represents the error value of fly ash fineness in the i-th batch of raw materials provided by the manufacturer; i Sg represents the error value of the moisture content of the i-th batch of raw materials provided by the manufacturer; i Sa represents the error value of the methylene blue value of the sand in the i-th batch of raw materials provided by the manufacturer; i Sf represents the error value of the solid content of the admixture in the i-th batch of raw materials provided by the manufacturer; i Indicates the error value of the pure pulp fluidity in the i-th batch of raw materials provided by the manufacturer; when any error value is greater than the set threshold, the batch of raw materials is considered unqualified, and the data category of the unqualified raw materials is marked;

[0014] S2-2: Count the percentage of unqualified batches of raw materials and the fluctuation of various data of raw materials in qualified batches of raw materials;

[0015] Fluctuation of various data of raw materials in qualified batches of raw materials: determined by the error values ​​corresponding to various data of qualified batches of raw materials, and the standard deviation of the errors of various data in qualified batches of raw materials is calculated respectively, as shown in the formula As shown, σ S It represents the standard deviation of a certain data of raw materials, specifically: cement fineness, fly ash fineness, stone moisture content, methylene blue value of sand, solid content of admixture and fluidity of net slurry, so σS There are six terms in total, denoted by σ S1 , σ S2 , σ S3 , σ S4 , σ S5 , σ S6 One-to-one correspondence with the above raw material data; x i is any parameter selected from Di(Cfi,Ffi,Spi,Sgi,Sai,Sfi);

[0016] S2-3: Comprehensively consider the manufacturer's σ S The qualification of the manufacturer is evaluated by the value and the proportion of unqualified batches of raw materials, specifically: ρ = N / 6×50+μ×50; where N is σ S is the total number of data greater than 0.3; μ is the proportion of unqualified batches of raw materials; when ρ is not less than 22, the raw material manufacturer is marked.

[0017] Further: the concrete quality management and analysis module includes: a hardware module consisting of a concrete test block production and rapid curing equipment, a concrete test block detection equipment, a pressure detection chip placed in the concrete test block, a CC1100 / CC1101 wireless communication module for wireless communication with the pressure detection chip, and a workshop mobile terminal, and a software module consisting of a concrete test result database and a concrete analysis platform;

[0018] The concrete analysis platform is equipped with a concrete test block strength test storage module, an air content test storage module, and a chloride ion penetration analysis test storage module.

[0019] Further: the concrete test block strength test storage module classifies and stores the strength test results and test batches according to whether the strength reaches a preset strength standard, wherein the test batches that reach the preset strength standard are divided into a strength reaching standard group, and the test batches that do not reach the preset strength standard are divided into a strength not reaching standard group;

[0020] The gas content test storage module classifies and stores the gas content test results and test batches according to whether the gas content reaches a preset gas content standard, wherein the test batches that reach the preset gas content standard are classified into a gas content standard-reaching group, and the test batches that do not reach the preset gas content standard are classified into a gas content non-reaching group;

[0021] The chloride ion penetration analysis test storage module classifies and stores the results of the chloride ion concentration test and the tested batches according to whether the chloride ion concentration reaches a preset chloride ion concentration standard, wherein the test batches that reach the preset chloride ion concentration standard are classified into a chloride ion penetration standard-reaching group, and the test batches that do not reach the preset chloride ion concentration standard are classified into a chloride ion penetration non-reaching group;

[0022] Count and mark the batches of concrete specimens that appear in the strength failure group, air content failure group and chloride ion penetration failure group at least twice in the same batch.

[0023] Further: the vehicle transportation dispatching platform includes: a vehicle classification management module, a vehicle route monitoring and dispatching module, and a vehicle working time control module;

[0024] The vehicle classification management module classifies vehicles according to their types, specifically including: mixer trucks, dump trucks and earthmoving trucks;

[0025] The vehicle route monitoring and dispatching module is implemented by the UWB tags installed on each vehicle and the vehicle data fed back by the UWB base station;

[0026] The vehicle working time control module limits the working time of various types of vehicles respectively, records the entry time of various types of vehicles, and warns vehicles that exceed the maximum working time based on the preset maximum working time of the type of vehicle.

[0027] Furthermore: the construction site quality supervision data platform includes: a concrete test block production and maintenance process supervision module, which is used to record the concrete test block production and maintenance process in the form of video; a concrete test block testing process supervision module, which is used to record the concrete test block testing process in the form of video; a quality inspection department acceptance record module, which is used to provide technical support for the quality inspection department's acceptance.

[0028] Further: the workshop mobile terminal includes: a PCI industrial control computer, an Intel GM45 chipset, a CC1100 / CC1101 wireless communication module, and an asynchronous RS485 interface having the same number as the raw material direct procurement equipment;

[0029] The CAN protocol is used for communication between the workshop mobile terminal and the raw material direct procurement equipment.

[0030] The beneficial effect of the present invention is to establish a digital and information management platform to timely supervise and trace various data of raw materials. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the embodiments of the present invention and the technical solutions in the prior art, the drawings required for use in the embodiments and the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some implementation methods recorded in the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0032] Figure 1It is a schematic diagram of the system structure of the present invention. DETAILED DESCRIPTION

[0033] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is described and illustrated below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. Based on the embodiments provided by the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work belong to the scope of protection of the present invention.

[0034] Obviously, the drawings described below are only some examples or embodiments of the present invention. For ordinary technicians in this field, the present invention can be applied to other similar scenarios based on these drawings without any creative work.

[0035] In addition, it can be understood that although the efforts made in this development process may be complex and lengthy, for ordinary technicians in the field related to the contents disclosed in the present invention, some design, manufacturing or production changes based on the technical contents disclosed in the present invention are just conventional technical means and should not be understood as the contents disclosed in the present invention are insufficient.

[0036] If not otherwise specified, all embodiments and optional embodiments of the present invention can be combined with each other to form a new technical solution.

[0037] See also Figure 1 ,The schematic diagram of the system structure of the present invention includes: a quality data analysis platform, a construction site quality supervision data platform, and a vehicle transportation scheduling platform;

[0038] The quality data analysis platform includes: raw material monitoring and traceability module, concrete quality management and analysis module;

[0039] The raw material monitoring and traceability module includes: a hardware module consisting of PLC, raw material direct procurement equipment and workshop mobile terminals, and a software module consisting of a raw material test result database, a raw material analysis platform and a raw material manufacturer supervision platform;

[0040] The raw material test result database classifies and controls raw materials according to their bill flow and data flow;

[0041] The raw material analysis platform compares and analyzes the raw material quality of each raw material manufacturer based on data flow;

[0042] The raw material manufacturer supervision platform marks the raw material manufacturers according to the fluctuations of various raw material data in the raw material test result database.

[0043] Specifically:

[0044] In order to trace the source of the manufacturers with a large proportion of unqualified raw materials, the present invention mainly conducts rapid detection of the six main raw materials (cement fineness, fly ash fineness, stone moisture content, methylene blue value of sand, admixture solid content and net slurry fluidity) to ensure that the quality of the raw materials entering the site is controllable. The specific method of marking the raw material manufacturers is the following three steps:

[0045] Step 1: Obtain all the data of raw materials from the same manufacturer for each batch, including cement fineness, fly ash fineness, stone moisture content, methylene blue value of sand, admixture solid content and net slurry fluidity; calculate the error between the raw material data and the quality technical standards of the raw material data in batch order, recorded as D i (Cf i ,Ff i ,Sp i ,Sg i ,Sa i ,Sf i ), where i∈n, n is the total batch of raw materials provided by the same manufacturer; Cf i Ff represents the error value of cement fineness in the i-th batch of raw materials provided by the manufacturer; i Sp represents the error value of fly ash fineness in the i-th batch of raw materials provided by the manufacturer; i Sg represents the error value of the moisture content of the i-th batch of raw materials provided by the manufacturer; i Sa represents the error value of the methylene blue value of the sand in the i-th batch of raw materials provided by the manufacturer; i Sf represents the error value of the solid content of the admixture in the i-th batch of raw materials provided by the manufacturer; i Indicates the error value of the pure pulp fluidity in the i-th batch of raw materials provided by the manufacturer; when any error value is greater than the set threshold, the raw materials in this batch are considered unqualified, and the data category of the unqualified raw materials is marked for direct viewing of unqualified raw materials and unqualified batches;

[0046] Step 2: Count the proportion of unqualified batches of raw materials μ and the fluctuation of various data of raw materials in qualified batches of raw materials respectively;

[0047] Fluctuation of various data of raw materials in qualified batches of raw materials: determined by the error values ​​corresponding to various data of qualified batches of raw materials, and the standard deviation of the errors of various data in qualified batches of raw materials is calculated respectively, as shown in the formula As shown, σ S It represents the standard deviation of a certain data of raw materials, specifically: cement fineness, fly ash fineness, stone moisture content, methylene blue value of sand, solid content of admixture and fluidity of net slurry, so σ SThere are six terms in total, denoted by σ S1 , σ S2 , σ S3 , σ S4 , σ S5 , σ S6 Corresponding to the above raw material data one by one, the fluctuation of various data of all raw materials that meet the quality standards provided by the same manufacturer is calculated respectively; x i is any parameter selected from Di(Cfi,Ffi,Spi,Sgi,Sai,Sfi);

[0048] Third: Comprehensively consider the manufacturer's σ S The qualification of the manufacturer is evaluated by the value and the proportion of unqualified batches of raw materials, specifically: ρ = N / 6×50+μ×50; where N is σ S The total number of data contained in is greater than 0.3 (a standard deviation greater than 0.3 means that the quality of one or more data of the raw materials provided by the manufacturer each time varies greatly in different batches of raw materials, which will seriously affect the construction ratio plan); μ is the proportion of unqualified batches of raw materials (a large proportion of unqualified batches means that the quality of the provided raw materials is questionable); when ρ is not less than 22 (the manufacturer is evaluated from two aspects respectively. If the sum of the scores of the two aspects is not less than 22, after the overall production efficiency is evaluated, when the proportion of unqualified raw materials exceeds 10%, and the comparison of all raw materials provided on the timeline shows that at least one data in all qualified batches of raw materials provided is highly fluctuating, the production process will increase the unqualified rate, which means that the quality risk of raw materials provided by this manufacturer is relatively high), the raw material manufacturer is marked as a key supervision target.

[0049] The concrete quality management and analysis module includes: a hardware module consisting of concrete test block production and rapid curing equipment, concrete test block testing equipment, a pressure detection chip placed in the concrete test block, a CC1100 / CC1101 wireless communication module for wireless communication with the pressure detection chip, and a workshop mobile terminal; and a software module consisting of a concrete test result database and a concrete analysis platform;

[0050] The concrete analysis platform is equipped with a concrete test block strength test storage module, an air content test storage module, and a chloride ion penetration analysis test storage module;

[0051] The concrete test block strength test storage module classifies and stores the strength test results and test batches according to whether the strength reaches the preset strength standard. The test batches that reach the preset strength standard are divided into a strength reaching group, and the test batches that do not reach the preset strength standard are divided into a strength not reaching group.

[0052] The gas content test storage module classifies and stores the gas content test results and test batches according to whether the gas content reaches the preset gas content standard, wherein the test batches that reach the preset gas content standard are classified into a gas content standard group, and the test batches that do not reach the preset gas content standard are classified into a gas content non-standard group;

[0053] The chloride ion penetration analysis test storage module classifies and stores the results of the chloride ion concentration test and the test batches according to whether the chloride ion concentration reaches the preset chloride ion concentration standard, wherein the test batches that reach the preset chloride ion concentration standard are classified as the chloride ion penetration standard-reaching group, and the test batches that do not reach the preset chloride ion concentration standard are classified as the chloride ion penetration non-reaching group;

[0054] Since a single factor that fails to meet the standard may be caused by a systematic error, the situation where multiple standards fail to meet the standards means that the entire production process of the batch needs to be traced back to check the factors that led to the failure to meet the standards, and the batches of concrete blocks from the same batch that appear in the strength failure group, air content failure group and chloride ion penetration failure group at least twice are counted and marked to facilitate subsequent review of the production, maintenance and inspection videos of the marked batches to analyze the factors that caused the failure to meet the standards.

[0055] The vehicle transportation dispatching platform includes: vehicle classification management module, vehicle route monitoring and dispatching module, and vehicle working time control module; the vehicle classification management module classifies vehicles according to their types, including: mixer trucks, dump trucks, and earthmoving trucks;

[0056] The vehicle management module records the signals fed back by the UWB tags installed on different vehicles in advance, and establishes the signal-vehicle management entry through the corresponding relationship recorded for the first time, which is used to check the vehicle corresponding to the address in the UWB tag feedback information later;

[0057] The vehicle route monitoring and dispatching module is implemented by the UWB tags installed on each vehicle and the vehicle data fed back by the UWB base station. By directly checking the address in the UWB tag feedback information and the vehicle corresponding to this UWB tag, the location of the vehicle can be directly determined and dispatched.

[0058] The vehicle working time control module limits the working time of various types of vehicles respectively, starting from the time when the UWB tag signal is received, and records the entry time of various types of vehicles. According to the pre-set maximum working time of this type of vehicle, if the UWB tag has not left the site after the maximum working time has passed (and is still in a state where it can receive signals), an early warning will be issued for the vehicle that has exceeded the maximum working time, that is, the vehicle corresponding to this UWB tag.

[0059] The construction site quality supervision data platform includes: a concrete test block production and maintenance process supervision module, which is used to record the concrete test block production and maintenance process in the form of video for subsequent viewing; a concrete test block testing process supervision module, which is used to record the concrete test block testing process in the form of video; a quality inspection department acceptance record module, which is used to provide technical support for the acceptance of the quality inspection department, and realize the whole process quality inspection of raw materials and concrete, production control, delivery acceptance, on-site pouring, and digitalization of engineering entities. Full process supervision.

[0060] The workshop mobile terminal includes: PCI industrial control computer, Intel GM45 chipset, CC1100 / CC1101 wireless communication module, and the same number of asynchronous RS485 interfaces as the raw material direct procurement equipment;

[0061] The CAN protocol is used for communication between the workshop mobile terminal and the raw material direct procurement equipment.

[0062] The above is a very detailed description of one or more embodiments of the present invention, but the content is only a specific example of the present invention and cannot be considered to limit the scope of application of the present invention. Any other methods and changes proposed based on the content of the present invention should fall within the scope of patent protection of the present invention.

Claims

1. Mobile intelligent production test central control system, characterized by: include: Quality data analysis platform, construction site quality supervision data platform, vehicle transportation dispatching platform; The quality data analysis platform includes: raw material monitoring and traceability module, concrete quality management and analysis module; The raw material monitoring and tracing module includes: a hardware module consisting of a PLC, raw material direct procurement equipment and a workshop mobile terminal, and a software module consisting of a raw material test result database, a raw material analysis platform and a raw material manufacturer supervision platform; The raw material test result database classifies and controls the raw materials according to the bill flow and data flow of the raw materials; The raw material analysis platform compares and analyzes the raw material quality of each raw material manufacturer based on the data stream; The raw material manufacturer supervision platform marks the raw material manufacturer according to the fluctuation of various raw material data in the raw material test result database.

2. The mobile intelligent production test central control system according to claim 1 is characterized in that: The specific method of marking the raw material manufacturer is: S2-1: Obtain all data of raw materials from the same manufacturer for each batch, including cement fineness, fly ash fineness, stone moisture content, methylene blue value of sand, admixture solid content and net slurry fluidity; calculate the error between the raw material data and the quality technical standards of the raw material data in batch order, recorded as D i (Cf i ,Ff i ,Sp i ,Sg i ,Sa i ,Sf i ), where i∈n, n is the total batch of raw materials provided by the same manufacturer; Cf i Ff represents the error value of cement fineness in the i-th batch of raw materials provided by the manufacturer; i Sp represents the error value of fly ash fineness in the i-th batch of raw materials provided by the manufacturer; i Sg represents the error value of the moisture content of the i-th batch of raw materials provided by the manufacturer; i Sa represents the error value of the methylene blue value of the sand in the i-th batch of raw materials provided by the manufacturer; i Sf represents the error value of the solid content of the admixture in the i-th batch of raw materials provided by the manufacturer; i Indicates the error value of the pure pulp fluidity in the i-th batch of raw materials provided by the manufacturer; when any error value is greater than the set threshold, the batch of raw materials is considered unqualified, and the data category of the unqualified raw materials is marked; S2-2: Count the percentage of unqualified batches of raw materials and the fluctuation of various data of raw materials in qualified batches of raw materials; Fluctuation of various data of raw materials in qualified batches of raw materials: determined by the error values ​​corresponding to various data of qualified batches of raw materials, and the standard deviation of the errors of various data in qualified batches of raw materials is calculated respectively, as shown in the formula As shown, σ S It represents the standard deviation of a certain data of raw materials, specifically: cement fineness, fly ash fineness, stone moisture content, methylene blue value of sand, solid content of admixture and fluidity of net slurry, so σ S There are six terms in total, denoted by σ S1 , σ S2 , σ S3 , σ S4 , σ S5 , σ S6 One-to-one correspondence with the above raw material data; x i is any parameter selected from Di(Cfi,Ffi,Spi,Sgi,Sai,Sfi); S2-3: Comprehensively consider the manufacturer's σ S The qualification of the manufacturer is evaluated by the value and the proportion of unqualified batches of raw materials, specifically: ρ = N / 6×50+μ×50; where N is σ S is the total number of data greater than 0.3; μ is the proportion of unqualified batches of raw materials; when ρ is not less than 22, the raw material manufacturer is marked.

3. The mobile intelligent production test central control system according to claim 1 is characterized in that: The concrete quality management and analysis module includes: a hardware module consisting of a concrete test block production and rapid curing equipment, a concrete test block detection equipment, a pressure detection chip placed in the concrete test block, a CC1100 / CC1101 wireless communication module for wireless communication with the pressure detection chip, and a workshop mobile terminal, and a software module consisting of a concrete test result database and a concrete analysis platform; The concrete analysis platform is equipped with a concrete test block strength test storage module, an air content test storage module, and a chloride ion penetration analysis test storage module.

4. The mobile intelligent production test central control system according to claim 3 is characterized in that: The concrete test block strength test storage module classifies and stores the strength test results and test batches according to whether the strength reaches a preset strength standard, wherein the test batches that reach the preset strength standard are divided into a strength reaching standard group, and the test batches that do not reach the preset strength standard are divided into a strength not reaching standard group; The gas content test storage module classifies and stores the gas content test results and test batches according to whether the gas content reaches a preset gas content standard, wherein the test batches that reach the preset gas content standard are classified into a gas content standard-reaching group, and the test batches that do not reach the preset gas content standard are classified into a gas content non-reaching group; The chloride ion penetration analysis test storage module classifies and stores the results of the chloride ion concentration test and the tested batches according to whether the chloride ion concentration reaches a preset chloride ion concentration standard, wherein the test batches that reach the preset chloride ion concentration standard are classified into a chloride ion penetration standard-reaching group, and the test batches that do not reach the preset chloride ion concentration standard are classified into a chloride ion penetration non-reaching group; Count and mark the batches of concrete specimens that appear in the strength failure group, air content failure group and chloride ion penetration failure group at least twice in the same batch.

5. The mobile intelligent production test central control system according to claim 1 is characterized in that: The vehicle transportation dispatching platform includes: a vehicle classification management module, a vehicle route monitoring and dispatching module, and a vehicle working time control module; The vehicle classification management module classifies vehicles according to their types, specifically including: mixer trucks, dump trucks and earthmoving trucks; The vehicle route monitoring and dispatching module is implemented by the UWB tags installed on each vehicle and the vehicle data fed back by the UWB base station; The vehicle working time control module limits the working time of various types of vehicles respectively, records the entry time of various types of vehicles, and warns vehicles that exceed the maximum working time based on the preset maximum working time of the type of vehicle.

6. The mobile intelligent production test central control system according to claim 1 is characterized in that: The construction site quality supervision data platform includes: a concrete test block production and maintenance process supervision module, which is used to record the concrete test block production and maintenance process in the form of video; a concrete test block testing process supervision module, which is used to record the concrete test block testing process in the form of video; and a quality inspection department acceptance record module, which is used to provide technical support for the quality inspection department's acceptance.

7. The mobile intelligent production test central control system according to claim 1 is characterized in that: The workshop mobile terminal includes: a PCI industrial control computer, an Intel GM45 chipset, a CC1100 / CC1101 wireless communication module, and the same number of asynchronous RS485 interfaces as the raw material direct procurement equipment; The CAN protocol is used for communication between the workshop mobile terminal and the raw material direct procurement equipment.

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