CN112184185A - ERP system of commercial concrete mixing plant - Google Patents
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Abstract
The invention relates to an ERP system of a commercial concrete mixing station, which comprises a raw material management module, a sales management module, a production management module, an experiment management module, a scheduling management module, a financial management module, an ERP management module and an ERP server. According to the multi-aspect work involved in the operation work of the concrete mixing plant, the corresponding management modules are arranged, the data information of the corresponding aspects is obtained according to the management modules, the multi-aspect reliable management of the commercial concrete mixing plant can be realized, the management reliability is improved, and the corresponding abnormal analysis process is adopted, so that the multi-aspect work involved in the operation work of the concrete mixing plant can be reliably and accurately analyzed; and finally, acquiring the corresponding storage area according to the abnormal analysis result corresponding to various data information, thereby not only ensuring the storage capacity required by data storage, but also saving unnecessary storage space and ensuring the reliable operation of the system.
Description
Technical Field
The invention relates to an ERP system of a commercial concrete mixing plant.
Background
The concrete mixing plant is a combined device for intensively mixing concrete, has high productivity due to high mechanization and automation degree, can ensure the quality of concrete and save cement, and is commonly used for large and medium-sized water conservancy projects, electric power projects, bridges and other projects with large concrete engineering quantity, long construction period and centralized construction sites. With the development of municipal construction, the mixing plant which adopts centralized mixing and provides commercial concrete has great superiority, thereby being developed rapidly and creating conditions for promoting concrete pumping construction and realizing combined operation of mixing, conveying and pouring machines.
In the operation work of the concrete mixing plant, the operation work in multiple aspects of sales, raw material purchasing, concrete processing, vehicle scheduling, material transportation and financial settlement can be related.
The ERP system is a short term for Enterprise Resource Planning (Enterprise Resource Planning), and is a management platform which is established on the basis of information technology, integrates the information technology and advanced management ideas, and provides decision means for Enterprise employees and decision layers by using a systematized management idea. The system is a new generation of integrated management information system developed from MRP (material demand planning), expands the functions of MRP and has the core idea of supply chain management. The method breaks out of the traditional enterprise boundary, optimizes the resources of the enterprise from the supply chain range, optimizes the operation mode of the modern enterprise, and reflects the requirement of the market on the reasonable allocation of the resources of the enterprise. The method has obvious effects on improving the business process of enterprises and improving the core competitiveness of the enterprises.
At present, when relevant data of a concrete mixing plant are processed, the processing mode is relatively extensive, and the reliability is poor.
Disclosure of Invention
In order to solve the technical problem, the invention provides an ERP system of a commercial concrete mixing plant.
The invention adopts the following technical scheme:
a commercial concrete mixing plant ERP system, comprising:
the raw material management module is used for acquiring raw material information uploaded by each raw material warehouse monitoring device;
the sales management module is used for registering customer information with ordering intention by sales staff and updating the registered information in real time according to the follow-up condition of the customer;
the production management module is used for sequencing the processing sequence of the order according to the time sequence signed by the contract and sequentially generating a processing order notice according to the order processing sequence;
the experiment management module is used for carrying out a concrete preprocessing experiment according to the processing order notification, obtaining the optimal raw material mixing ratio of the concrete of the processing order, and submitting the raw material mixing ratio and the processing order to a mixing plant for concrete production;
the dispatching management module is used for dispatching the freight mixer truck to go to a mixing plant for material beating and loading;
the financial management module is used for carrying out financial settlement on raw material purchase and concrete commodity sale and generating a statistical statement;
an ERP management module; and
an ERP server;
the ERP management module realizes the following processing procedures:
receiving raw material information sent by the raw material management module, receiving customer information with ordering intention sent by the sales management module, receiving processing order notification sent by the production management module, receiving the optimal raw material mix ratio of concrete of each processing order sent by the experiment management module, receiving freight mixer scheduling data sent by the scheduling management module, and receiving a statistical report sent by the financial management module;
inputting the received various data information into a preset abnormal analysis project database, and acquiring a target abnormal analysis project corresponding to the various data information; the abnormal analysis project database comprises abnormal analysis projects corresponding to a raw material management module, a sales management module, a production management module, an experiment management module, a scheduling management module and a financial management module respectively;
inputting each target anomaly analysis item into a preset anomaly analysis rule model database according to the target anomaly analysis item corresponding to each data information, and acquiring a target anomaly analysis rule model corresponding to each target anomaly analysis item; the abnormal analysis rule model database comprises abnormal analysis items corresponding to a raw material management module, a sales management module, a production management module, an experiment management module, a scheduling management module and a financial management module respectively, and abnormal analysis rule models corresponding to the abnormal analysis items;
according to each target anomaly analysis rule model, carrying out anomaly analysis on the received various data information correspondingly to obtain anomaly analysis results corresponding to the various data information;
obtaining an original storage capacity according to the abnormal analysis results corresponding to various data information, wherein the original storage capacity is the sum of the data sizes of the abnormal analysis results corresponding to the various data information;
the ERP management module generates a storage request instruction according to the original storage capacity and sends the storage request instruction to the ERP server; wherein the storage request instruction comprises the original storage capacity and an IP address of the ERP management module;
a storage address allocation database and a storage capacity allocation database are preset in the ERP server; the storage address allocation database comprises at least two IP addresses and storage addresses corresponding to the IP addresses; the storage capacity allocation database comprises at least two original storage capacity intervals and target storage capacity corresponding to each original storage capacity interval, and the target storage capacity corresponding to each original storage capacity interval is the upper limit value of the corresponding original storage capacity interval;
after receiving the storage request instruction, the ERP server acquires an IP address and the original storage capacity of the ERP management module, and acquires a target storage address allocated to the ERP management module according to the IP address of the ERP management module and the storage address allocation database; determining an original storage capacity interval corresponding to the original storage capacity according to the original storage capacity and the storage capacity distribution database, and obtaining a target storage capacity of the ERP management module according to the corresponding original storage capacity interval;
the ERP server acquires a storage area corresponding to the target storage capacity according to the target storage address;
the ERP server sends feedback information to the ERP management module according to the storage area;
the ERP management module sends abnormal analysis results corresponding to the various data information to the ERP server according to the feedback information;
and the ERP server stores the abnormal analysis results corresponding to the various data information in the storage area.
As a specific implementation manner, the ERP server includes at least two memories, and each memory corresponds to each storage address in the storage address allocation database one to one;
correspondingly, each storage address in the storage address allocation database is the number of each corresponding storage.
According to the multi-aspect work related to the operation work of the concrete mixing station, the corresponding management modules are arranged, and the data information of the corresponding aspects is obtained according to the management modules, so that the multi-aspect reliable management of the commercial concrete mixing station can be realized, the management reliability is improved, and the refinement degree of data processing is improved; the data of each aspect correspond to different abnormal analysis items, and the different abnormal analysis items have different abnormal analysis rules, so that target abnormal analysis items corresponding to the data information are obtained according to different aspects of the data, then target abnormal analysis rule models corresponding to the target abnormal analysis items are obtained according to an abnormal analysis rule model database, corresponding abnormal analysis is carried out on the data information according to the obtained target abnormal analysis rule models, and abnormal analysis results corresponding to the data information are obtained, therefore, the abnormal analysis process provided by the invention can reliably and accurately analyze various aspects of work related to the operation work of the concrete mixing plant; after the abnormal analysis results corresponding to various data information are obtained, the original storage capacity is determined according to the abnormal analysis results corresponding to the various data information, the ERP server determines the corresponding storage address according to the IP address of the ERP management module, different IP addresses correspond to different storage addresses, the disordered storage of the data information among different ERP management modules can be avoided, the data storage reliability is improved, and the risk of data loss is reduced; obtaining a target storage capacity according to the original storage capacity and the storage capacity allocation database, wherein the relation between the original storage capacity and the target storage capacity is as follows: the target storage capacity is the upper limit value of the interval where the target storage capacity is located, the storage capacity required by data storage can be guaranteed by the mode, the problem that enough storage capacity cannot be provided is avoided, data storage failure is further avoided, in addition, the target storage capacity is not too much more than the original storage capacity, unnecessary storage space can be saved, and the reliable operation of the system is guaranteed.
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FIG. 1 is a schematic structural diagram of an ERP system of a commercial concrete mixing plant provided by the invention.
Detailed Description
The embodiment provides an ERP system of a commercial concrete mixing plant, which comprises a raw material management module, a sales management module, a production management module, an experiment management module, a scheduling management module, a financial management module, an ERP management module and an ERP server, as shown in FIG. 1. It should be understood that each management module may be a software module, and then the raw material management module, the sales management module, the production management module, the experiment management module, the scheduling management module, the financial management module, and the ERP management module are management modules in a hardware device, which may be a computer device, and the ERP server may be a conventional server device, and then the hardware device is in communication with the server device. Or, each management module is a hardware module, and then, the connection relationship between the management modules and the connection relationship with the ERP server are as shown in fig. 1.
The raw material management module, the sales management module, the production management module, the experiment management module, the scheduling management module, the financial management module and the ERP management module form a subsystem, and the subsystem is defined as a management subsystem. It should be understood that if the commercial concrete mixing plant is relatively large in scale, the ERP system of the commercial concrete mixing plant may include at least two management subsystems, and the ERP management modules in the management subsystems are in communication interaction with the ERP server.
The raw material management module is used for acquiring raw material information uploaded by each raw material warehouse monitoring device. The raw material information is information on relevant raw materials for producing concrete.
The sales management module is used for the salesperson to register the customer information with ordering intention and update the registered information in real time according to the customer follow-up condition. The customer information of the hierarchy may include a customer name and customer phone information.
The production management module is used for sequencing the processing sequence of the order according to the time sequence signed by the contract and sequentially generating a processing order notice according to the order processing sequence.
The experiment management module is used for carrying out a concrete preprocessing experiment according to the processing order notification, obtaining the optimal raw material mixing ratio of the concrete of the processing order, and submitting the raw material mixing ratio and the processing order to a mixing plant for concrete production.
The dispatching management module is used for dispatching the freight mixer truck to go to a mixing plant for material beating and loading.
And the financial management module is used for carrying out financial settlement on raw material purchase and concrete commodity sale and generating a statistical statement.
The ERP management module receives raw material information sent by the raw material management module, receives customer information with ordering intention sent by the sales management module, receives processing order notification sent by the production management module, receives the optimal concrete raw material mixing ratio of each processing order sent by the experiment management module, receives freight mixer scheduling data sent by the scheduling management module, and receives a statistical report sent by the financial management module.
Then, an abnormal analysis project database is arranged in the ERP management module, and comprises abnormal analysis projects corresponding to the raw material management module, the sales management module, the production management module, the experiment management module, the scheduling management module and the financial management module respectively.
It should be understood that the abnormal analysis items corresponding to different kinds of data information are different, and for any kind of data information, the corresponding abnormal analysis item refers to some kind of data analysis performed on the data information. Such as: for the raw material information, the abnormal analysis item can be used for judging whether the raw material information is complete or not; for the processing order notification, the abnormal analysis item can be used for judging whether the number of the received processing order notifications meets the requirement or not; for the customer information with ordering intention, the abnormal analysis item can be used for judging whether repeated customer information exists in the customer information; for the raw material mixing ratio of the optimal concrete, the abnormal analysis item can be used for judging whether the mixing ratio is in a normal range; for the dispatching data of the freight mixer truck, the abnormal analysis item can be used for judging whether the freight mixer truck is dispatched in a set time period; for the statistical form, the abnormal analysis item may be to determine whether each item of data in the statistical form has an abnormal value.
And the ERP management module inputs the received various data information into a preset abnormal analysis project database to obtain a target abnormal analysis project corresponding to the various data information.
An abnormal analysis rule model database is preset in the ERP management module and comprises abnormal analysis items corresponding to the raw material management module, the sales management module, the production management module, the experiment management module, the scheduling management module and the financial management module respectively and abnormal analysis rule models corresponding to the abnormal analysis items. For any one of the anomaly analysis rule models, an anomaly analysis rule is included, and the anomaly analysis rule is an anomaly analysis strategy, namely a judgment process for judging whether data information is abnormal or not. The anomaly analysis rule models corresponding to different anomaly analysis items are different, that is, different anomaly analysis items correspond to different anomaly analysis strategies, for example: for the abnormal analysis items corresponding to the raw material information, the abnormal analysis strategy of the corresponding abnormal analysis rule model is that a raw material information base is preset, the received raw material information is compared with the raw material information base, and whether the received raw material information is complete or not is judged; for the abnormal analysis items corresponding to the processing order notification, the abnormal analysis strategy of the corresponding abnormal analysis rule model is to count the number of the received processing order notifications, compare the number with the preset number, judge whether the number of the received processing order notifications meets the requirements, if the actual number is larger than or equal to the preset number, the requirements are met, otherwise, the requirements are not met; for the abnormal analysis items corresponding to the customer information with the ordering intention, the abnormal analysis strategy of the corresponding abnormal analysis rule model is to compare any two customer information and judge whether the repeated customer information exists; for the abnormal analysis items of the optimal raw material mixing ratio of the concrete, the abnormal analysis strategy of the corresponding abnormal analysis rule model is as follows: setting a normal mixing ratio interval, comparing the actual raw material mixing ratio of the optimal concrete with the normal mixing ratio interval, if the actual raw material mixing ratio is within the normal mixing ratio interval, judging that the raw material mixing ratio of the optimal concrete is normal, and if the actual raw material mixing ratio is not within the normal mixing ratio interval, judging that the raw material mixing ratio of the optimal concrete is abnormal; for the abnormal analysis items of the dispatching data of the freight mixer truck, the abnormal analysis strategy of the corresponding abnormal analysis rule model is as follows: presetting a time period, and judging whether a freight mixer truck is scheduled in the time period; for the abnormal analysis items of the statistical report, the abnormal analysis strategy of the corresponding abnormal analysis rule model is as follows: and (3) setting a normal value range for each item of data in the statistical report, judging whether each item of data in the statistical report is in the normal value range according to the normal value range of each item of data, judging whether any item of data is normal if the data is in the corresponding normal value range, and otherwise, judging that the data is abnormal.
And the ERP management module inputs each target abnormity analysis item into a preset abnormity analysis rule model database according to the target abnormity analysis item corresponding to each data information, and acquires a target abnormity analysis rule model corresponding to each target abnormity analysis item. And then, correspondingly analyzing the received various data information according to the abnormal analysis rule corresponding to each target abnormal analysis rule model to obtain abnormal analysis results corresponding to the various data information.
And the ERP management module obtains an original storage capacity according to the abnormal analysis results corresponding to the various data information, wherein the original storage capacity is the sum of the data sizes of the abnormal analysis results corresponding to the various data information.
And the ERP management module generates a storage request instruction according to the obtained original storage capacity, wherein the storage request instruction comprises the original storage capacity and the IP address of the ERP management module. Then, the ERP management module sends the storage request instruction to the ERP server.
The ERP server is preset with a storage address allocation database and a storage capacity allocation database. The storage address allocation database comprises at least two IP addresses and storage addresses corresponding to the IP addresses, and then according to one IP address, the storage address allocation database can be used for obtaining the storage address corresponding to the IP address according to the storage address. In this embodiment, the ERP server includes at least two memories, and each memory corresponds to each storage address in the storage address allocation database one to one, so each storage address in the storage address allocation database is a number of each corresponding memory.
The storage capacity allocation database includes at least two original storage capacity intervals and a target storage capacity corresponding to each original storage capacity interval, and the target storage capacity corresponding to each original storage capacity interval is an upper limit value corresponding to the original storage capacity interval, it should be understood that each original storage capacity interval is not constrained by an open interval and a closed interval, and the target storage capacity corresponding to each original storage capacity interval is an upper limit value corresponding to the original storage capacity interval regardless of whether the interval is an open interval or a closed interval, for example: if the original storage capacity interval is [ T1, T2], (T1, T2], (T1, T2) or [ T1, T2), the target storage capacity corresponding to the original storage capacity interval is T2.
After receiving the storage request instruction, the ERP server acquires an IP address and original storage capacity of the ERP management module, and according to the IP address of the ERP management module and a storage address distribution database, acquires a target storage address distributed to the ERP management module, wherein the storage address is the target storage address distributed to the ERP management module, and when data storage is carried out, storage is carried out according to the target storage address. And because the storage address is the number of the corresponding storage, the number of the storage allocated to the ERP management module is obtained according to the IP address of the ERP management module and the storage address allocation database, and when data storage is carried out, the data is stored in the corresponding storage. Determining an original storage capacity interval corresponding to the original storage capacity according to the original storage capacity and a storage capacity allocation database, and obtaining a target storage capacity of the ERP management module according to the corresponding original storage capacity interval, such as: if the original storage capacity interval is (T1, T2], the target storage capacity of the ERP management module is T2.
And the ERP server acquires a storage area corresponding to the target storage capacity according to the target storage address. That is, the ERP server divides the storage area corresponding to the target storage capacity in the corresponding storage, that is, divides the storage area having the same size as the target storage capacity.
And after the ERP server obtains the storage area, the feedback information is sent to the ERP management module according to the storage area.
And the ERP management module sends the abnormal analysis results corresponding to various data information to the ERP server according to the feedback information.
After receiving the abnormal analysis results corresponding to the various data information, the ERP server stores the abnormal analysis results corresponding to the various data information in a storage area, that is, in an area divided in the corresponding memory.
Claims (2)
1. A commercial concrete mixing plant ERP system, comprising:
the raw material management module is used for acquiring raw material information uploaded by each raw material warehouse monitoring device;
the sales management module is used for registering customer information with ordering intention by sales staff and updating the registered information in real time according to the follow-up condition of the customer;
the production management module is used for sequencing the processing sequence of the order according to the time sequence signed by the contract and sequentially generating a processing order notice according to the order processing sequence;
the experiment management module is used for carrying out a concrete preprocessing experiment according to the processing order notification, obtaining the optimal raw material mixing ratio of the concrete of the processing order, and submitting the raw material mixing ratio and the processing order to a mixing plant for concrete production;
the dispatching management module is used for dispatching the freight mixer truck to go to a mixing plant for material beating and loading;
the financial management module is used for carrying out financial settlement on raw material purchase and concrete commodity sale and generating a statistical statement;
an ERP management module; and
an ERP server;
the ERP management module realizes the following processing procedures:
receiving raw material information sent by the raw material management module, receiving customer information with ordering intention sent by the sales management module, receiving processing order notification sent by the production management module, receiving the optimal raw material mix ratio of concrete of each processing order sent by the experiment management module, receiving freight mixer scheduling data sent by the scheduling management module, and receiving a statistical report sent by the financial management module;
inputting the received various data information into a preset abnormal analysis project database, and acquiring a target abnormal analysis project corresponding to the various data information; the abnormal analysis project database comprises abnormal analysis projects corresponding to a raw material management module, a sales management module, a production management module, an experiment management module, a scheduling management module and a financial management module respectively;
inputting each target anomaly analysis item into a preset anomaly analysis rule model database according to the target anomaly analysis item corresponding to each data information, and acquiring a target anomaly analysis rule model corresponding to each target anomaly analysis item; the abnormal analysis rule model database comprises abnormal analysis items corresponding to a raw material management module, a sales management module, a production management module, an experiment management module, a scheduling management module and a financial management module respectively, and abnormal analysis rule models corresponding to the abnormal analysis items;
according to each target anomaly analysis rule model, carrying out anomaly analysis on the received various data information correspondingly to obtain anomaly analysis results corresponding to the various data information;
obtaining an original storage capacity according to the abnormal analysis results corresponding to various data information, wherein the original storage capacity is the sum of the data sizes of the abnormal analysis results corresponding to the various data information;
the ERP management module generates a storage request instruction according to the original storage capacity and sends the storage request instruction to the ERP server; wherein the storage request instruction comprises the original storage capacity and an IP address of the ERP management module;
a storage address allocation database and a storage capacity allocation database are preset in the ERP server; the storage address allocation database comprises at least two IP addresses and storage addresses corresponding to the IP addresses; the storage capacity allocation database comprises at least two original storage capacity intervals and target storage capacity corresponding to each original storage capacity interval, and the target storage capacity corresponding to each original storage capacity interval is the upper limit value of the corresponding original storage capacity interval;
after receiving the storage request instruction, the ERP server acquires an IP address and the original storage capacity of the ERP management module, and acquires a target storage address allocated to the ERP management module according to the IP address of the ERP management module and the storage address allocation database; determining an original storage capacity interval corresponding to the original storage capacity according to the original storage capacity and the storage capacity distribution database, and obtaining a target storage capacity of the ERP management module according to the corresponding original storage capacity interval;
the ERP server acquires a storage area corresponding to the target storage capacity according to the target storage address;
the ERP server sends feedback information to the ERP management module according to the storage area;
the ERP management module sends abnormal analysis results corresponding to the various data information to the ERP server according to the feedback information;
and the ERP server stores the abnormal analysis results corresponding to the various data information in the storage area.
2. The ERP system for commercial concrete mixing plant according to claim 1, wherein the ERP server includes at least two memories, and each memory is in one-to-one correspondence with each storage address in the storage address allocation database;
correspondingly, each storage address in the storage address allocation database is the number of each corresponding storage.
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| CN116485585A (en) * | 2023-04-23 | 2023-07-25 | 宁波中海建材有限公司 | Digital concrete management system |
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