CN114897450B - Cloud digital supply chain service management platform - Google Patents
Cloud digital supply chain service management platform Download PDFInfo
- Publication number
- CN114897450B CN114897450B CN202210821571.6A CN202210821571A CN114897450B CN 114897450 B CN114897450 B CN 114897450B CN 202210821571 A CN202210821571 A CN 202210821571A CN 114897450 B CN114897450 B CN 114897450B
- Authority
- CN
- China
- Prior art keywords
- demand
- concrete
- terminal
- cloud server
- supply
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 230000002452 interceptive effect Effects 0.000 claims abstract description 21
- 238000012545 processing Methods 0.000 claims abstract description 4
- 238000000034 method Methods 0.000 claims description 10
- 230000015572 biosynthetic process Effects 0.000 claims description 6
- 238000005266 casting Methods 0.000 claims description 6
- 239000011159 matrix material Substances 0.000 claims description 6
- 230000008569 process Effects 0.000 claims description 6
- 230000008859 change Effects 0.000 claims description 4
- 238000012546 transfer Methods 0.000 claims description 3
- 230000032258 transport Effects 0.000 claims description 3
- 239000000203 mixture Substances 0.000 claims description 2
- 230000009467 reduction Effects 0.000 abstract description 2
- 230000003993 interaction Effects 0.000 abstract 1
- 238000010586 diagram Methods 0.000 description 4
- 238000011156 evaluation Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 239000002699 waste material Substances 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06395—Quality analysis or management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0633—Lists, e.g. purchase orders, compilation or processing
- G06Q30/0635—Processing of requisition or of purchase orders
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/08—Construction
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- Development Economics (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Tourism & Hospitality (AREA)
- Educational Administration (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to the technical field of supply chain service platforms, in particular to a cloud digital supply chain service management platform, which comprises: the interactive terminal based on the intelligent equipment application software is divided into a demand terminal and a supply terminal; the cloud server based on the Internet server comprises a terminal identification module and a database server, and is used for identifying users of all interactive terminals and collecting and processing data sent by the users; the interaction terminals can inquire and receive issued concrete demand tasks from the corresponding supply pools. Through the mutual cooperation of the parts, the quality reduction of the concrete and the discontinuity of the destination concrete pouring can be avoided on the premise that the output total amount of each concrete mixing plant and the demand total amount of each concrete consumption unit are kept unchanged, so that the pouring quality of the concrete is effectively improved.
Description
Technical Field
The invention relates to the technical field of supply chain service platforms, in particular to a cloud digital supply chain service management platform.
Background
With the development of the internet, the cloud digital technology is rapidly improved, however, as products on the internet are refuted and the technology is changed day by day, the possibility that information is tampered and lost is higher and higher; aiming at the supply chain of commercial concrete, the product quality of the commercial concrete has great change in a period of time and certain particularity, so that the commercial concrete has higher requirements on a supply chain service platform. Publication No. CN112529332A discloses a "concrete transportation vehicle supply chain service method, device, terminal device and readable storage medium", which sorts concrete transportation vehicles and delivers goods at intervals in sequence after transaction between a concrete mixing plant and a destination is started, so as to achieve automatic supply chain service of the concrete transportation vehicles; the publication number CN113011682A discloses a supply chain service management platform based on a block chain, which collects financial information of both transaction parties and carries out transaction early warning after integration; publication No. CN112541676A discloses a "driving supply chain service method in a mixing plant, system, computer apparatus and storage medium thereof", which comprehensively evaluates order information, concrete outbound information and driver status information so that concrete can arrive at a destination as soon as possible.
It can be seen that the above platform and method have the following problems: the quality of concrete is reduced and the pouring of the destination concrete is discontinuous due to different productivity and road conditions, so that the quality of the integral pouring of the concrete is reduced.
Disclosure of Invention
Therefore, the invention provides a cloud digital supply chain service management platform. The method is used for solving the problems that the quality of concrete is reduced and the pouring of the concrete at the destination is discontinuous due to different productivity and road conditions in the prior art, so that the integral pouring quality of the concrete is reduced.
To achieve the above object, the present invention provides a cloud digital supply chain service management platform, comprising:
the system comprises a plurality of interactive terminals, a plurality of service terminals and a plurality of service terminals, wherein the interactive terminals are application software based on intelligent equipment and comprise a demand terminal and a supply terminal, the demand terminal is used for collecting orders of concrete sent by concrete demand enterprises, and the supply terminal is used for inquiring and receiving issued concrete demand tasks;
the cloud server is an internet-based server and comprises a terminal identification module and a database server, wherein the terminal identification module and the database server are respectively connected with each interactive terminal and used for identifying users of each interactive terminal and collecting and processing data sent by the interactive terminals;
the cloud server classifies the orders in the demand pools on the basis of demand time, demand destinations and concrete composition requirements;
and the plurality of supply pools are demand orders which are screened from the demand pools by the cloud server and meet the requirements, and each interactive terminal can inquire and receive the issued concrete demand tasks from the corresponding supply pool and send the transportation tasks to the corresponding execution ends by taking the corresponding time as a period.
Further, the cloud server generates a demand order C and a concrete component D for the demand order according to the demand information in the terminal, and setsWherein V is the demand of the remaining concrete in the demand order, and L is the demand in the demand orderA demand destination, T being a demand time point of the demand order; the cloud server controls each terminal to collect a demand destination Li, a demand time Ti and a residual demand Vi of the concrete demand order when acquiring the ith demand order Ci and the concrete component Di aiming at the demand order, quantizes the collected information and gathers the information to be used as the concrete demand order Ci, and transmits the concrete demand order Ci to the demand pool, wherein Ci = [ Vi, li, ti, ci = [ Vi, li, ti ] is]Setting i =1,2,3, \ 8230;, n.
Further, the cloud server is provided with a first component adjustment value d1 and a second component adjustment value d2, wherein d1 is more than 0 and less than d2,
when the cloud server obtains the concrete demand order Ci sent by the ith demand terminal and the concrete component Dj sent by the jth supply terminal, j =1,2,3, \8230isset, n, the cloud server compares the concrete component demands Di and Dj of the Ci demand order in sequence and distributes the demand order Ci to a demand pool corresponding to the concrete component Dj according to a comparison result,
if the Dj + d1 is not less than or equal to the Di and not more than the Dj + d2, the cloud server judges that the concrete demand order Ci is added into a corresponding demand pool of the concrete component Dj, the cloud server controls the jth supply terminal to collect the states c of all execution ends belonging to the terminal, places the c into the corresponding supply pool, judges the transportation terminal point of the execution end according to the c, and sends the d + d1 to the corresponding supply poolComparing with the Di as a new Dj until j = n;
if Di is less than Dj + d1 or Dj + d2 is less than Di, the cloud server judges that the concrete demand order Ci cannot be added into the corresponding demand pool of the concrete component Dj, and the cloud server sends the concrete demand order Ci to the corresponding demand pool of the concrete component DjComparing with the Di as a new Dj until j = n;
further, the state c of the execution end comprises the current position Lc of the execution end, the theoretical pouring time delta t, the concrete volume v and the residual slump s;
setting m =1,2,3, \ 8230, n for the mth executive end, wherein the cloud server is used for setting the current position of the executive end according to the current position of the executive endEstablishing a state matrix cm aiming at each execution end of the mth unit by using the theoretical casting time delta tm and the amount vm of concrete carried by the theoretical casting time delta tm and setting cm =;
The supply terminal collects the state matrix cm of the mth execution terminal and allocates the execution terminal to the corresponding supply pool corresponding to the demand terminal, the cloud server compares vm with Vi to judge whether the execution terminal can go to the demand destination corresponding to the demand terminal,
if vm is less than or equal to Vi, the cloud server judges that concrete carried by the execution end does not exceed the concrete demand and according to the current position of the execution endDifference Δ from LiJudging whether the execution end is transferred to the demand destination of the demand terminal;
if vm is larger than Vi, the cloud server judges that the concrete carried by the execution end exceeds the concrete demand, and does not transfer the execution end to the demand destination of the demand terminal;
and if the concrete carrying amount of each execution end in the supply pool is larger than the concrete demand amount corresponding to the demand destination, the cloud server judges that the demand destination needs to be subjected to party cutting, and sends a party cutting prompt to the corresponding demand terminal.
Further, the position L is a coordinate value, L (x, y) is set, and when the execution end is in the process of transporting concrete, the cloud server uses the execution end cm as the position of the cloud serverFront position(xm, ym) as a starting point, with a demand destination of the concrete demand order Ci(xi, yi) is a vector of,In the supply pool formation set Qm and the demand pool formation set Qi, wherein=(xm-xi,ym-yi),Qm={,,…,},Qi={,,…,};
The cloud server is provided with an elastic distance DeltaL, when a single execution end exists and the execution end is positioned in a plurality of supply pools,
if min+△L<,The cloud server judges that the execution end is located in an infeasible interval from the demand destination and informs the corresponding supply terminal to adjust the execution end to minA demand destination of the corresponding demand terminal;
if min+△L≥,The cloud server judges that the execution end is located in a feasible region from the required destination, and determines a transportation terminal point according to the theoretical residual slump sm of concrete carried by the execution end;
when there are multiple such execution ends and each execution end is in multiple corresponding demand pools,
if min+△L<,The cloud server determines min,The corresponding execution end transports the concrete to the demand destination corresponding to the demand pool;
if min+△L≥,And the cloud server judges that the execution end is located in a feasible interval from the demand destination, and determines a transportation terminal point according to the theoretical residual slump sm of concrete carried by the execution end.
Furthermore, the concrete demand order issued by the demand terminal contains slump s0 and a slump adjustment value deltas 0, the demand terminal judges the difference between the theoretical residual slump sm of the execution end and the slump s0 contained in the order and compares the difference with the slump adjustment value deltas 0 to determine whether the arrival quality of the concrete transported by the execution end meets the order requirement,
if it isThe delta s0 is less than or equal to, the demand terminal judges that the theoretical residual slump of the concrete carried by the execution terminal meets the requirement, and numbers of the execution terminals meeting the requirement are uploaded to the cloud server;
if it isAnd >. DELTA.s 0, the demand terminal judges that the theoretical residual slump of the concrete carried by the execution terminal does not meet the requirement, and uploads the execution terminal number which is closest to the execution terminal and meets the requirement to the cloud server.
Further, when a single execution end reaches the corresponding demand destination, the cloudThe end server adjusts the parameters Ci corresponding to the demand order to Ci ' and issues Ci ' after the adjustment is completed, wherein Ci ' = Ci-cm + [0, lm,]。
further, the cloud server stores the demand pool to the corresponding demand terminal after the demand pool is constructed, and randomly selects one supply terminal from a plurality of corresponding supply terminals of the demand pool to backup data of the constructed demand pool; and the cloud server constructs the supply pool, stores the supply pool to the corresponding supply terminal, and randomly selects a backup data of the supply pool from a plurality of corresponding demand terminals of the supply pool.
Further, the terminal identification module only records the physical addresses of the demand terminal and the supply terminal, and matches the user with the corresponding physical address; and the cloud server issues and collects the data of the corresponding execution end through the corresponding supply terminal, and copies the corresponding judgment result to the supply terminal corresponding to the execution end.
Further, for a single supply terminal, the total amount of the received concrete quantity of the corresponding demand order is a fixed value, and the supply chain service behavior of the cloud server in the concrete transportation process does not change.
Compared with the prior art, the system has the advantages that the interactive terminal, the cloud server, the demand pool and the supply pool are arranged, and the conditions that the productivity of the concrete mixing stations is insufficient due to various reasons, the concrete conveying time is prolonged due to road condition congestion to cause concrete quality reduction and target concrete pouring discontinuity are avoided on the premise that the total output of each concrete mixing station and the total demand of each concrete consumption unit are unchanged, so that the concrete pouring quality is effectively improved.
Furthermore, the cloud server reasonably quantizes the demand amount, the demand destination, the demand time point and the concrete components of the residual concrete of the collected concrete order and preliminarily constructs a demand pool, so that the condition that information cannot be exchanged due to the fact that all indexes are not universal is avoided, the evaluation basis of the concrete is effectively unified, the accuracy of supply chain service is improved, and the pouring quality of the concrete is further improved.
Furthermore, the cloud server corresponds the concrete order to each demand pool and each supply pool by judging the components of the concrete, so that the accuracy of the supply chain service is effectively improved while the service range of the concrete supply chain is expanded, and the pouring quality of the concrete is further improved.
Furthermore, the cloud server collects information of the execution ends in real time, and determines the concrete pouring state by comparing the concrete amount carried by each execution end with the concrete demand corresponding to the destination, so that the accuracy of supply chain service is improved while concrete waste is effectively avoided, and the pouring quality of concrete is further improved.
Furthermore, the cloud server collects information of the execution ends in real time, and determines a supply chain service mode by comparing the positions carried by the execution ends with the positions corresponding to the destinations, so that the accuracy of the supply chain service is improved while concrete pouring operation discontinuity caused by various problems is effectively avoided, and the pouring quality of concrete is further improved.
Furthermore, the demand terminal corresponds the slump of concrete carried by the execution terminal through calculation and comparison to determine a supply chain service mode, so that the arrival quality of the concrete is effectively improved while the situation that the arrival concrete slump does not reach the standard due to too long time consumption is effectively avoided, and the pouring quality of the concrete is further improved.
Furthermore, the cloud server performs overall supply chain service control in a mode of calculating and adjusting parameters of the demand order, so that the accuracy of supply chain service is improved while supply chain service errors caused by inaccurate order adjustment are effectively avoided, and the pouring quality of concrete is further improved.
Furthermore, the cloud server ensures the reliability of data by dispersedly backing up each demand order, effectively avoids data loss caused by external environment, and improves the accuracy of supply chain service, thereby further improving the pouring quality of concrete.
Furthermore, the terminal identification module only records the physical addresses of the demand terminal and the supply terminal, matches the user with the corresponding physical address, and copies the judgment result to all the involved terminals in real time, so that the reliability of the system is ensured, the accuracy of the supply chain service is improved, and the concrete pouring quality is further improved.
Furthermore, the total quantity of the concrete of the corresponding demand orders received by the single supply terminal is a fixed value, so that the user income is ensured, and meanwhile, the accuracy of supply chain service is improved, and the pouring quality of the concrete is further improved.
Drawings
Fig. 1 is a schematic structural diagram of a cloud digital supply chain service management platform according to an embodiment of the present invention;
fig. 2 is a schematic diagram of association between a demand pool and a supply pool according to an embodiment of the present invention.
Detailed Description
In order that the objects and advantages of the invention will be more clearly understood, the invention is further described below with reference to examples; it should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only for explaining the technical principle of the present invention, and do not limit the scope of the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
Fig. 1 is a schematic structural diagram of a cloud digital supply chain service management platform according to the present invention, including:
the cloud server is an internet-based server and comprises a terminal identification module and a database server, wherein the terminal identification module and the database server are respectively connected with each interactive terminal and used for identifying users of each interactive terminal and collecting and processing data sent by the interactive terminals;
the system comprises a plurality of interactive terminals, a plurality of service terminals and a plurality of cloud servers, wherein the interactive terminals are respectively connected with the cloud servers, are divided into demand terminals and supply terminals and are application software based on intelligent equipment, the demand terminals are used for collecting orders of concrete sent by concrete demand enterprises, and the supply terminals are used for inquiring and receiving issued concrete demand tasks;
a destination that is a demand location for the concrete order;
through setting up interactive terminal, high in the clouds server, demand pond and supply pond, under the unchangeable prerequisite that keeps the output total amount of each concrete mixing plant and the demand total amount that each concrete need use the unit, avoid the concrete mixing plant productivity that leads to because of various reasons not enough and take place to block up because of the road conditions and lead to concrete transportation time increase and cause concrete quality decline and destination concrete placement discontinuous to the pouring quality of concrete has effectively been promoted.
The execution ends are respectively connected with the corresponding supply terminals and used for conveying concrete and feeding back information to the corresponding supply terminals in real time;
specifically, the terminal identification module only records the physical addresses of the demand terminal and the supply terminal, and matches the user with the corresponding physical address; and the cloud server issues and collects the data of the corresponding execution terminal through the corresponding supply terminal, and copies the corresponding judgment result to the supply terminal corresponding to the execution terminal. The reliability of the system is guaranteed, and meanwhile the accuracy of supply chain service is improved, so that the pouring quality of concrete is further improved.
Specifically, for a single supply terminal, the total quantity of the concrete of the received corresponding demand order is a fixed value, and the supply chain service behavior of the cloud server in the concrete transportation process does not change. The total quantity of the concrete of the corresponding demand orders received by the single supply terminal is a fixed value, so that the user income is ensured, and meanwhile, the accuracy of supply chain service is improved, and the pouring quality of the concrete is further improved.
Please refer to fig. 2, which is a schematic diagram illustrating the association between the demand pool and the supply pool according to the present invention, comprising:
the supply pools are formed by the corresponding supply terminals and the corresponding execution terminals and are used for receiving the concrete orders and dispatching the corresponding execution terminals;
and the plurality of demand pools correspond to the plurality of supply pools, consist of the corresponding demand terminals and the corresponding execution terminals and are used for sending concrete orders and assisting in carrying out corresponding scheduling work.
Specifically, the cloud server generates a demand order C and a concrete component D for the demand order according to the demand information in the terminal, and setsWherein, V is the demand of the residual concrete in the demand order, L is the demand destination in the demand order, and T is the demand time point of the demand order; the cloud server controls each terminal to collect a demand destination Li, a demand time Ti and a residual demand Vi of a concrete demand order when acquiring an ith demand order Ci and a concrete component Di for the demand order, quantizes the collected information and gathers the information as the concrete demand order Ci, and transmits the Ci to the demand pool, wherein Ci = [ Vi, li, ti ] is]Setting i =1,2,3, \ 8230;, n.
The demand, the demand destination, the demand time point and the concrete component of the residual concrete of the collected concrete order are reasonably quantized and the demand pool is preliminarily constructed, so that the condition that information cannot be exchanged due to the fact that various indexes are not universal is avoided, meanwhile, the evaluation basis of the concrete is effectively unified, the accuracy of supply chain service is improved, and the pouring quality of the concrete is further improved.
Specifically, the cloud server is provided with a first component adjustment value d1 and a second component adjustment value d2, wherein d1 is less than 0 and less than d2,
when the cloud server obtains the concrete demand order Ci sent by the ith demand terminal and the concrete component Dj sent by the jth supply terminal, setting j =1,2,3, \8230n, n, the cloud server compares the concrete component demands Di and Dj of the demand order Ci in sequence and distributes the demand order Ci to a demand pool corresponding to the concrete component Dj according to the comparison result,
if the Dj + d1 is not less than or equal to the Di and not more than the Dj + d2, the cloud server judges that the concrete demand order Ci is added into a corresponding demand pool of the concrete component Dj, the cloud server controls the jth supply terminal to collect the states c of all execution ends belonging to the terminal, places the c into the corresponding supply pool, judges the transportation terminal point of the execution end according to the c, and sends the d + d1 to the corresponding supply poolComparing with the Di as a new Dj until j = n;
if Di is less than Dj + d1 or Dj + d2 is less than Di, the cloud server judges that the concrete demand order Ci cannot be added into the corresponding demand pool of the concrete component Dj, and the cloud server sends the concrete demand order Ci to the corresponding demand pool of the concrete component DjComparing with the Di as a new Dj until j = n;
the concrete order is corresponding to each demand pool and each supply pool, so that the accuracy of the supply chain service is effectively improved while the service range of the concrete supply chain is expanded, and the pouring quality of concrete is further improved.
Specifically, the state c of the execution end comprises the current position Lc of the execution end, the theoretical pouring time delta t, the concrete amount v and the residual slump s;
setting m =1,2,3, \ 8230, n for the mth executive end, wherein the cloud server is used for setting the current position of the executive end according to the current position of the executive endEstablishing a state matrix cm aiming at each execution end of the mth unit by using the theoretical casting time delta tm and the amount vm of concrete carried by the theoretical casting time delta tm and setting cm =;
The supply terminal collects the state matrix cm of the mth execution terminal and allocates the execution terminal to the corresponding supply pool corresponding to the demand terminal, the cloud server compares vm with Vi to judge whether the execution terminal can go to the demand destination corresponding to the demand terminal,
if vm is less than or equal to Vi, the cloud server judges that concrete carried by the execution end does not exceed the concrete demand and according to the current position of the execution endDifference from Li ΔJudging whether the execution end is transferred to the demand destination of the demand terminal;
if vm is larger than Vi, the cloud server judges that the concrete carried by the execution end exceeds the concrete demand, and does not transfer the execution end to the demand destination of the demand terminal;
and if the concrete carrying amount of each execution end in the supply pool is larger than the concrete demand amount corresponding to the demand destination, the cloud server judges that the demand destination needs to be subjected to party cutting, and sends a party cutting prompt to the corresponding demand terminal.
The concrete pouring state is determined by comparing the concrete amount carried by each execution end with the concrete demand corresponding to the destination, so that the accuracy of supply chain service is improved while concrete waste is effectively avoided, and the pouring quality of concrete is further improved.
Specifically, the position L is a coordinate value, L (x, y) is set, and when the execution end is in the process of transporting concrete, the cloud server uses the current position of the execution end cm as the cloud server(xm, ym) as a starting point, with a demand destination of the concrete demand order Ci(xi, yi) is a vector of,In the supply pool formation set Qm and the demand pool formation set Qi, wherein=(xm-xi,ym-yi),Qm={,,…,},Qi={,,…,};
The cloud server is provided with an elastic distance DeltaL, when a single execution end exists and the execution end is positioned in a plurality of supply pools,
if min+△L<,The cloud server judges that the execution end is located in an infeasible interval from the demand destination and informs the corresponding supply terminal to adjust the execution end to minA demand destination of a corresponding demand terminal;
if min+△L≥,The cloud server judges that the execution end is located in a feasible interval from the demand destination, and determines a transportation terminal point according to the theoretical residual slump sm of concrete carried by the execution end;
when there are multiple such execution ports and each execution port is in multiple corresponding demand pools,
if min+△L<,The cloud server determines min,The corresponding execution end transports the concrete to the demand destination corresponding to the demand pool;
if min+△L≥,And the cloud server judges that the execution end is located in a feasible interval from the demand destination, and determines a transportation terminal point according to the theoretical residual slump sm of concrete carried by the execution end.
The supply chain service mode is determined by comparing the position carried by each execution end with the position corresponding to the destination, so that the accuracy of the supply chain service is improved while concrete pouring operation discontinuity caused by various problems is effectively avoided, and the pouring quality of concrete is further improved.
Specifically, the concrete demand order issued by the demand terminal includes slump s0 and a slump adjustment value Δ s0, the demand terminal judges the difference between the theoretical residual slump sm of the execution end and the slump s0 included in the order, and compares the difference with the slump adjustment value Δ s0 to determine whether the quality of the concrete transported by the execution end on the spot meets the requirement of the order,
if it isThe delta s is less than or equal to 0, the demand terminal judges that the theoretical residual slump of the concrete carried by the execution terminal meets the requirement, and numbers of the execution terminals meeting the requirement are uploaded to the cloud server;
if it isAnd >. DELTA.s 0, the demand terminal judges that the theoretical residual slump of the concrete carried by the execution terminal does not meet the requirement, and uploads the execution terminal number which is closest to the execution terminal and meets the requirement to the cloud server.
By calculating and comparing the slump corresponding to the concrete carried by the execution end, the supply chain service mode is determined, the on-site concrete slump caused by too long time consumption is effectively avoided not reaching the standard, the on-site quality of the concrete is effectively improved, and the pouring quality of the concrete is further improved.
Specifically, when a single execution end reaches the corresponding demand destination, the cloud server adjusts the parameters Ci corresponding to the demand order to Ci ', and issues Ci ' after the adjustment is completed, wherein Ci ' = Ci-cm + [0, lm,]。
the overall supply chain service control is carried out by calculating and adjusting the parameters of the demand order, so that the supply chain service error caused by inaccurate order adjustment is effectively avoided, and the accuracy of the supply chain service is improved, thereby further improving the concrete pouring quality.
Specifically, the cloud server stores the demand pool to the corresponding demand terminal after the demand pool is constructed, and randomly selects one supply terminal from a plurality of corresponding supply terminals in the demand pool to backup data of the constructed demand pool; and the cloud server builds the supply pool, stores the supply pool to the corresponding supply terminal, and randomly selects a backup supply pool data from a plurality of corresponding demand terminals in the supply pool.
The reliability of the data is ensured by dispersedly backing up each required order, the data loss caused by the external environment is effectively avoided, and meanwhile, the accuracy of the supply chain service is improved, so that the pouring quality of the concrete is further improved.
So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is apparent to those skilled in the art that the scope of the present invention is not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can be within the protection scope of the invention.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention; various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (6)
1. A cloud digital supply chain service management platform, comprising:
the system comprises a plurality of interactive terminals, a plurality of service terminals and a plurality of service terminals, wherein the interactive terminals are application software based on intelligent equipment and comprise demand terminals and supply terminals, the demand terminals are used for collecting orders of concrete sent by concrete demand enterprises, and the supply terminals are used for inquiring and receiving issued concrete demand tasks;
the cloud server is an internet-based server and comprises a terminal identification module and a database server, wherein the terminal identification module and the database server are respectively connected with each interactive terminal and used for identifying users of each interactive terminal and collecting and processing data sent by the interactive terminals;
the cloud server classifies the orders in the demand pools on the basis of demand time, demand destinations and concrete composition requirements;
the plurality of supply pools are demand orders which are screened from the demand pools by the cloud server and meet the requirements, and each interactive terminal can inquire and receive the issued concrete demand tasks from the corresponding supply pool and send the transportation tasks to the corresponding execution ends by taking the corresponding time as a period;
the cloud server generates a demand order C and a concrete component D aiming at the demand order according to the demand information in the terminal, and setsWherein V is the demand of the residual concrete in the demand order, L is the demand destination in the demand order, and T is the demand time point of the demand order; the cloud server controls each terminal to collect a demand destination Li, a demand time Ti and a residual demand Vi of the concrete demand order when acquiring the ith demand order Ci and the concrete component Di aiming at the demand order, quantizes the collected information and gathers the information to be used as the concrete demand order Ci, and transmits the concrete demand order Ci to the demand pool, wherein Ci = [ Vi, li, ti, ci = [ Vi, li, ti ] is]Setting i =1,2,3, \ 8230;, n;
the cloud server is provided with a first component adjustment value d1 and a second component adjustment value d2, wherein d1 is more than 0 and less than d2,
when the cloud server obtains the concrete demand order Ci sent by the ith demand terminal and the concrete component Dj sent by the jth supply terminal, j =1,2,3, \8230isset, n, the cloud server compares the concrete component demands Di and Dj of the Ci demand order in sequence and distributes the demand order Ci to a demand pool corresponding to the concrete component Dj according to a comparison result,
if the Dj + d1 is not less than or equal to Di is not less than or equal to Dj + d2, the cloud server judges that the concrete demand order Ci is added into a corresponding demand pool of the concrete component Dj, and the cloud server controls the j supply terminal to collect the states c, c and d of all execution ends belonging to the terminal,C is put into the corresponding supply pool, the transportation terminal of the execution end is judged according to c, andcomparing with the Di as a new Dj until j = n;
if Di is less than Dj + d1 or Dj + d2 is less than Di, the cloud server judges that the concrete demand order Ci cannot be added into the corresponding demand pool of the concrete component Dj, and the cloud server sends the concrete demand order Ci to the corresponding demand pool of the concrete component DjComparing with the Di as a new Dj until j = n;
the state c of the execution end comprises the current position Lc of the execution end, the theoretical pouring time delta t, the concrete volume v and the residual slump s;
setting m =1,2,3, \8230andn for the mth executive end, wherein the cloud server is used for setting the current position of the executive endEstablishing a state matrix cm aiming at each execution end of the mth unit by using the theoretical casting time delta tm and the amount vm of concrete carried by the theoretical casting time delta tm and setting cm =;
The supply terminal collects the state matrix cm of the mth execution terminal and allocates the execution terminal to the corresponding supply pool corresponding to the demand terminal, the cloud server compares vm with Vi to judge whether the execution terminal can go to the demand destination corresponding to the demand terminal,
if vm is less than or equal to Vi, the cloud server judges that concrete carried by the execution end does not exceed the concrete demand and according to the current position of the execution endDifference from Li ΔJudging whether the execution end is transferred to the demand destination of the demand terminal;
if vm is larger than Vi, the cloud server judges that the concrete carried by the execution end exceeds the concrete demand, and does not transfer the execution end to the demand destination of the demand terminal;
if the concrete carrying amount of each execution end in the supply pool is larger than the concrete demand amount of the corresponding demand destination, the cloud server judges that the demand destination needs to be subjected to party cutting, and sends a party cutting prompt to the corresponding demand terminal;
the position L is a coordinate value, L (x, y) is set, and when the execution end is in the concrete transportation process, the cloud server uses the current position of the execution end cm(xm, ym) as a starting point, with a demand destination of the concrete demand order Ci(xi, yi) is constructed as a vector of,In the supply pool formation set Qm and the demand pool formation set Qi, wherein=(xm-xi,ym-yi),Qm={,,…,},Qi={,,…,};
The cloud server is provided with an elastic distance DeltaL, when a single execution end exists and the execution end is positioned in a plurality of supply pools,
if min+△L<,The cloud server judges that the execution end is located in an infeasible interval from the demand destination and informs the corresponding supply terminal to adjust the execution end to minA demand destination of the corresponding demand terminal;
if min+△L≥,The cloud server judges that the execution end is located in a feasible region from the required destination, and determines a transportation terminal point according to the theoretical residual slump sm of concrete carried by the execution end;
when there are multiple such execution ends and each execution end is in multiple corresponding demand pools,
if min+△L<,The cloud server determines min,The corresponding execution end transports the concrete to the demand destination corresponding to the demand pool;
2. The cloud digital supply chain service management platform according to claim 1, wherein a concrete demand order issued by the demand terminal includes slump s0 and a slump adjustment value Δ s0, the demand terminal determines a difference between the theoretical residual slump sm of the execution terminal and the slump s0 included in the order, and compares the difference with the slump adjustment value Δ s0 to determine whether the arrival quality of the concrete transported by the execution terminal meets the order requirement,
if it isThe delta s is less than or equal to 0, the demand terminal judges that the theoretical residual slump of the concrete carried by the execution terminal meets the requirement, and numbers of the execution terminals meeting the requirement are uploaded to the cloud server;
if it isAnd >. DELTA.s 0, the demand terminal judges that the theoretical residual slump of the concrete carried by the execution terminal does not meet the requirement, and uploads the execution terminal number which is closest to the execution terminal and meets the requirement to the cloud server.
3. The cloud digital supply chain service management platform of claim 2, wherein when a single execution end arrives at a corresponding demand destination, the cloud server adjusts the parameters Ci corresponding to the demand order to Ci ' and issues Ci ' after the adjustment is completed, wherein Ci ' = Ci-cm + [0, lm,]。
4. the cloud digital supply chain service management platform as claimed in claim 3, wherein the cloud server stores the demand pool to the corresponding demand terminals after constructing the demand pool, and randomly selects one supply terminal from a plurality of corresponding supply terminals in the demand pool to backup data of the constructed demand pool; and the cloud server constructs the supply pool, stores the supply pool to the corresponding supply terminal, and randomly selects a backup data of the supply pool from a plurality of corresponding demand terminals of the supply pool.
5. The cloud digital supply chain service management platform of claim 4, wherein the terminal identification module only records physical addresses of the demand terminal and the supply terminal, and matches a user with the corresponding physical address; and the cloud server issues and collects the data of the corresponding execution end through the corresponding supply terminal, and copies the corresponding judgment result to the supply terminal corresponding to the execution end.
6. The cloud digital supply chain service management platform of claim 5, wherein for a single supply terminal, the total amount of concrete quantity of the corresponding demand order received by the supply terminal is a fixed value, and the supply chain service behavior of the cloud server in the concrete transportation process does not change.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210821571.6A CN114897450B (en) | 2022-07-13 | 2022-07-13 | Cloud digital supply chain service management platform |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210821571.6A CN114897450B (en) | 2022-07-13 | 2022-07-13 | Cloud digital supply chain service management platform |
Publications (2)
Publication Number | Publication Date |
---|---|
CN114897450A CN114897450A (en) | 2022-08-12 |
CN114897450B true CN114897450B (en) | 2022-11-22 |
Family
ID=82729671
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202210821571.6A Active CN114897450B (en) | 2022-07-13 | 2022-07-13 | Cloud digital supply chain service management platform |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN114897450B (en) |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116485585B (en) * | 2023-04-23 | 2024-08-13 | 克州顺鑫商品混凝土有限责任公司 | Digital concrete management system |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106570673A (en) * | 2016-11-10 | 2017-04-19 | 广州市图吉信息科技有限公司 | Commercial concrete online ordering system based on intelligent mobile phone application |
CN110766528A (en) * | 2019-10-31 | 2020-02-07 | 瑞熙(苏州)智能科技有限公司 | Client credit self-evaluation factory real-time intelligent analysis management system |
CN113537537A (en) * | 2020-04-14 | 2021-10-22 | 重庆建工建材物流有限公司 | Concrete vehicle scheduling method for commercial concrete transportation |
Family Cites Families (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20020154017A1 (en) * | 2001-04-04 | 2002-10-24 | Mbt Holding Ag | Inventory management system for admixtures and additives for concrete, grout and mortar |
AU2005215505A1 (en) * | 2004-02-13 | 2005-09-01 | Rs Solutions, Llc | Method and system for calculating and reporting slump in delivery vehicles |
CN101076490A (en) * | 2004-12-08 | 2007-11-21 | Ultra电子设备制造有限公司 | Method, system and components for operaitng feul distribution system with unmanned self-service gasoline station |
CN104573941A (en) * | 2014-12-26 | 2015-04-29 | 湖南万物工业软件有限公司 | Cloud control method and system for mixing plants |
CN110111182A (en) * | 2019-04-30 | 2019-08-09 | 重庆富典建筑工业化制品有限公司 | A kind of concrete order robs single system |
CN110966022B (en) * | 2019-12-24 | 2022-03-11 | 中铁隧道局集团有限公司 | Railway tunnel lining construction method based on medium-high fluidity concrete |
CN111260233A (en) * | 2020-01-20 | 2020-06-09 | 新砼(北京)科技有限公司 | Concrete industry wisdom ecosystem platform |
CN112801580A (en) * | 2021-01-21 | 2021-05-14 | 河南拉巴拉网络科技有限公司 | Commercial concrete dispatching and transporting system and method |
CN113516338A (en) * | 2021-04-01 | 2021-10-19 | 邝文辉 | Scheduling method and system of concrete mixing transport vehicle and computer equipment |
CN113516339A (en) * | 2021-04-01 | 2021-10-19 | 邝文辉 | Concrete-based operation method |
CN114154934A (en) * | 2021-12-20 | 2022-03-08 | 南京易砼科技有限公司 | Concrete pumping vehicle construction informatization supervision method, system and terminal |
-
2022
- 2022-07-13 CN CN202210821571.6A patent/CN114897450B/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106570673A (en) * | 2016-11-10 | 2017-04-19 | 广州市图吉信息科技有限公司 | Commercial concrete online ordering system based on intelligent mobile phone application |
CN110766528A (en) * | 2019-10-31 | 2020-02-07 | 瑞熙(苏州)智能科技有限公司 | Client credit self-evaluation factory real-time intelligent analysis management system |
CN113537537A (en) * | 2020-04-14 | 2021-10-22 | 重庆建工建材物流有限公司 | Concrete vehicle scheduling method for commercial concrete transportation |
Also Published As
Publication number | Publication date |
---|---|
CN114897450A (en) | 2022-08-12 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN114897450B (en) | Cloud digital supply chain service management platform | |
CN105488750A (en) | Intelligent logistics method and system | |
CN112149981A (en) | Supply chain logistics management method and system of integrated platform | |
US11619931B1 (en) | Interface integration method of AGV job automatic scheduling system and MES system | |
WO2021015663A1 (en) | Delivery route planning apparatus and methods of generating delivery route plans | |
WO2006091399A2 (en) | System and method for controlling the transport of articles | |
CN112508488A (en) | Solid waste vehicle transportation monitoring method, device, equipment and storage medium | |
CN116757611B (en) | Intelligent storage industry Internet of things system and control method | |
CN113988699A (en) | Logistics transportation management method, device, equipment and storage medium | |
CN106845707A (en) | The wisdom logistics service system and method for a kind of information realtime interactive | |
CN109376976A (en) | Material information management method and terminal device | |
CN111160634A (en) | System and method for predicting, financing and transporting emergency material demands | |
CN112308297A (en) | Reusable logistics resource sharing system based on block chain and service integration method | |
CN116128392A (en) | Logistics control system of whole flow | |
CN113506068B (en) | Warehouse-in and warehouse-out method and device, storage medium and electronic equipment | |
CN110910005A (en) | Vehicle scheduling method, device and storage medium | |
CN115471301B (en) | Unmanned vehicle decentralized order dispatching method and device, storage medium and terminal | |
CN116757394A (en) | Scheduling system, scheduling method, scheduling equipment and computer readable storage medium | |
CN111612402B (en) | Automatic arbitration method and device | |
CN114372690A (en) | Order processing method, system, device and storage medium | |
CN113642897A (en) | Order management method, device, equipment and storage medium | |
CN113269339A (en) | Method and system for automatically creating and distributing network appointment tasks | |
JPH04106657A (en) | Physical distribution system | |
CN115796494B (en) | Work order processing method and work order information display method for unmanned vehicle | |
CN116545941B (en) | Instruction sending method, system, intelligent terminal and storage medium |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
TA01 | Transfer of patent application right |
Effective date of registration: 20221102 Address after: 710000 Room 2008, 20th Floor, Dong'an International, No. 127, Shijia Street, Xincheng District, Xi'an, Shaanxi Applicant after: Xi'an Tieyun Chain E-commerce Co.,Ltd. Address before: Room 4-203-4, Xinwan Science and Technology Innovation Park, Xinwan Street, Qiantang New District, Hangzhou City, Zhejiang Province 310000 Applicant before: Zhejiang Zhumengxia Technology Co.,Ltd. |
|
TA01 | Transfer of patent application right | ||
GR01 | Patent grant | ||
GR01 | Patent grant |