CN117371907A - Precast beam field material supervision method and system based on Internet of things - Google Patents
Precast beam field material supervision method and system based on Internet of things Download PDFInfo
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Abstract
The invention discloses a material supervision method and system for a precast beam field based on the Internet of things, which are used for acquiring material data in the precast beam field through the Internet of things, wherein the method comprises the following steps: acquiring the quantity of materials, the quality of the materials, the price of the materials and the loss quantity of the materials in a certain time period, setting a material utilization rate function, and calculating the material utilization rate; acquiring consumption of materials in a certain time period, setting a material consumption rate function by combining the number of beams in a beam field and the total material number in the beam field, and calculating the material consumption rate; acquiring the loss amount of materials in a certain time period, setting a material inventory rate function by combining the total material amount in a beam field, the beam amount in the beam field and the consumption amount of the materials, and calculating the material inventory rate; acquiring purchase cost, transportation cost and storage cost, setting a material cost function, and calculating material cost, wherein the total material quantity in a beam yard, the beam quantity in the beam yard, the material consumption, the material quality and the material price are obtained.
Description
Technical Field
The invention belongs to the technical field of material supervision of precast beam fields, and particularly relates to a precast beam field material supervision method and system based on the Internet of things.
Background
At present, although a management system and measures can be formulated in the material management process to prevent the personnel of individual departments from using the rights in hands to spoil and brin in the material management process, along with the expansion of the engineering construction scale, the management difficulty is also continuously increased, the conventional material management concept and management mode are inevitably loopholes, the phenomena of spoilage and brin gradually permeate into each link of material management along with the shadow, and the fact proves that the spoilage and business brin behaviors are likely to occur in places with benefits, so that the risk of low-cost administration exists. There is a need to innovate material management concepts and management approaches to accommodate new changes in engineering construction in material management.
Disclosure of Invention
In order to solve the technical characteristics, the invention provides a material supervision method for a precast beam field based on the Internet of things, which comprises the following steps of:
acquiring the quantity of materials, the quality of the materials, the price of the materials and the loss quantity of the materials in a certain time period, setting a material utilization rate function, and calculating the material utilization rate;
acquiring consumption of materials in a certain time period, setting a material consumption rate function by combining the number of beams in a beam field and the total material number in the beam field, and calculating the material consumption rate;
acquiring the loss amount of materials in a certain time period, setting a material inventory rate function by combining the total material amount in a beam field, the beam amount in the beam field and the consumption amount of the materials, and calculating the material inventory rate;
acquiring purchase cost, transportation cost and storage cost, setting a material cost function, and calculating material cost, wherein the total material quantity in a beam yard, the beam quantity in the beam yard, the material consumption, the material quality and the material price are obtained;
and according to the material utilization rate, the material consumption rate, the material inventory rate and the material cost, monitoring the material of the precast beam field is completed.
Further, the material utilization function includes:
wherein R (T) isThe material utilization rate in the time T, M is the total material quantity in the beam field, N is the beam quantity in the beam field, C i (T) is the amount of the ith material in the time T, Q i For the mass of the ith material, P i For the price of the ith material, L i And (T) is the loss amount of the ith material in the time T.
Further, the material consumption rate function includes:
wherein C' (T) is the material consumption rate in time T, N is the number of beams in the beam field, D i And (T) is the consumption of the ith material in the time T, and M is the total material quantity in the beam field.
Further, the stock rate function includes:
wherein I (T) is the stock rate of materials in time T, M is the total material quantity in the beam field, N is the quantity of beams in the beam field, D i (T) is the consumption of the ith material in the time T, L i And (T) is the loss amount of the ith material in the time T.
Further, the material cost function includes:
wherein Cost (T) is the material Cost in time T, M is the total material quantity in the beam field, N is the number of beams in the beam field, D i (T) is the consumption of the ith material in the time T, Q i For the mass of the ith material, P i For the price of the ith material, C procure For purchasing cost, C transport For transportation cost, C storage Is the storage cost.
The invention also proposes a precast beam yard material monitoring system using any one of claims 1-5, comprising:
the warehouse management module is used for monitoring the weighing process of the materials through the wagon balance through video snapshot, infrared positioning, electronic license plates, card swiping weighing and LED screen indication;
the warehouse-out management module is used for carrying out multi-point scanning on the material warehouse through three-dimensional laser scanning, reversely establishing a three-dimensional point cloud model of the material warehouse through point cloud registration and splicing, calculating the volume of the material warehouse, and calculating the material quality in the material warehouse by combining the density of the material;
the inventory management module is used for checking and recording the inventory materials and updating the inventory state of the materials in real time;
and the supervision and early warning module is used for carrying out discrete early warning on the weighing abnormality of the vehicle, carrying out inventory abnormality early warning and carrying out concrete consumption early warning.
Further, the warehouse management module further includes:
the method comprises the steps of carrying out reservation weighing before material entering, automatically identifying a vehicle license plate number through a video monitoring camera before a vehicle loaded with the material reaches the wagon balance, automatically lifting a lifting rod and weighing after matching with reservation information, carrying out secondary weighing after unloading the vehicle, collecting vehicle related information, and automatically generating a material entering record.
Further, the ex-warehouse management module further includes: initiating a concrete pouring plan approval process, and after approval, stirring concrete at corresponding positions according to the using amount of the concrete plan in the pouring plan; counting the actual using amount of each beam concrete in real time; and counting consumption and use conditions of concrete raw materials in a certain time period in real time.
Further, the abnormal vehicle weighing discrete early warning comprises: and setting a vehicle tare weight early warning value and a material net weight early warning value, judging the early warning level, informing a pound-house manager through a client, and checking abnormal weighing data of the weighing vehicle on site by the pound-house manager.
Further, the inventory anomaly early warning includes: setting an inventory abnormality early warning value, dividing early warning grades, judging the early warning grades and informing a material management responsible person through a client when the comparison difference value between the theoretical inventory of the material and the actual inventory data of the inventory exceeds the inventory abnormality early warning value, and checking the inventory abnormality materials on site by the material management responsible person to discover the cause of the inventory abnormality in time.
Compared with the prior art, the technical scheme of the invention has the following beneficial effects:
the invention can realize personnel and cost reduction and improve the working efficiency; the three-dimensional laser scanning material management technology greatly improves the accuracy of material inventory; the unattended weighing system forms a record through snapshot video, and the weighing record can be circulated, so that the weighing artificial series fraud is effectively prevented; the concrete material management system acquires the service condition of each beam material in real time, the material use record is clear at a glance, the occurrence of the condition of false report of concrete use amount is prevented, and meanwhile, data reference is provided for judging concrete mixing quality. The intelligent control system can effectively avoid the low administrative risk and the national funds loss caused by the traditional material management mode, eliminate the cost waste caused by mismatching among people, machines, materials, methods and rings in the traditional construction process, and realize the intelligent control of the whole process of the material with orderly production, high efficiency and low cost of the T beam.
Drawings
FIG. 1 is a flow chart of embodiment 1 of the present invention;
FIG. 2 is a block diagram of the system of embodiment 2 of the present invention;
FIG. 3 is a diagram of the inventory management of the present invention;
FIG. 4 is a flow chart of the material warehousing business of the invention;
FIG. 5 is a concrete material management diagram of the present invention;
FIG. 6 is a diagram of inventory management of materials in accordance with the present invention;
FIG. 7 is a diagram of the material monitoring and early warning of the present invention.
Detailed Description
In order to better understand the above technical solutions, the following detailed description will be given with reference to the accompanying drawings and specific embodiments.
The method provided by the invention can be implemented in a terminal environment, wherein the terminal can comprise one or more of the following components: processor, storage medium, and display screen. Wherein the storage medium has stored therein at least one instruction that is loaded and executed by the processor to implement the method described in the embodiments below.
The processor may include one or more processing cores. The processor connects various parts within the overall terminal using various interfaces and lines, performs various functions of the terminal and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the storage medium, and invoking data stored in the storage medium.
The storage medium may include a random access Memory (Random Access Memory, RAM) or a Read-Only Memory (ROM). The storage medium may be used to store instructions, programs, code sets, or instructions.
The display screen is used for displaying a user interface of each application program.
All subscripts in the formula of the invention are only used for distinguishing parameters and have no practical meaning.
In addition, it will be appreciated by those skilled in the art that the structure of the terminal described above is not limiting and that the terminal may include more or fewer components, or may combine certain components, or a different arrangement of components. For example, the terminal further includes components such as a radio frequency circuit, an input unit, a sensor, an audio circuit, a power supply, and the like, which are not described herein.
Example 1
As shown in fig. 1, an embodiment of the present invention provides a method for supervising materials in a precast beam field based on the internet of things, which includes:
step 101, acquiring the quantity of materials, the quality of the materials, the price of the materials and the loss quantity of the materials in a certain time period, setting a material utilization rate function, and calculating the material utilization rate;
specifically, the material utilization rate function includes:
wherein R (T) is the material utilization rate in the time T, M is the total material quantity in the beam field, N is the quantity of beams in the beam field, C i (T) is the amount of the ith material in the time T, Q i For the mass of the ith material, P i For the price of the ith material, L i And (T) is the loss amount of the ith material in the time T.
102, acquiring consumption of materials in a certain time period, setting a material consumption rate function by combining the number of beams in a beam field and the total number of materials in the beam field, and calculating the material consumption rate;
specifically, the material consumption rate function includes:
wherein C' (T) is the material consumption rate in time T, N is the number of beams in the beam field, D i And (T) is the consumption of the ith material in the time T, and M is the total material quantity in the beam field.
Step 103, acquiring the loss amount of materials in a certain time period, setting a material inventory rate function by combining the total material amount in the beam field, the beam amount in the beam field and the material consumption amount, and calculating the material inventory rate;
specifically, the stock rate function includes:
wherein I (T) is the stock rate of materials in time T, M is the total material quantity in the beam field, N is the quantity of beams in the beam field, D i (T) is the consumption of the ith material in the time T, L i And (T) is the loss amount of the ith material in the time T.
Step 104, acquiring purchase cost, transportation cost and storage cost, setting a material cost function, and calculating material cost, wherein the total material quantity in a beam yard, the beam quantity in the beam yard, the material consumption, the material quality and the material price are obtained;
specifically, the material cost function includes:
wherein Cost (T) is the material Cost in time T, M is the total material quantity in the beam field, N is the number of beams in the beam field, D i (T) is the consumption of the ith material in the time T, Q i For the mass of the ith material, P i For the price of the ith material, C procure For purchasing cost, C transport For transportation cost, C storage Is the storage cost.
And 105, completing supervision of the materials in the precast beam yard according to the material utilization rate, the material consumption rate, the material inventory rate and the material cost.
Example 2
As shown in fig. 2, an embodiment of the present invention further provides a precast beam farm material monitoring system using the method of any one of claims 1 to 5, including:
the warehouse management module is used for monitoring the weighing process of the materials through the wagon balance through video snapshot, infrared positioning, electronic license plates, card swiping weighing and LED screen indication;
specifically, the reservation weighing is carried out before the material enters the field, the number of the vehicle license plate is automatically identified through the video monitoring camera before the vehicle loaded with the material reaches the wagon balance, the lifting rod is automatically lifted and weighed after the vehicle is matched with reservation information, the second weighing is carried out after the vehicle is unloaded, the vehicle related information is collected, the material entering record is automatically generated, and the warehouse management module is shown as 3.
The method comprises the steps of reserving weighing by a WeChat applet before entering a material, maintaining information such as a material name, a license plate number and the like in advance, automatically identifying the license plate number of the vehicle by a video monitoring camera before the vehicle loaded with the material reaches the wagon balance, automatically lifting a lifting rod and weighing after matching with reservation information, carrying out secondary weighing after unloading the vehicle, collecting information such as gross weight, tare weight and net weight of the vehicle, and automatically forming a material entering record to realize intelligent weighing.
After the wagon balance is weighed, a weighing person can audit the weighing record, after the weighing person confirms that the weighing person passes the weighing record, the material inspector can supplement appearance inspection and water content detection results of materials on the basis of the weighing record, after the inspection by the inspector, the material manager calculates the warehousing record of each wagon of materials, and after the calculation, a material warehousing account is formed, and a material warehousing flow is shown in figure 4.
The warehouse-out management module is used for carrying out multi-point scanning on the material warehouse through three-dimensional laser scanning, reversely establishing a three-dimensional point cloud model of the material warehouse through point cloud registration and splicing, calculating the volume of the material warehouse, and calculating the material quality in the material warehouse by combining the density of the material;
specifically, as shown in fig. 5, a concrete pouring plan application, pouring position statistics and material consumption statistics module is provided. The concrete pouring plan module is used for initiating a concrete pouring plan approval process by a field technician, and after approval by an engineering department, a laboratory and a mixing station, the mixing station starts to mix concrete at the corresponding part according to the concrete plan usage amount in the pouring plan; the pouring part statistics module is used for counting the actual using amount of concrete of each beam in real time; the material consumption statistics module counts the consumption and use conditions of concrete raw materials in a certain time period in real time.
The three-dimensional laser scanning technology is adopted to carry out multipoint scanning on the storage bins such as natural sand and broken stone, a three-dimensional point cloud model of the storage bin material is reversely established through point cloud registration and splicing, the volume of the storage bin material is accurately calculated, the density of the material is combined, the weight of the material in the storage bin can be calculated accurately, and the control error is about 1 mm. The management and supervision modes of the traditional manual checking materials are changed through the three-dimensional laser scanning technology, the accuracy of material checking is improved, and the problems of the aspects of guarding and theft of management personnel or intervention of off-site personnel and the like can be completely eradicated by matching with video monitoring and scanning of original data records.
As shown in fig. 6, the inventory management module is configured to inventory and record the materials in inventory, and update the inventory status of the materials in real time;
as shown in fig. 7, the supervision and early-warning module is used for carrying out discrete early warning on the weighing abnormality, stock abnormality and concrete consumption early warning on the vehicle.
Specifically, the abnormal discrete warning indexes of the weighing of the vehicle are divided into the vehicle tare warning and the material net weight warning. The material manager can set a tare early warning value and a material net weight early warning value in the material management system, the system automatically judges the early warning level and informs the pound-house manager through the mobile phone end and the webpage end, and the pound-house manager checks abnormal weighing data of the weighing vehicle on site, so that the weighing cheating phenomenon is effectively avoided.
The stock abnormality early warning refers to abnormality of a difference value between a theoretical stock and an actual stock in stock inventory, the theoretical stock refers to a difference value between a material warehouse-in quantity and a use quantity, and a stock manager can set an stock abnormality early warning value in a stock management system and divide early warning grades. When the comparison difference value between the theoretical stock of the material and the actual stock of the stock is larger than the early warning value, the system automatically judges the early warning level and informs the material management responsible person through the mobile phone end and the webpage end, and the relevant responsible person checks the abnormal stock of the material on site, so that the abnormal stock reason is found in time, and the clean risk caused by stock checking is effectively avoided.
The early warning of the concrete dosage refers to early warning generated by the abnormality of the difference between the planned concrete pouring quantity and the actual pouring quantity of a certain T beam, and the actual concrete pouring quantity is obtained in real time by a mixing station monitoring system. The material manager can set a concrete dosage early warning value and divide early warning grades in the material management system, when the difference between the planned concrete pouring quantity and the counted actual concrete pouring quantity exceeds the early warning value, the system automatically early warning and informing a concrete material management responsible person through a mobile phone end and a webpage end, and the relevant responsible person timely checks the abnormal reason of the concrete dosage, ensures the concrete pouring quality and prevents illegal profit from being obtained by false report of the concrete dosage.
Example 3
The embodiment of the invention also provides a storage medium which stores a plurality of instructions for realizing the precast beam field material supervision method based on the Internet of things.
Alternatively, in this embodiment, the storage medium may be located in any one of the computer terminals in the computer terminal group in the computer network, or in any one of the mobile terminals in the mobile terminal group.
Alternatively, in the present embodiment, a storage medium is provided to store program codes for performing the steps of embodiment 1.
Example 4
The embodiment of the invention also provides electronic equipment, which comprises a processor and a storage medium connected with the processor, wherein the storage medium stores a plurality of instructions, and the instructions can be loaded and executed by the processor so that the processor can execute a precast beam field material supervision method based on the Internet of things.
Specifically, the electronic device of the present embodiment may be a computer terminal, and the computer terminal may include: one or more processors, and a storage medium.
The storage medium can be used for storing software programs and modules, such as a precast beam field material supervision method based on the internet of things in the embodiment of the invention, and the processor executes various functional applications and data processing by running the software programs and the modules stored in the storage medium, namely the precast beam field material supervision method based on the internet of things is realized. The storage medium may include a high-speed random access storage medium, and may also include a non-volatile storage medium, such as one or more magnetic storage systems, flash memory, or other non-volatile solid-state storage medium. In some examples, the storage medium may further include a storage medium remotely located with respect to the processor, and the remote storage medium may be connected to the terminal through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The processor may invoke the information stored in the storage medium and the application program through the transmission system to perform the steps of embodiment 1.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
In the foregoing embodiments of the present invention, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.
In the embodiments provided in the present invention, it should be understood that the disclosed technology may be implemented in other manners. The system embodiments described above are merely exemplary, and for example, the division of the units is merely a logic function division, and there may be another division manner in actual implementation, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied essentially or partly in the form of a software product or all or part of the technical solution, which is stored in a storage medium, and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a random-access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or the like, which can store program codes.
It is apparent that the above examples are given by way of illustration only and are not limiting of the embodiments. Other variations or modifications of the above teachings will be apparent to those of ordinary skill in the art. It is not necessary here nor is it exhaustive of all embodiments. While still being apparent from variations or modifications that may be made by those skilled in the art are within the scope of the invention.
Claims (10)
1. The utility model provides a precast beam field material supervision method based on thing networking, obtains precast beam field material data through thing networking, its characterized in that includes:
acquiring the quantity of materials, the quality of the materials, the price of the materials and the loss quantity of the materials in a certain time period, setting a material utilization rate function, and calculating the material utilization rate;
acquiring consumption of materials in a certain time period, setting a material consumption rate function by combining the number of beams in a beam field and the total material number in the beam field, and calculating the material consumption rate;
acquiring the loss amount of materials in a certain time period, setting a material inventory rate function by combining the total material amount in a beam field, the beam amount in the beam field and the consumption amount of the materials, and calculating the material inventory rate;
acquiring purchase cost, transportation cost and storage cost, setting a material cost function, and calculating material cost, wherein the total material quantity in a beam yard, the beam quantity in the beam yard, the material consumption, the material quality and the material price are obtained;
and according to the material utilization rate, the material consumption rate, the material inventory rate and the material cost, monitoring the material of the precast beam field is completed.
2. The method for supervising the materials in the precast beam yard based on the internet of things according to claim 1, wherein the material utilization function comprises:
wherein R (T) is the material utilization rate in the time T, M is the total material quantity in the beam field, N is the quantity of beams in the beam field, C i (T) is the amount of the ith material in the time T, Q i For the mass of the ith material, P i For the price of the ith material, L i And (T) is the loss amount of the ith material in the time T.
3. The internet of things-based precast beam yard material monitoring method of claim 1, wherein the material consumption rate function comprises:
wherein C' (T) is the material consumption rate in time T, N is the number of beams in the beam field, D i And (T) is the consumption of the ith material in the time T, and M is the total material quantity in the beam field.
4. The method for supervising materials in a precast beam yard based on the internet of things according to claim 1, wherein the material stock rate function comprises:
wherein I (T) is the stock rate of materials in the time T, M is the total material quantity in the beam field, and N is the beam fieldNumber of beams D i (T) is the consumption of the ith material in the time T, L i And (T) is the loss amount of the ith material in the time T.
5. The method for supervising the materials in the precast beam yard based on the internet of things according to claim 1, wherein the material cost function comprises:
wherein Cost (T) is the material Cost in time T, M is the total material quantity in the beam field, N is the number of beams in the beam field, D i (T) is the consumption of the ith material in the time T, Q i For the mass of the ith material, P i For the price of the ith material, C procure For purchasing cost, C transport For transportation cost, C storage Is the storage cost.
6. A precast beam yard material monitoring system using any one of claims 1-5, comprising:
the warehouse management module is used for monitoring the weighing process of the materials through the wagon balance through video snapshot, infrared positioning, electronic license plates, card swiping weighing and LED screen indication;
the warehouse-out management module is used for carrying out multi-point scanning on the material warehouse through three-dimensional laser scanning, reversely establishing a three-dimensional point cloud model of the material warehouse through point cloud registration and splicing, calculating the volume of the material warehouse, and calculating the material quality in the material warehouse by combining the density of the material;
the inventory management module is used for checking and recording the inventory materials and updating the inventory state of the materials in real time;
and the supervision and early warning module is used for carrying out discrete early warning on the weighing abnormality of the vehicle, carrying out inventory abnormality early warning and carrying out concrete consumption early warning.
7. The precast beam yard material monitoring system of claim 6, wherein said warehouse management module further comprises:
the method comprises the steps of carrying out reservation weighing before material entering, automatically identifying a vehicle license plate number through a video monitoring camera before a vehicle loaded with the material reaches the wagon balance, automatically lifting a lifting rod and weighing after matching with reservation information, carrying out secondary weighing after unloading the vehicle, collecting vehicle related information, and automatically generating a material entering record.
8. The precast beam farm material monitoring system of claim 6, wherein the ex-warehouse management module further comprises: initiating a concrete pouring plan approval process, and after approval, stirring concrete at corresponding positions according to the using amount of the concrete plan in the pouring plan; counting the actual using amount of each beam concrete in real time; and counting consumption and use conditions of concrete raw materials in a certain time period in real time.
9. The precast beam yard material monitoring system of claim 6, wherein the vehicle weighing anomaly discrete pre-warning comprises: and setting a vehicle tare weight early warning value and a material net weight early warning value, judging the early warning level, informing a pound-house manager through a client, and checking abnormal weighing data of the weighing vehicle on site by the pound-house manager.
10. The precast beam yard material monitoring system of claim 6, wherein the inventory anomaly pre-warning comprises: setting an inventory abnormality early warning value, dividing early warning grades, judging the early warning grades and informing a material management responsible person through a client when the comparison difference value between the theoretical inventory of the material and the actual inventory data of the inventory exceeds the inventory abnormality early warning value, and checking the inventory abnormality materials on site by the material management responsible person to discover the cause of the inventory abnormality in time.
Priority Applications (1)
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