Intelligent storage and distribution management system based on Internet of Things
By using IoT technology and electronic tag management, precise location and efficient storage and transportation of power grid metering assets have been achieved, solving the problems of lack of production task judgment and transportation plan in the existing system, and improving management efficiency and transportation reliability.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-22
- Publication Date
- 2026-03-17
AI Technical Summary
The existing IoT-based power grid metering asset warehousing and distribution system cannot accurately determine the saturation of production tasks, cannot determine when to stop production tasks and transport them to the provincial metering center for quality assessment, and lacks inbound and outbound warehousing and transportation plans, resulting in low storage and transportation efficiency.
A smart warehousing and distribution management system based on the Internet of Things was designed, including a warehousing setting module, a production progress update module, an identification module, a transportation control module, a demand order delivery and installation module, and a data integration module. It realizes the verification of the entry and exit of power grid metering assets and transportation management through electronic tags and intelligent identification technology, updates the production progress and transportation plan in real time, monitors the transportation process, and optimizes the delivery route and installation time.
It enables precise location and efficient storage and transportation of power grid metering assets, improves the accuracy of production schedule management and transportation efficiency, ensures transportation quality and on-time delivery rate, provides an evaluation method for system collaborative management, and enhances overall management efficiency.
Smart Images
Figure CN121684744A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of smart warehousing and distribution, and more specifically, to a smart warehousing and distribution management system based on the Internet of Things. Background Technology
[0002] In the modern logistics industry, the efficiency and accuracy of warehousing and distribution systems are crucial to the operation of enterprises. Traditional manual data entry, loading, and transportation of goods have been gradually phased out, and the identification and verification of goods entering the warehouse and the tracking of goods logistics based on radio frequency identification technology have gradually become a popular trend.
[0003] The existing IoT-based power grid metering asset warehousing and distribution system uses advanced image recognition technology. It captures images of items through cameras, uses deep learning algorithms to identify items, and uses sensors to obtain real-time location information of items to achieve precise positioning. According to order requirements, robots automatically pick and load items, and big data analysis optimizes delivery routes to achieve fast and accurate delivery of items.
[0004] However, the above system still has some problems: the system does not monitor the production process of power grid metering assets, cannot accurately determine whether the production task of the producer is saturated, is uncertain when to stop the production task, and cannot accurately determine when to transport the produced power grid metering assets to the provincial metering center for quality appraisal. The system only describes how to realize the entry and exit verification of power grid metering assets, but does not explain the entry and exit arrangement and transportation method, so it is impossible to obtain an accurate power grid metering asset storage, arrangement and transportation plan. Summary of the Invention
[0005] In order to overcome the above-mentioned defects of the prior art, embodiments of the present invention provide an Internet of Things-based smart warehousing and distribution management system to solve the problems mentioned in the background art.
[0006] To achieve the above objectives, the present invention provides the following technical solution: an Internet of Things-based intelligent warehousing and distribution management system, comprising: The storage setting module is used to set the entry and exit verification methods and entry and exit arrangement and transportation methods of the storage warehouse for power grid metering assets from production to final application, record the time required for each entry and exit and the quantity of power grid metering assets entering and exiting the warehouse, and calculate the entry and exit efficiency. Production progress update module: Performs quality self-inspection on the produced power grid metering assets, stores the electronic tags configured through the quality self-inspection in the original warehouse, and updates the production progress after real-time verification of the quantity of power grid metering assets in the original warehouse. The evaluation module is used to evaluate whether the produced power grid metering assets meet the operating standards, record the number of power grid metering assets evaluated each time and the evaluation results, and calculate the output qualification rate based on this. Transportation control module: It segments the transportation process of power grid metering assets, formulates transportation plans for each transportation link and monitors the actual transportation process, and calculates the quality control capability coefficient of each transportation link based on relevant data records of the actual transportation process. Demand order delivery and installation module: After receiving an order and obtaining the location of the asset application point and the expected installation time, it automatically analyzes the feasibility of the expected installation time. If the expected installation time is not feasible, it sends a notification to the order initiator to modify the installation time. Then, professional installation personnel complete the delivery and installation tasks. Data integration module: Collects data within a preset period, including inbound / outbound efficiency, output qualification rate, quality control capability coefficients of the first, second, and third transportation links, number of asset demand order delivery and installations, and number of on-time delivery and installations of asset demand orders. Calculates average inbound / outbound efficiency, average output qualification rate, average transportation quality control capability coefficient, and on-time delivery and installation rate. Collaborative Management Quality Assessment Module: Calculates the collaborative management quality assessment index based on average inbound and outbound efficiency, average output qualification rate, average transportation quality control capability coefficient, and on-time delivery and installation rate. Database: Used to store data information for all modules in the system.
[0007] Preferably, the warehousing setting module includes an inbound / outbound verification method setting unit, an inbound / outbound layout and transportation method setting unit, an inbound / outbound record unit, and an inbound / outbound efficiency calculation unit. The inbound / outbound verification method setting unit is used to set the inbound / outbound verification method for power grid metering assets. For power grid metering assets in transit warehouses, original warehouses, provincial metering centers, municipal power grid metering asset storage warehouses, and county-level power grid metering asset storage warehouses, the inbound / outbound of power grid metering assets is directly read by the intelligent identification sensor installed at the warehouse entrance, which records the power grid metering asset information by reading the electronic tag configured on the power grid metering asset. The inbound / outbound layout and transportation method setting unit is used to set the layout and inbound / outbound of power grid metering assets within the warehouse. In the outbound transportation method, during the inbound arrangement and transportation, the power grid metering assets equipped with electronic tags are transported and placed in the warehouse in chronological order of their entry time, starting from the warehouse gate and proceeding from near to far using unmanned delivery vehicles. During the outbound arrangement and transportation, the process is reversed, starting from the power grid metering asset placement point furthest from the warehouse gate and transporting the assets outwards. The inbound / outbound recording unit records the quantity of power grid metering assets entering the warehouse, the inbound duration, and the quantity and outbound duration of power grid metering assets each time. The inbound / outbound efficiency calculation unit calculates the inbound efficiency Xra based on the quantity mra of the inbound power grid metering assets and the inbound duration Tra, using the following formula: The outbound efficiency Xrb is calculated based on the quantity of outbound grid assets (mrb) and the outbound duration (Trb). The specific formula is as follows: .
[0008] Preferably, the production progress update module includes a transit warehouse entry / exit registration unit, a production asset quality self-inspection unit, an electronic tag configuration unit, an original warehouse entry / exit registration unit, and an original warehouse asset quantity real-time update unit. The transit warehouse entry / exit registration unit is used to register the entry time and quantity of the grid metering assets produced in the transit warehouse and the exit time and quantity of the grid metering assets, and to sum the quantity of grid metering assets stored in the transit warehouse in real time. The production asset quality self-inspection unit sets a rated quantity of grid metering assets for quality self-inspection. When the quantity of grid metering assets stored in the transit warehouse is greater than or equal to the set rated quantity of grid metering assets for quality self-inspection, it sends an instruction to the unmanned delivery vehicle to enter the assets into the transit warehouse. The system transports a predetermined quantity of assets to the quality self-inspection site in chronological order to conduct quality self-inspection of the produced power grid metering assets. An electronic tag configuration unit assigns electronic tags to the power grid metering assets that pass the quality self-inspection. Each electronic tag contains the asset name, model, and a digital code generated from the quality self-inspection passing date and passing order. An original warehouse entry and exit registration unit records the entry time and quantity of power grid metering assets with electronic tags, as well as the exit time and quantity. An original warehouse asset quantity real-time update unit continuously verifies the quantity of power grid metering assets in the original warehouse, and after setting a production quantity target, updates the existing quantity of power grid metering assets and the remaining quantity of power grid metering assets to be added to the original warehouse in real time.
[0009] Preferably, the evaluation module includes a quality evaluation unit, an evaluation recording unit, an output pass rate calculation unit, and an evaluation feedback unit. The quality evaluation unit is used to evaluate whether the produced power grid metering assets meet the operating standards. The evaluation recording unit is used to record the number of power grid metering assets evaluated, the number of power grid metering assets that passed the evaluation, and the number of power grid metering assets that failed the evaluation. The output pass rate calculation unit calculates the output pass rate Lcg based on the recorded number of evaluated power grid metering assets (mqz) and the number of qualified power grid metering assets (mqg), using the following formula: The evaluation feedback unit publishes the output qualification rate calculated for each evaluation and sends a warning to the producer when the output qualification rate is lower than the preset value.
[0010] Preferably, the transportation control module includes a first transportation link scheme formulation unit, a second transportation link scheme formulation unit, a third transportation link scheme formulation unit, a transportation link monitoring unit, and a transportation link data processing unit. The first transportation link refers to the link of transporting power grid metering assets from the production site to the provincial metering center, the second transportation link refers to the link of transporting power grid metering assets from the provincial metering center to the municipal power grid metering asset storage warehouse, and the third transportation link refers to the link of transporting power grid metering assets from the municipal power grid metering asset storage warehouse to the county-level power grid metering asset storage warehouse.
[0011] Preferably, the first transportation plan formulation unit formulates a first transportation plan based on the characteristics of the produced power grid metering assets, the geographical location of the production site and the provincial metering center, and the number of dispatchable vehicles when the remaining quantity of power grid metering assets to be replenished in the original warehouse is 0. The first transportation plan includes the transportation route, transportation vehicle information, expected transportation cycle, power grid metering asset transportation packaging information, and transportation start time. The second transportation plan formulation unit allocates the quantity of power grid metering assets to each city in the province and formulates a second transportation plan after the provincial metering center completes the appraisal of the produced power grid metering assets. The second transportation plan includes the power grid metering asset share of each city in the province, transportation vehicle information, transportation route, and expected transportation cycle. The third transportation plan formulation unit allocates the quantity of power grid metering assets within the city when the municipal power grid metering asset storage warehouse reaches its storage limit. The quantity of power grid metering assets in each district or county is determined, and a third transportation plan is formulated. This third transportation plan includes the share of power grid metering assets in each district or county within the city, transportation vehicle information, transportation routes, and expected transportation cycles. A transportation monitoring unit monitors the actual transportation status of each transportation link, recording the number of route deviations, actual transportation vehicle information, actual transportation cycles, and asset transportation losses in the first transportation link. It also records the actual share of power grid metering assets, actual transportation vehicle information, number of route deviations, asset transportation losses, and transportation cycles in the second and third transportation links. The transportation data processing unit calculates the quality control capability coefficient Xa of the first transportation link based on the number of route deviations (MPa), transportation vehicle information matching degree (ζa), transportation overdue coefficient (βa), and asset loss rate (αa). The specific formula is as follows: The specific formula for calculating the quality control capability coefficient Xb of the second transportation link, based on the asset share matching degree εb, the transportation vehicle information matching degree ζb, the number of transportation route deviations mpb, the asset loss rate αb, and the transportation overdue coefficient βb, is as follows: The specific formula for calculating the quality control capability coefficient Xc of the third transportation link, based on the asset share matching degree εc, the transportation vehicle information matching degree ζc, the number of transportation route deviations mpc, the asset loss rate αc, and the transportation overdue coefficient βc, is as follows: .
[0012] Preferably, the demand order delivery and installation module includes an order receiving unit, an expected installation feasibility analysis unit, an installation time update unit, a delivery trajectory tracking unit, a delivery and installation punctuality determination unit, and an installation service unit. The order receiving unit receives the geographical location of the power grid metering asset installation point, the quantity of power grid metering assets, and the expected installation time provided by the order initiator. When obtaining the geographical location of the asset installation point and the expected installation time, the expected installation feasibility analysis unit uses the county-level power grid service center as the origin, the county-level power grid metering asset warehouse as the first target point, and the geographical location of the power grid metering asset installation point as the second target point to perform path retrieval and generate several delivery path combination schemes. It calculates the maximum delivery time for each delivery path combination scheme according to road speed restrictions and maximum red light waiting time, marks the final maximum delivery time as the minimum time limit, and sets the order processing response time. If the sum of the time limit and the order processing response time is greater than the difference between the expected installation time and the earliest power grid service working time after the order is issued, the expected installation time is deemed infeasible; otherwise, the expected installation time is deemed feasible. The installation time update unit sends a prompt to the order initiator to modify the installation time when the expected installation time is deemed infeasible, until the expected installation time becomes feasible. The delivery trajectory tracking unit updates the delivery location of the power grid metering asset in real time. Delivery is deemed complete when the straight-line distance between the real-time location of the power grid metering asset and the geographical location of the installation point is less than or equal to 1 meter, and the delivery completion time is marked as the actual delivery time. The delivery and installation punctuality judgment unit determines delivery and installation punctuality when the actual delivery time is earlier than or equal to the expected installation time. The installation service unit performs subsequent installation by professional installation personnel after the power grid metering asset is delivered, and the order is terminated after a successful trial run.
[0013] Preferably, the specific data processing procedure in the data integration module is as follows: B1. Collect the following data within the preset period: inbound and outbound efficiency, output qualification rate, quality control capability coefficients of the first, second, and third transportation links, number of asset demand order delivery and installations, and number of asset demand order delivery and installations on time. B2. Calculate the average inbound / outbound efficiency Xre based on the i-th inbound efficiency Xrai and the j-th outbound efficiency Xrbj calculated within a preset period. The specific formula is as follows: nra and nrb represent the number of inbound and outbound transactions within a preset period, respectively. B3. Calculate the average output qualification rate Lcge based on the i-th output qualification rate Lcgi calculated within the preset period. The specific formula is as follows: nd represents the number of times the provincial metrology center appraises power grid metrology assets within a preset period; B4. Calculate the average transportation quality control capability coefficient XYe based on the quality control capability coefficient Xai of the i-th first transportation link, the quality control capability coefficient Xbj of the j-th second transportation link, and the quality control capability coefficient Xck of the k-th third transportation link calculated within a preset period. The specific formula is as follows: nYa, nYb, and nYc represent the number of transport trips in the first, second, and third transport stages within the preset period, respectively. B5. Calculate the on-time delivery and installation rate Lpz based on the number of asset demand order deliveries and installations (mwz) and the number of on-time asset demand order deliveries and installations (mwr) within a preset period. The specific formula is as follows: .
[0014] Preferably, the specific formula for calculating the collaborative management quality assessment index QX in the collaborative management quality assessment module, based on average inbound / outbound efficiency, average output qualification rate, average transportation quality control capability coefficient, and delivery / installation punctuality rate, is as follows: , where e is the natural constant.
[0015] The technical effects and advantages of this invention are as follows: 1. This invention includes a production progress update module that performs quality self-inspection on the produced power grid metering assets. Electronic tags are attached to the assets through this quality self-inspection and stored in the original warehouse. The production progress is updated in real-time after the quantity of power grid metering assets in the original warehouse is verified, accurately determining the remaining quantity of power grid metering assets to be added, thus avoiding asset waste caused by overproduction and insufficient storage space. The transportation of power grid metering assets from the production site to the provincial metering center is marked as the first transportation stage. When the remaining quantity of power grid metering assets to be added in the original warehouse is 0, a first transportation plan is formulated based on the characteristics of the power grid metering assets at the production site, the geographical locations of the production site and the provincial metering center, and the number of dispatchable vehicles, clarifying the conditions for transferring power grid metering assets from the production site to the provincial metering center. Simultaneously, a warehousing setting module is set to define the entry and exit verification methods and the entry and exit arrangement and transportation methods for power grid metering assets during the process from production to final application, clarifying the specific methods for the storage, arrangement, and transportation of power grid metering assets.
[0016] 2. A transportation control module was set up to divide the transportation process of power grid metering assets into three stages: first, second, and third. Transportation plans were developed for each stage, and the actual transportation process was monitored. Based on relevant data records from the actual transportation process, a quality control capability coefficient for each stage was calculated. This facilitates standardized transportation management and improves transportation reliability and efficiency. An asset demand order delivery and installation module was also set up. After receiving an order and obtaining the location of the asset application point and the expected installation time, it automatically analyzed the feasibility of the expected installation time. If the expected installation time was not feasible, a notification was sent to the order initiator to modify the installation time. The delivery and installation tasks were then completed by professional installation personnel. The module also tracks the number of asset demand order delivery and installations within a preset period. The method calculates the on-time delivery and installation rate based on the number of times the asset demand order is delivered and installed on time, which is beneficial to improving the delivery efficiency and service quality of power grid metering assets. At the same time, it calculates the inbound and outbound efficiency and the output qualification rate, and collects the inbound and outbound efficiency, output qualification rate, and quality control capability coefficients of the first, second, and third transportation links within a preset period to calculate the average inbound and outbound efficiency, average output qualification rate, and average transportation quality control capability coefficient. Based on the average inbound and outbound efficiency, average output qualification rate, average transportation quality control capability coefficient, and delivery and installation on-time rate, a collaborative management quality assessment index is calculated. This provides a method for evaluating the effectiveness of system collaborative management, which can intuitively show the collaborative management quality of the system through data and provide data support for the subsequent optimization and adjustment of each link. Attached Figure Description
[0017] Figure 1 This is a system structure block diagram of the present invention.
[0018] Figure 2 This is a flowchart illustrating the system operation of the present invention. Detailed Implementation
[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.
[0020] like Figure 1This embodiment provides an IoT-based smart warehousing and distribution management system, including a warehousing setting module, a production progress update module, an appraisal module, a transportation control module, a demand order delivery and installation module, a data integration module, a collaborative management quality assessment module, and a database. The warehousing setting module is connected to the production progress update module, and the production progress update module, transportation control module, and appraisal module are sequentially connected. The warehousing setting module, appraisal module, transportation control module, demand order delivery and installation module, and data integration module are connected to the collaborative management quality assessment module. All modules in the system are connected to the database.
[0021] The storage setting module is used to set the entry and exit verification method and entry and exit arrangement and transportation method of the storage warehouse during the process of power grid metering assets from production to final application, record the time required for each entry and exit and the quantity of power grid metering assets entering and exiting the warehouse, and calculate the entry and exit efficiency.
[0022] Furthermore, the warehousing setting module includes an inbound / outbound verification method setting unit, an inbound / outbound layout and transportation method setting unit, an inbound / outbound recording unit, and an inbound / outbound efficiency calculation unit. The inbound / outbound verification method setting unit is used to set the inbound / outbound verification method for power grid metering assets. For power grid metering assets in transit warehouses, original warehouses, provincial metering centers, municipal power grid metering asset storage warehouses, and county-level power grid metering asset storage warehouses, the inbound / outbound of power grid metering assets is directly read by the intelligent identification sensor installed at the warehouse entrance, which records the power grid metering asset information by reading the electronic tag configured on the power grid metering asset. The inbound / outbound layout and transportation method setting unit is used to set the layout and outbound of power grid metering assets within the warehouse. For inbound transportation, during the warehousing and placement process, grid metering assets equipped with electronic tags are transported and placed in the warehouse in chronological order of their arrival time, starting from the warehouse gate and proceeding from near to far using unmanned delivery vehicles. For outbound transportation, the process is reversed, starting from the grid metering asset placement point furthest from the warehouse gate and transporting the assets outwards. The inbound / outbound recording unit records the quantity of grid metering assets entering the warehouse, the inbound duration, and the quantity and outbound duration of each inbound / outbound transaction. The inbound / outbound efficiency calculation unit calculates the inbound efficiency Xra based on the quantity mra of the inbound grid metering assets and the inbound duration Tra, using the following formula: The outbound efficiency Xrb is calculated based on the quantity of outbound grid assets (mrb) and the outbound duration (Trb). The specific formula is as follows: .
[0023] The production progress update module performs quality self-inspection on the produced power grid metering assets, stores the configuration of the quality self-inspection with electronic tags in the original warehouse, and updates the production progress after real-time verification of the quantity of power grid metering assets in the original warehouse.
[0024] Furthermore, the production progress update module includes a transit warehouse entry / exit registration unit, a production asset quality self-inspection unit, an electronic tag configuration unit, an original warehouse entry / exit registration unit, and an original warehouse asset quantity real-time update unit. The transit warehouse entry / exit registration unit is used to register the entry time and quantity of power grid metering assets produced in the transit warehouse and the exit time and quantity of power grid metering assets, and to sum the quantity of power grid metering assets stored in the transit warehouse in real time. The production asset quality self-inspection unit sets a rated quantity of power grid metering assets for quality self-inspection. When the quantity of power grid metering assets stored in the transit warehouse is greater than or equal to the set rated quantity of power grid metering assets for quality self-inspection, it sends an instruction to the unmanned delivery vehicle to update the quantity of assets entering the transit warehouse according to the requirements. The warehouse transports a predetermined quantity of assets to the quality self-inspection site in chronological order to conduct quality self-inspection of the produced power grid metering assets. The electronic tag configuration unit configures electronic tags on the power grid metering assets that pass the quality self-inspection. The electronic tags contain the asset name, model, and a digital code generated by the quality self-inspection passing date and passing order. The original warehouse entry and exit registration unit is used to register the entry time and quantity of power grid metering assets configured with electronic tags and the exit time and quantity of power grid metering assets. The original warehouse asset quantity real-time update unit verifies the quantity of power grid metering assets in the original warehouse in real time, and updates the quantity of existing power grid metering assets and the remaining quantity of power grid metering assets to be added to the original warehouse in real time after setting the production quantity target.
[0025] In this embodiment, it should be specifically noted that the transit warehouse refers to a warehouse temporarily used for storing power grid metering assets that have not undergone quality self-inspection after the production process is completed; the original warehouse refers to a warehouse used for storing power grid metering assets that have passed quality self-inspection and are equipped with electronic tags.
[0026] The identification module is used to identify whether the produced power grid metering assets meet the operating standards, record the number of power grid metering assets identified each time and the identification results, and calculate the output qualification rate based on this.
[0027] Furthermore, the evaluation module includes a quality evaluation unit, an evaluation recording unit, an output pass rate calculation unit, and an evaluation feedback unit. The quality evaluation unit is used to evaluate whether the produced power grid metering assets meet the operating standards. The evaluation recording unit is used to record the number of power grid metering assets evaluated, the number of power grid metering assets that passed the evaluation, and the number of power grid metering assets that failed the evaluation. The output pass rate calculation unit calculates the output pass rate Lcg based on the recorded number of evaluated power grid metering assets (mqz) and the number of qualified power grid metering assets (mqg), using the following formula: The evaluation feedback unit publishes the output qualification rate calculated for each evaluation and sends a warning to the producer when the output qualification rate is lower than the preset value.
[0028] The transportation control module segments the transportation process of power grid metering assets, formulates transportation plans for each transportation link, monitors the actual transportation process, and calculates the quality control capability coefficient of each transportation link based on relevant data records of the actual transportation process.
[0029] Furthermore, the transportation control module includes a first transportation link plan formulation unit, a second transportation link plan formulation unit, a third transportation link plan formulation unit, a transportation link monitoring unit, and a transportation link data processing unit. The first transportation link refers to the link of transporting power grid metering assets from the production site to the provincial metering center; the second transportation link refers to the link of transporting power grid metering assets from the provincial metering center to the municipal power grid metering asset storage warehouse; and the third transportation link refers to the link of transporting power grid metering assets from the municipal power grid metering asset storage warehouse to the county-level power grid metering asset storage warehouse.
[0030] Furthermore, the first transportation phase planning unit formulates a first transportation plan based on the characteristics of the produced power grid metering assets, the geographical location of the production site and the provincial metering center, and the number of dispatchable vehicles when the remaining quantity of power grid metering assets to be replenished in the original warehouse is 0. This first transportation plan includes the transportation route, vehicle information, expected transportation cycle, power grid metering asset transportation packaging information, and transportation start time. The second transportation phase planning unit allocates the quantity of power grid metering assets to each city within the province and formulates a second transportation plan after the provincial metering center completes the appraisal of the produced power grid metering assets. This second transportation plan includes the share of power grid metering assets for each city within the province, vehicle information, transportation route, and expected transportation cycle. The third transportation phase planning unit allocates city-level power grid metering asset storage warehouses to cities when they reach their storage capacity. The system calculates the number of power grid metering assets in each district or county within the city and formulates a third transportation plan. This third transportation plan includes the share of power grid metering assets in each district or county within the city, transportation vehicle information, transportation routes, and expected transportation cycles. A transportation monitoring unit monitors the actual transportation status of each transportation link, recording the number of route deviations, actual transportation vehicle information, actual transportation cycles, and asset transportation losses in the first transportation link. It also records the actual share of power grid metering assets, actual transportation vehicle information, number of route deviations, asset transportation losses, and transportation cycles in the second and third transportation links. The transportation data processing unit calculates the quality control capability coefficient Xa of the first transportation link based on the number of route deviations (MPa), transportation vehicle information matching degree (ζa), transportation overdue coefficient (βa), and asset loss rate (αa) in the first transportation link. The specific formula is as follows: The specific formula for calculating the quality control capability coefficient Xb of the second transportation link, based on the asset share matching degree εb, the transportation vehicle information matching degree ζb, the number of transportation route deviations mpb, the asset loss rate αb, and the transportation overdue coefficient βb, is as follows: The specific formula for calculating the quality control capability coefficient Xc of the third transportation link, based on the asset share matching degree εc, the transportation vehicle information matching degree ζc, the number of transportation route deviations mpc, the asset loss rate αc, and the transportation overdue coefficient βc, is as follows: .
[0031] In this embodiment, it is specifically noted that during the formulation of the first transportation plan, the packaging method and materials are selected based on the characteristics of the power grid metering assets produced. After packaging, the spatial volume of a single power grid metering asset and the spatial volume of the transport vehicle are recorded, and the maximum number of packages that can be accommodated in the transport vehicle is calculated. Based on the number of power grid metering assets and the maximum number of packages that can be accommodated in the transport vehicle, the minimum number of transport vehicles required is calculated. The selected transport vehicle number, model, and license plate number constitute the transport vehicle information. The transportation start time is the time when the transport vehicle completes loading. When loading is completed, the provincial metering center will receive a notification to start transportation. After obtaining the geographical locations of the production site and the provincial metering center, a search can be performed with the production site as the starting point and the provincial metering center as the ending point to generate... Given several route combination schemes, after filtering out all routes where the real-time road width or height is less than that of the transport vehicle, record the number of current combination schemes as ns. Sort the current route combination schemes using the shortest distance as the primary keyword; this sorting is defined as the primary sort. The integrals of the combination schemes from shortest to longest are denoted as fa1=ns, fa2=ns-1, ..., fans=1. Sort the current route combination schemes using the maximum traffic light duration as the secondary keyword; this sorting is defined as the secondary sort. The integrals of the combination schemes from shortest to longest are denoted as fb1=ns, fb2=ns-1, ..., fbns=1. Calculate the comprehensive integral fzk of the k-th combination scheme, i.e. faki represents the integral corresponding to the k-th combination scheme in the primary order of i, fbkj represents the integral corresponding to the k-th combination scheme in the secondary order of j, x1 and x2 are the weight coefficients corresponding to the primary and secondary order integrals, x1>x2, the combination path corresponding to the maximum value of the comprehensive integral is taken as the target transportation route, the expected transportation cycle is based on the road speed limit and eight hours of driving per day, the distance of the target transportation route is the number of hours converted from the transportation days calculated from the total distance, and the transportation plan formulation standards of the first transportation stage are referenced when the same characteristic points are formulated in the subsequent second and third transportation stages.
[0032] In this embodiment, it should be specifically noted that the matching degree of transport vehicle information refers to the consistency between the vehicle number, model, and license plate number used in actual transportation and the transport vehicle number, model, and license plate number specified in the transportation plan. Vehicle numbers, models, and license plate numbers that are associated and have the same total number are all denoted as mab. The number of vehicle numbers, models, and license plate numbers that match the actual transportation and the transportation plan are denoted as mab1, mab2, and mab3, respectively. Therefore, the formula for calculating the matching degree of transport vehicle information is: Based on this algorithm, the matching degree of transport vehicle information in each transportation link is calculated. For ease of distinction, the matching degree of transport vehicle information in the first, second, and third transportation links is represented by ζa, ζb, and ζc, respectively. The transportation delinquency coefficient represents the degree to which the actual transportation exceeds the expected transportation cycle in the transportation plan, and is represented by Ts and Ty, respectively, to represent the actual transportation cycle and the expected transportation cycle. The formula for calculating the transportation delinquency coefficient is as follows: For ease of distinction, the matching degree of transport vehicle information in the first, second, and third transport stages is represented by βa, βb, and βc, respectively. The asset loss rate is the number of assets lost during the asset transport process, which can be expressed as the ratio of the actual loss quantity to the total transport volume. This will not be calculated in detail here. The asset share matching degree is the degree of closeness between the actual transported grid metering assets and the set grid metering asset allocation quantity, denoted by mcx for the actual transported grid metering assets and mcy for the set grid metering asset allocation quantity. The formula for calculating the asset share matching degree is: .
[0033] In this embodiment, the specific steps for allocating the number of power grid metering assets for each city within the province and the number of power grid calculation assets for each district or county within the city are as follows: A1. Let mfz be the number of power grid metering assets that can be allocated by the provincial metering center, nc be the number of cities in the province, mhi be the current application amount of power grid metering assets in the i-th city in the province, and mayi be the current balance of power grid metering assets in the municipal power grid metering asset warehouse of the i-th city in the province. A2. Calculate the ratio of the number of power grid metering assets currently in use in each city, denoted as... Then there is ; A3. After asset allocation, the proportion of power grid metering assets in the municipal-level power grid metering asset warehouse of each city should also satisfy the above relationship. Let mdi be the number of power grid metering assets to be allocated in the i-th city. Then we have , where ms0 is the number of power grid metering assets retained by the provincial metering center; A4. Denote the grid metering assets of the i-th allocable municipal-level grid metering asset warehouse as mfai. Let nxi be the total number of districts or counties within the i-th city, and mhij be the current application amount of power grid metering assets in the j-th district or county within the i-th city. The current balance of power grid metering assets in the j-th county-level power grid metering asset storage warehouse in the i-th city is mxij; A5. Calculate the ratio of the number of power grid metering assets currently in use in each district and county of the i-th city, denoted as . Then there is ; A6. After asset allocation, the proportion of power grid metering assets in each county-level power grid metering asset warehouse in the i-th city should also satisfy the above relationship. Let mcij be the quantity of power grid metering assets to be allocated in the j-th district / county within the i-th city. Then we have , where mxi0 is the number of power grid metering assets retained in the municipal power grid metering asset warehouse of the i-th city.
[0034] The order delivery and installation module automatically analyzes the feasibility of the expected installation time after receiving the order, obtaining the location of the asset application point and the expected installation time. If the expected installation time is not feasible, it sends a notification to the order initiator to modify the installation time, and then the delivery and installation tasks are completed by professional installers.
[0035] Furthermore, the demand order delivery and installation module includes an order receiving unit, an expected installation feasibility analysis unit, an installation time update unit, a delivery trajectory tracking unit, a delivery and installation punctuality determination unit, and an installation service unit. The order receiving unit receives the geographical location of the power grid metering asset installation point, the quantity of power grid metering assets, and the expected installation time provided by the order initiator. The expected installation feasibility analysis unit, when obtaining the geographical location of the asset installation point and the expected installation time, uses the county-level power grid service center as the origin, the county-level power grid metering asset warehouse as the first target point, and the geographical location of the power grid metering asset installation point as the second target point to perform path retrieval and generate several delivery route combination schemes. It calculates the maximum delivery time for each delivery route combination scheme according to road speed restrictions and maximum red light waiting time, marks the final maximum delivery time as the minimum time, and sets the order processing response time. If the sum of the minimum installation time and the order processing response time is greater than the difference between the expected installation time and the earliest power grid service working time after the order is issued, the expected installation time is deemed infeasible; otherwise, the expected installation time is deemed feasible. The installation time update unit sends a prompt to the order initiator to modify the installation time when the expected installation time is deemed infeasible, until the expected installation time becomes feasible. The delivery trajectory tracking unit updates the delivery location of the power grid metering asset in real time. Delivery is deemed complete when the straight-line distance between the real-time location of the power grid metering asset and the geographical location of the installation point is less than or equal to 1 meter, and the delivery completion time is marked as the actual delivery time. The delivery and installation punctuality determination unit determines delivery and installation punctuality when the actual delivery time is earlier than or equal to the expected installation time. The installation service unit performs subsequent installation by professional installation personnel after the power grid metering asset is delivered, and the order is terminated after a successful trial run.
[0036] The data integration module collects the inbound / outbound efficiency, output qualification rate, quality control capability coefficients of the first, second, and third transportation links, number of asset demand order delivery and installations, and number of on-time delivery and installations of asset demand orders within a preset period, and calculates the average inbound / outbound efficiency, average output qualification rate, average transportation quality control capability coefficient, and on-time delivery and installation rate.
[0037] Furthermore, the specific data processing procedure in the data integration module is as follows: B1. Collect the following data within the preset period: inbound and outbound efficiency, output qualification rate, quality control capability coefficients of the first, second, and third transportation links, number of asset demand order delivery and installations, and number of asset demand order delivery and installations on time. B2. Calculate the average inbound / outbound efficiency Xre based on the i-th inbound efficiency Xrai and the j-th outbound efficiency Xrbj calculated within a preset period. The specific formula is as follows: nra and nrb represent the number of inbound and outbound transactions within a preset period, respectively. B3. Calculate the average output qualification rate Lcge based on the i-th output qualification rate Lcgi calculated within the preset period. The specific formula is as follows: nd represents the number of times the provincial metrology center appraises power grid metrology assets within a preset period; B4. Calculate the average transportation quality control capability coefficient XYe based on the quality control capability coefficient Xai of the i-th first transportation link, the quality control capability coefficient Xbj of the j-th second transportation link, and the quality control capability coefficient Xck of the k-th third transportation link calculated within a preset period. The specific formula is as follows: nYa, nYb, and nYc represent the number of transport trips in the first, second, and third transport stages within the preset period, respectively. B5. Calculate the on-time delivery and installation rate Lpz based on the number of asset demand order deliveries and installations (mwz) and the number of on-time asset demand order deliveries and installations (mwr) within a preset period. The specific formula is as follows: .
[0038] The collaborative management quality assessment module calculates the collaborative management quality assessment index based on average inbound and outbound efficiency, average output qualification rate, average transportation quality control capability coefficient, and delivery and installation punctuality rate.
[0039] Furthermore, the specific formula for calculating the collaborative management quality assessment index QX in the collaborative management quality assessment module, based on average inbound / outbound efficiency, average output qualification rate, average transportation quality control capability coefficient, and delivery / installation punctuality rate, is as follows: , where e is the natural constant.
[0040] The database is used to store data information for all modules in the system.
[0041] In this embodiment, it should be noted that the weighting coefficients and preset values used are selected based on actual needs, and no specific value restrictions are imposed here.
[0042] like Figure 2 This embodiment provides a smart warehousing and distribution method based on the Internet of Things, including the following steps: S1: Set the entry and exit verification method and entry and exit arrangement and transportation method of the storage warehouse for power grid metering assets from production to final application, record the time required for each entry and exit and the quantity of power grid metering assets entering and exiting the warehouse, and calculate the entry and exit efficiency. S2: Perform quality self-inspection on the produced power grid metering assets, and store the electronic tags configured through the quality self-inspection in the original warehouse. Update the production progress after real-time verification of the quantity of power grid metering assets in the original warehouse. S3: Used to determine whether the produced power grid metering assets meet the operating standards, record the number of power grid metering assets and the results of each determination, and calculate the output qualification rate based on this. S4: Segment the transportation process of power grid metering assets, formulate transportation plans for each transportation link and monitor the actual transportation process, and calculate the quality control capability coefficient of each transportation link based on relevant data records of the actual transportation process. S5: After receiving an order and obtaining the location of the asset application point and the expected installation time, it automatically analyzes the feasibility of the expected installation time. If the expected installation time is not feasible, it sends a notification to the order initiator to modify the installation time. Then, the delivery and installation tasks are completed by professional installers. S6: Collect the inbound and outbound efficiency, output qualification rate, quality control capability coefficient of the first, second and third transportation links, number of times of asset demand order delivery and installation, and number of times of on-time delivery and installation of asset demand orders within the preset period, and calculate the average inbound and outbound efficiency, average output qualification rate, average transportation quality control capability coefficient, and delivery and installation on-time rate respectively. S7: Calculate the collaborative management quality assessment index based on average inbound and outbound efficiency, average output qualification rate, average transportation quality control capability coefficient, and delivery and installation punctuality rate.
[0043] In conclusion, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.
Claims
1. An Internet of Things-based intelligent warehousing and distribution management system, characterized in that: Comprise: Warehouse setting module: for setting the way of checking and arranging transportation of the power grid metering assets in the warehouse from production to final application process, recording the required time and the number of power grid metering assets for each time of entering and leaving the warehouse and calculating the efficiency of entering and leaving the warehouse; Production progress updating module: for self-inspecting the quality of the produced power grid metering assets, storing the electronic tags in the original warehouse through the configuration of quality self-inspection, and updating the production progress by real-time counting the number of power grid metering assets in the original warehouse; Identification module: for identifying whether the produced power grid metering assets meet the operation standard, recording the number of power grid metering assets for each identification and the identification result, and calculating the qualified rate based on the above; Transportation control module: for cutting the transportation process of power grid metering assets, formulating the transportation scheme of each transportation link and monitoring the actual transportation process, and calculating the quality control ability coefficient of each transportation link based on the relevant data records of the actual transportation process; Demand order distribution and installation module: for automatically analyzing the feasibility of the expected installation time after receiving the order to obtain the asset application point position and the expected installation time, sending a notification to the order initiator to modify the installation time if the expected installation time is not feasible, and then completing the distribution and installation tasks by professional installation personnel; Data integration module: for collecting the calculated warehouse efficiency, qualified rate, quality control ability coefficient of the first, second and third transportation links, asset demand order distribution and installation times, and asset demand order distribution and installation punctual times in a preset period, and calculating the average warehouse efficiency, average qualified rate, average transportation quality control ability coefficient, and distribution and installation punctual rate respectively; Collaborative management quality evaluation module: for calculating the collaborative management quality evaluation index based on the average warehouse efficiency, average qualified rate, average transportation quality control ability coefficient, and distribution and installation punctual rate; 2. The intelligent warehouse distribution management system based on the Internet of Things according to claim 1, characterized in that: The warehouse setting module includes an in-out warehouse verification mode setting unit, an in-out warehouse arrangement and transportation mode setting unit, an in-out warehouse recording unit, and an in-out warehouse efficiency calculation unit. The in-out warehouse verification mode setting unit is used to set the in-out warehouse verification mode of power grid measurement assets. For the transfer warehouse, the original warehouse, the provincial measurement center, the city-level power grid measurement asset storage warehouse, and the county-level power grid measurement asset storage warehouse, the in-out warehouse of the power grid measurement assets is directly read by the intelligent recognition sensor installed at the warehouse entrance to enter the power grid measurement asset information of the power grid measurement asset configuration. The in-out warehouse arrangement and transportation mode setting unit is used to set the arrangement mode of the power grid measurement assets in the warehouse and the in-out transportation mode. When arranging and transporting the in-out warehouse, the power grid measurement assets with the configured electronic tags are transported and placed in the warehouse from near to far using the unmanned distribution vehicle from the warehouse gate as the starting point according to the sequence of the in-out warehouse time. When arranging and transporting the in-out warehouse, it is completely opposite. The power grid measurement assets are transported out from the inside to the outside from the power grid measurement asset placement point farthest from the warehouse gate as the starting point. The in-out warehouse recording unit is used to record the number of in-out warehouse power grid measurement assets, the in-out warehouse time, and the number of out-of-warehouse power grid measurement assets, the out-of-warehouse time. The in-out warehouse efficiency calculation unit calculates the in-out warehouse efficiency Xra based on the number of in-warehouse power grid measurement assets mra and the in-warehouse time Tra. The specific formula is: The out-of-warehouse efficiency Xrb is calculated based on the number of out-of-warehouse power grid measurement assets mrb and the out-of-warehouse time Trb. The specific formula is: .
3. The intelligent warehouse distribution management system based on the Internet of Things according to claim 1, characterized in that: The production progress updating module comprises a transit warehouse entering and leaving registration unit, a production asset quality self-inspection unit, an electronic tag configuration unit, an original warehouse entering and leaving registration unit, and an original warehouse asset quantity real-time updating unit, the transit warehouse entering and leaving registration unit is used for registering the entering time, quantity and the leaving time, quantity of power grid metering assets in the transit warehouse, and real-time counting the number of power grid metering assets stored in the transit warehouse; The production asset quality self-check unit sets a quality self-check rated quantity of power grid measurement assets, and when the quantity of power grid measurement assets stored in the transit warehouse is greater than or equal to the set quality self-check rated quantity of power grid measurement assets, sends an instruction to the unmanned distribution vehicle to transport the rated quantity of assets in the warehouse according to the time sequence of asset storage in the transit warehouse to the quality self-check site to perform quality self-check on the produced power grid measurement assets; the electronic tag configuration unit configures an electronic tag on the power grid measurement assets that pass the quality self-check, the electronic tag contains the asset name, model, and quality self-check qualified date and qualified order generated digital code; the original warehouse in-out warehouse registration unit is used to register the in-out warehouse time and quantity of power grid measurement assets with the electronic tag; and the original warehouse asset quantity real-time updating unit real-time counts the quantity of power grid measurement assets in the original warehouse, and real-time updates the existing power grid measurement asset quantity in the original warehouse and the remaining power grid measurement asset quantity to be supplemented after setting a production quantity target.
4. The intelligent warehouse distribution management system based on the Internet of Things according to claim 1, characterized in that: The identification module comprises a quality identification unit, an identification record unit, an output qualified rate calculation unit, and an identification feedback unit. The quality identification unit is used to identify whether the produced power grid measurement asset meets the operation standard. The identification record unit is used to record the number of identified power grid measurement assets, the number of power grid measurement assets with qualified identification results, and the number of power grid measurement assets with unqualified identification results. The output qualified rate calculation unit calculates the output qualified rate Lcg based on the recorded number of identified power grid measurement assets mqz and the number of power grid measurement assets with qualified identification results mqg, and the specific formula is: The identification feedback unit discloses the output qualified rate calculated each time, and sends a warning to the production side when the output qualified rate is lower than a preset value.
5. The intelligent warehouse distribution management system based on the Internet of Things according to claim 1, characterized in that: The transportation control module includes a first transportation link scheme development unit, a second transportation link scheme development unit, a third transportation link scheme development unit, a transportation link monitoring unit, and a transportation link data processing unit, wherein the first transportation link refers to the link of transporting power grid measurement assets from the production site to the provincial measurement center, the second transportation link refers to the link of transporting power grid measurement assets from the provincial measurement center to the municipal power grid measurement asset storage warehouse, and the third transportation link refers to the link of transporting power grid measurement assets from the municipal power grid measurement asset storage warehouse to the county-level power grid measurement asset storage warehouse.
6. The intelligent warehouse distribution management system based on the Internet of Things according to claim 5, characterized in that: The first transportation link scheme development unit develops a first transportation scheme based on the characteristics of the produced power grid measurement assets, the geographical positions of the production site and the provincial measurement center, and the number of vehicles that can be dispatched when the remaining power grid measurement asset quantity to be supplemented in the original warehouse is 0, the first transportation scheme including a transportation route, transportation vehicle information, an expected transportation period, power grid measurement asset transportation packaging information, and a transportation start time; The second transportation link scheme formulation unit allocates the number of power grid measurement assets in each city in the province after the provincial measurement center ends the identification of the produced power grid measurement assets and formulates a second transportation scheme, the second transportation scheme including the power grid measurement asset share of each city in the province, transportation vehicle information, transportation route, and expected transportation period; the third transportation link scheme formulation unit allocates the number of power grid measurement assets in each district or county in the city when the city-level power grid measurement asset storage warehouse reaches the storage upper limit and formulates a third transportation scheme, the third transportation scheme including the power grid measurement asset share of each district or county in the city, transportation vehicle information, transportation route, and expected transportation period; the transportation link monitoring unit is used to monitor the transportation status of each transportation link, record the number of transportation route deviations, actual transportation vehicle information, actual transportation period, and asset transportation loss quantity of the first transportation link, and record the actual power grid measurement asset share, actual transportation vehicle information, transportation route deviation number, asset transportation loss quantity, and transportation period of the second and third transportation links; the transportation link data processing unit calculates the specific formula of the quality control capability coefficient Xa of the first transportation link based on the transportation route deviation number mpa, transportation vehicle information matching degree ζa, transportation overdue coefficient βa, and asset loss rate αa in the first transportation link as follows: calculates the specific formula of the quality control capability coefficient Xb of the second transportation link based on the asset share matching degree εb, transportation vehicle information matching degree ζb, transportation route deviation number mpb, asset loss rate αb, and transportation overdue coefficient βb in the second transportation link as follows: calculates the specific formula of the quality control capability coefficient Xc of the third transportation link based on the asset share matching degree εc, transportation vehicle information matching degree ζc, transportation route deviation number mpc, asset loss rate αc, and transportation overdue coefficient βc in the third transportation link as follows: .
7. The intelligent warehouse distribution management system based on the Internet of Things according to claim 1, characterized in that: The demand order distribution installation module comprises an order receiving unit, an expected installation feasibility analysis unit, an installation time updating unit, a distribution trajectory tracking unit, a distribution installation punctuality determination unit, and an installation service unit. The order receiving unit is configured to receive the power grid metering asset installation point geographical position, the power grid metering asset quantity, and the expected installation time provided by an order initiator. The expected installation feasibility analysis unit performs path retrieval to generate a plurality of distribution path combination schemes, taking a county-level power grid service center as an original point, a county-level power grid metering asset warehouse as a first target point, and the power grid metering asset installation point geographical position as a second target point, when the asset installation point geographical position and the expected installation time are obtained. The maximum distribution time length of each distribution path combination scheme is calculated according to the road speed limit, the maximum red light waiting time, and the like. The finally obtained maximum distribution time length is marked as a bottom limit time length. An order processing reaction time length is set. When the sum of the bottom limit time length and the order processing reaction time length is greater than the difference between the expected installation time and the earliest power grid service working time after the order is issued, the expected installation time is determined to be unfeasible. Otherwise, the expected installation time is determined to be feasible. The installation time updating unit sends a prompt to modify the installation time to the order initiator when the expected installation time is determined to be unfeasible, until the expected installation time is feasible. The distribution trajectory tracking unit is configured to update the distribution position of the power grid metering asset in real time. When the straight-line distance between the real-time position of the power grid metering asset and the power grid metering asset installation point geographical position is less than or equal to 1 m, it is determined that the distribution is completed, and the distribution completion time point is marked as the actual arrival time point. The distribution installation punctuality determination unit determines that the distribution installation is punctual when the actual arrival time point is earlier than or equal to the expected installation time point. The installation service unit is configured to perform subsequent installation by professional installation personnel of the distributed asset after the power grid metering asset is delivered, and ends the order after the trial operation is correct.
8. The intelligent warehouse distribution management system based on the Internet of Things according to claim 1, characterized in that: The specific data processing process in the data integration module is as follows: B1, collect the warehouse in and out efficiency, the output qualified rate, the quality control ability coefficient of the first, second and third transportation links, the asset demand order distribution installation times, and the asset demand order distribution installation punctual times calculated in a preset period; B2, calculating the average in-out warehouse efficiency Xre based on the i-th in-warehouse efficiency Xrai and the j-th out-warehouse efficiency Xrbj calculated in the preset period, and the specific formula is: nra and nrb are the in-warehouse times and the out-warehouse times in the preset period, respectively. B3, calculate the average output qualified rate Lcge based on the i-th output qualified rate Lcgi calculated in the preset period, and the specific formula is: nd is the number of times of appraisal of the provincial metering center on the power grid metering assets in the preset period; B4. Calculate the average transport quality control capability coefficient XYe based on the i-th first transport link quality control capability coefficient Xai, the j-th second transport link quality control capability coefficient Xbj, and the k-th third transport link quality control capability coefficient Xck calculated within the preset period, and the specific formula is: nYa, nYb, nYc are the transport frequencies of the first, second, and third transport links within the preset period, respectively. B5, calculate the punctuality rate Lpz based on the asset demand order distribution installation times mwz and the asset demand order distribution installation punctuality times mwr in a preset period, and the specific formula is: . 9.The Internet of Things (IoT) -based intelligent warehouse distribution management system of claim 1, wherein: The specific formula for calculating the collaborative management quality evaluation index QX in the collaborative management quality evaluation module based on the average warehouse in-out efficiency, the average output qualified rate, the average transportation quality control ability coefficient, and the distribution installation punctuality rate is as follows: , e is a natural constant.