CN105608541A - Electric power material supply whole-course early-warning supervise system and method - Google Patents
Electric power material supply whole-course early-warning supervise system and method Download PDFInfo
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Abstract
The invention discloses an electric power material supply whole-course early-warning supervise system and method. The system is composed of an ERP system, a data center and a business system. The ERP system connected with the data center collects information data of a whole business process, a drawing, an inventory, and contract resources of a master ERP system regularly; the data center is used for gathering and analyzing all available resources and providing a data support for whole-course early warning of the material supply; and the business system is used for setting an early-warning threshold value, displaying all monitoring early-warning and early-warning supervision information. An early-warning threshold value is set for an electric power material supply key node and corresponding treatment is carried out according to different business logics; for a business processing node close to the threshold value, the analyzed data are sent to a user for prompting; and a corresponding chart is generated at a client. According to the invention, analyses on business tracking and monitoring early warning of an information management and control node of an electric power material supply chain are realized; and thus the electric power material supply chain can be tracked and monitored conveniently.
Description
Technical field
The present invention relates to one and supply omnidistance early warning monitor system and method based on Power Material.
Background technology
Current power company ERP system has met conventional Business Processing demand, and materials supply chain operation flow is able to standard performance,But between the each service link of supply chain, lack initiatively early warning mechanism, can only lean on people's consciousness to go completing task on time, last linkWork delays to cause delaying of overall work, and then affects Power Material supply chain operational efficiency, cause supply not in time,Inaccurate, power engineering project construction is brought to massive losses.
Summary of the invention
The present invention, in order addressing the above problem, to have proposed one and has supplied omnidistance early warning monitor system and method based on Power Material, shouldIt is all linked with one another that system realizes the each service node of Power Material supply chain, effectively avoids each node work to delay, and improves supply chain entiretyOperational efficiency, ensures that material supply in time, accurately, prevents from Engineering Project Construction to cause damage.
To achieve these goals, the present invention adopts following technical scheme:
An implementation method of supplying omnidistance early warning supervision based on Power Material, comprises the following steps:
(1) the business overall process, drawing, stock, the contract resource information data that gather ERP system are collected in timing, pass throughOracle task, adopts the mode of increment or full dose that automatic data collection is arrived to data center;
(2) data center receives after data, and data are carried out to data cleansing, carry out Uniform data format, delete repetition values,Process missing data, check data accuracy operation;
(3) by Power Material supply key node is arranged to threshold value of warning, locate accordingly by different service logicsReason, for the service processing node of closing on threshold value, by the data after analyzing, initiatively sends prompting to user, passes through simultaneouslyFusionChars chart assembly, generates corresponding chart in client.
In described step (3), use XML as data-interface, by chart and AJAX application program or JavaScript moduleIn conjunction with, provide interactive animation chart to present to end user.
In described step (3), for the service processing node that exceedes threshold value, operation system produces supervisor's list and triggers workflow certainlyMoving circulation.
In described step (3), chart comprises: form, pie chart, curve map, block diagram, bar chart, instrument board are or/and honeybeeNest figure.
In described step (3), analytic process comprises: according to goods and materials data, inventory resource and contract resource information to emergency disposalGoods and materials are alloted. Concrete grammar comprises:
(3-1) decision event type and grade; According to the character of event, content, event type is divided, according to eventThe order of severity, divides its concrete grade;
(3-2) time is analyzed and studied and judged; According to event type and grade, in conjunction with topological structure and the space and geographical letter of electrical networkBreath, the scope on accident impact and the installations and facilities analysis of electrical network are studied and judged;
(3-3) call emergency disposal prediction scheme; Emergency disposal prediction scheme is divided into different templates according to the type difference of accident, isA set of standardized, normalized disposal template, each event all corresponding one dispose prediction scheme template, according to accidentType is called corresponding disposal prediction scheme masterplate, reads the processing method to accident in prediction scheme masterplate;
(3-4) personnel's goods and materials are analyzed: through the result of step (3-1)-(3-3) with call in material on hand database existingMaterial information, determines the goods and materials that need to allot; According to event class, determine the quantity that will allot;
(3-5) allot Algorithm Analysis; According to the geographical position of accident geographical position, material depot, road link and the speed of a motor vehicle,Select the preferential vehicle arriving; And consider the situation that material storage deficiency need to be alloted from contiguous material depot, during to arrivalBetween and the goods and materials quantity of alloting warehouse comprehensively analyze; Evaluate optimal case;
(3-6) optimum is alloted to scheme and actual conditions combine, finely tune, form final scheme; Disposal personnel is according to friendshipLogical block up, the actual conditions of road construction carry out the fine setting of scheme.
In described step (3-1), the type of event, divided rank are according to " Utilities Electric Group Co.'s accident is totally emergent pre-Case " determine; Event type specifically comprises electric power accident class, electricity consumption service class, public health event class, natural calamityEvil class, accident class and security incident class, wherein, electric power accident class comprises electric power accident and large-area power-cuts thingPart; Electricity consumption service class comprises electricity shortage time, important guarantor electricity event and electricity consumption Service events; Natural calamity class comprises floods and droughts calamityEvil, meteorological disaster, earthquake disaster, geological disaster, Oceanic disasters and forest fire; Accident class comprises fire, road public affairsFriendship event, power infrastructures accident, communication system accident and environmental pollution accident; Security incident class comprises Mass disturbance netNetwork and information burst event, casualties event and event concerning foreign affairs.
The concrete grammar of described step (3-5) is as follows: according to the geographical position of accident geographical position, material depot and roadDistribute, calculate the path between accident, material depot, the setting speed of a motor vehicle is n, 60km/h≤n≤110km/h,Calculate running time T1i, i=1,2 ..., m, the total quantity that m is material depot, if the allocated supplies quantity of this material depotNot, need to calculate the running time T from other warehouse relaies2i; Calculate successively different material depots and accident itBetween running time T=T1i+T2i, obtain T less, think scheme optimum.
One is supplied omnidistance early warning monitor system based on Power Material, comprises ERP system, data center and operation system, wherein:
Described ERP system, collects the business overall process, drawing, stock, the contract resource information that gather ERP system for timingData, connection data center;
Described data center, for all available resources of Macro or mass analysis, for the omnidistance early warning of material supply provides Data support, entersRow Uniform data format, deletion repetition values, processing missing data, the operation of inspection data accuracy, connect operation system;
Described operation system, for threshold value of warning is set, shows each monitoring and early warning, early warning supervisor information, by Power MaterialSupply key node arranges threshold value of warning, processes accordingly, for the business place of closing on threshold value by different service logicsReason node, by the data after analyzing, initiatively sends prompting to user, simultaneously by FusionChars chart assembly, clientEnd generates corresponding chart.
Described operation system also comprises data input/output module, distribution of materials computing module, database and data preprocessing module,Wherein, data input/output module connection data storehouse and data preprocessing module, data preprocessing module also with distribution of materials computingModule communication, database is connected with data preprocessing module, data input/output module and distribution of materials computing module.
Described data input/output module, for the character of the request of typing goods and materials, event, content, accident geographical position,Geographical position, road link and the speed of a motor vehicle of material depot, be connected with processing module with database and data;
Described data preprocessing module, for decision event type, grade and the scope on accident impact and the equipment of electrical networkFacility analysis is studied and judged, and is connected with data input/output module, distribution of materials computing module and database;
Described database, for storing topological structure, spatial geographic information, the emergency disposal prediction scheme template of electrical network and alloting warehouseGoods and materials quantity;
Described distribution of materials computing module, for calculating running time and assessment optimal case, with data input/output module, numberData preprocess module is connected with database.
Beneficial effect of the present invention is:
Can realize omnidistance early warning and monitoring to Power Material supply chain overall process information management and control node, effectively avoid work to delay,Effectively improve supply chain overall operation efficiency, ensure that material supply in time, accurately; Overall beautiful interface, feature richness, realityStrong by property.
Brief description of the drawings
Fig. 1 is system block diagram of the present invention.
Detailed description of the invention:
Below in conjunction with accompanying drawing and embodiment, the invention will be further described.
As shown in Figure 1, a kind of implementation method of supplying omnidistance early warning supervision based on Power Material, comprises the following steps:
(1) use ABAP timing to collect the business overall process, drawing, stock, the contract resource information number that gather ERP systemAccording to, by Oracle task, adopt the mode of increment or full dose that automatic data collection is arrived to data center;
(2) data center receives after data, and data are carried out to data cleansing, carry out Uniform data format, delete repetition values,Process missing data, check data accuracy operation.
(3) by Power Material supply key node is arranged to threshold value of warning, locate accordingly by different service logicsReason, for the service processing node of closing on threshold value, by the data after analyzing, initiatively sends prompting to user, passes through simultaneouslyFusionChars chart assembly, generates corresponding chart in client.
In described step (3), use XML as data-interface, by chart and AJAX application program or JavaScript moduleIn conjunction with, provide interactive animation chart to present to end user.
In described step (3), for the service processing node that exceedes threshold value, operation system produces supervisor's list and triggers workflow certainlyMoving circulation.
In described step (3), chart comprises: form, pie chart, curve map, block diagram, bar chart, instrument board and honeycomb figure.
One is supplied omnidistance early warning monitor system based on Power Material, comprises ERP system, data center and operation system, wherein:
Described ERP system, gather for using ABAP timing to collect ERP system business overall process, drawing, stock, closeWith resource information data, connection data center;
Described data center, for all available resources of Macro or mass analysis, for the omnidistance early warning of material supply provides Data support, entersRow Uniform data format, deletion repetition values, processing missing data, the operation of inspection data accuracy, connect operation system;
Described operation system, for threshold value of warning is set, shows each monitoring and early warning, early warning supervisor information, by Power MaterialSupply key node arranges threshold value of warning, processes accordingly, for the business place of closing on threshold value by different service logicsReason node, by the data after analyzing, initiatively sends prompting to user, simultaneously by FusionChars chart assembly, clientEnd generates corresponding chart.
Operation system, data from ERP system, is collected the each crucial joint of Power Material supply by ABAP timing from ERP systemPoint early warning information collects data center, and configuration threshold value of warning provides the rule of different Business Processing, and data are carried out to businessProcess, realize the early warning prompting function of Power Material supply index of correlation, exceed the service early warning information of threshold value for key nodeAutomatically produce the single also automatic flow of supervisor. Early warning display mode mainly contains following several, form, pie chart, curve map, block diagram,Bar charts etc., realize by multidimensional analysis and the operation such as drill through, rotate, bored, bore.
Editor for the ease of data in document uses, and the data content of its displaying need to possess and downloads to local function.
This early warning monitor system comprises the function of Service tracing, monitoring and early warning.
1) Service tracing
Service tracing is paid close attention to the overall process management and control of materials supply chain, by the analysis to each Service Period implementation progress, utilizes industryThe means such as business report, chart displaying, index decomposition, reflection planning management, bidding Management, contract signing, contract are honoured an agreement, are closedWith progress and the circulation situation of each service links such as clearing, promote each service link effective to carry out.
Visualization Platform is intended to the in addition combing combination with curve map, column of key commodity data that each material supply link is paid close attention toThe modes such as figure are carried out Graphical output, the convenient flex point that causes data fluctuations that intuitively, fast finds. In addition, by penetrating inquiry,Ge Wangsheng company and supplier be the traceable detailed data that causes unusual fluctuation fluctuation that inquires also, improves business diagnosis efficiency.
2) monitoring and early warning
Set up key commodity management and monitoring early warning mechanism by goods and materials deployment platform, comprehensively analyze and monitor handling of goods and materials key nodeImplementation status, finds and processes the problem occurring in goods and materials management process early. By predetermined threshold value, realize initiatively early warning andTime supervisor and process management and control, and by early warning information opening to supplier, urge it within the early warning phase, to complete corresponding service processing.
3) emergency guarantee
Under case of emergency, available materials and equipment resources in comprehensive control province, city, county, works out emergency materials guarantee plan,Carry out command deployment according to division of duty and range of management, realize that resource is planned as a whole allotment, demand responds, ensures precise and high efficiency fast,Promote goods and materials emergency response capabilities.
The method that concrete resource is planned as a whole allotment comprises:
(1) decision event type and grade; According to the character of event, content, event type is divided, according to eventThe order of severity, divides its concrete grade;
(2) time is analyzed and studied and judged; According to event type and grade, in conjunction with topological structure and the space and geographical letter of electrical networkBreath, the scope on accident impact and the installations and facilities analysis of electrical network are studied and judged;
(3) call emergency disposal prediction scheme; Emergency disposal prediction scheme is divided into different templates according to the type difference of accident, isA set of standardized, normalized disposal template, each event all corresponding one dispose prediction scheme template, according to accidentType is called corresponding disposal prediction scheme masterplate, reads the processing method to accident in prediction scheme masterplate;
(4) personnel's goods and materials are analyzed: pass through the result of step (1)-(3) and call existing thing in material on hand databaseStanding breath, determines the goods and materials that need to allot; According to event class, determine the quantity that will allot;
(5) allot Algorithm Analysis; According to the geographical position of accident geographical position, material depot, road link and the speed of a motor vehicle,Select the preferential vehicle arriving; And consider the situation that material storage deficiency need to be alloted from contiguous material depot, during to arrivalBetween and the goods and materials quantity of alloting warehouse comprehensively analyze; Evaluate optimal case;
(6) optimum is alloted to scheme and actual conditions combine, finely tune, form final scheme; Disposal personnel is according to friendshipLogical block up, the actual conditions of road construction carry out the fine setting of scheme.
In described step (1), the type of event, divided rank are according to " the overall emergency preplan of Utilities Electric Group Co.'s accident "Determine; Event type specifically comprise electric power accident class, electricity consumption service class, public health event class, natural calamity class,Accident class and security incident class, wherein, electric power accident class comprises electric power accident and large-area power-cuts event; WithElectricity service class comprises electricity shortage time, important guarantor electricity event and electricity consumption Service events; Natural calamity class comprises bloods and droughts, gasResemble disaster, earthquake disaster, geological disaster, Oceanic disasters and forest fire; Accident class comprise fire, road public transport event,Power infrastructures accident, communication system accident and environmental pollution accident; Security incident class comprises Mass disturbance network and informationAccident, casualties event and event concerning foreign affairs.
The concrete grammar of described step (5) is as follows: divide according to the geographical position of accident geographical position, material depot and roadCloth, calculates the path between accident, material depot, and the setting speed of a motor vehicle is n, 60km/h≤n≤110km/h,Calculate running time T1i, i=1,2 ..., m, the total quantity that m is material depot, if the allocated supplies quantity of this material depotNot, need to calculate the running time T from other warehouse relaies2i; Calculate successively different material depots and accident itBetween running time T=T1i+T2i, obtain T less, think scheme optimum.
Below taking severe snow in 2013 invasion and attack Binzhou as example, that carries out that intellectuality allots illustrates:
(1) use ABAP timing to collect the business overall process, drawing, stock, the contract resource information number that gather ERP systemAccording to, by Oracle task, adopt the mode of increment or full dose that automatic data collection is arrived to data center;
(2) data center receives after data, and data are carried out to data cleansing, carry out Uniform data format, delete repetition values,Process missing data, check data accuracy operation.
(3) by Power Material supply key node is arranged to threshold value of warning, locate accordingly by different service logicsReason, for the service processing node of closing on threshold value, by the data after analyzing, initiatively sends prompting to user, passes through simultaneouslyFusionChars chart assembly, generates corresponding chart in client.
(4) decision event type and grade;
Divide according to the type of electrical network accident, this belongs to is the severe snow event of natural calamity class, according to the model of severe snow weather effectEnclose and the extent of damage of electrical network, event class is decided to be three grades.
(5) decision event type and grade;
According to the scope of severe snow, in conjunction with the spatial geographic information of GIS, call the topological structure of electrical network, to current severe snow weather shadowInstallations and facilities and the scope analysis of the electrical network ringing are studied and judged.
(6) call site disposal scheme
Through the analysis to event type, after determining the type and grade of event, go to call three grades of severe snow weather scenes of state's netDisposal method template.
(7) personnel's goods and materials are analyzed
Read the chart of generation, check that various places Power Material supplies quantity and the distribution situation of crucial goods and materials, according to the scene of callingDisposal method, the goods and materials that needs are alloted and the personnel that send analyze; Determine emergency disaster relief goods and materials (cotton-padded overcoat, tent,Automobile anti-skid chain etc.), emergency first-aid repair Work tool (gin wheel, hydraulic tongs, fixing-line device etc.), electrical network restoring material (steel wire rope,Insulator, bracing wire dop etc.) and the concrete commit resources of electrical network rush repair equipment (repairing rifle tower, transformer substation framework, baking oven etc.) and tuneDial quantity; And the degree that is damaged of the type of event and grid equipment facility, the troops such as dispatch emergency troop and corresponding expert.
(8) allot Algorithm Analysis
According to the geographical position of accident geographical position and material depot, call the Analysis Service of the road of GIS map, oneThe fixed speed of a motor vehicle (as 60km/h), the capacity (being not less than 2000kVA) of generator car etc. carry out analytical calculation. If thing in warehouseWhen the money shortage of stock, can allot from contiguous material depot. Can not meet Rush Repair Scheme if rush to repair Work tool in goods and materials storehouse, DezhouDemand time, just can from the material depot in Jinan, allot, the request of alloting can be distributed to the operator on duty of power supply administration of Jinan City and carry outConfirm to reply. Through a series of analytical calculation, draw the quantity of goods and materials and the position of depositing of goods and materials that final needs are alloted.
(9) form the scheme of alloting
According to analytical calculation above, form the scheme of alloting for current emergency.
(10) scheme fine setting
For 9) generate the scheme of alloting, emergency personnel can finely tune according to actual conditions. Such as tying according to roadIce condition condition is finely tuned the route of advancing.
(11) final scheme
Through above-mentioned comprehensive analysis, form the final scheme of alloting, be handed down to emergency personnel and need the power supply public affairs that cooperateDepartment.
By reference to the accompanying drawings the specific embodiment of the present invention is described although above-mentioned, not the limit to protection domain of the present inventionSystem, one of ordinary skill in the art should be understood that on the basis of technical scheme of the present invention, those skilled in the art do not need to payGo out various amendments that creative work can make or distortion still in protection scope of the present invention.
Claims (10)
1. an implementation method of supplying omnidistance early warning supervision based on Power Material, is characterized in that: comprise the following steps:
(1) the business overall process, drawing, stock, the contract resource information data that gather ERP system are collected in timing, pass throughOracle task, adopts the mode of increment or full dose that automatic data collection is arrived to data center;
(2) data center receives after data, and data are carried out to data cleansing, carry out Uniform data format, delete repetition values,Process missing data, check data accuracy operation;
(3) by Power Material supply key node is arranged to threshold value of warning, locate accordingly by different service logicsReason, for the service processing node of closing on threshold value, by the data after analyzing, initiatively sends prompting to user, passes through simultaneouslyFusionChars chart assembly, generates corresponding chart in client.
2. a kind of implementation method of supplying omnidistance early warning supervision based on Power Material as claimed in claim 1, is characterized in that: instituteState in step (3), use XML as data-interface, chart is combined with AJAX application program or JavaScript module,Provide interactive animation chart to present to end user.
3. a kind of implementation method of supplying omnidistance early warning supervision based on Power Material as claimed in claim 2, is characterized in that: instituteState in step (3), for the service processing node that exceedes threshold value, operation system produces supervisor's list and triggers workflow automatic flow.
4. a kind of implementation method of supplying omnidistance early warning supervision based on Power Material as claimed in claim 3, is characterized in that: instituteState in step (3), chart comprises: form, pie chart, curve map, block diagram, bar chart, instrument board are or/and honeycomb figure.
5. a kind of implementation method of supplying omnidistance early warning supervision based on Power Material as claimed in claim 1, is characterized in that: instituteState in step (3), analytic process comprises: according to goods and materials data, inventory resource and contract resource information, emergency disposal goods and materials are enteredRow is alloted.
6. a kind of implementation method of supplying omnidistance early warning supervision based on Power Material as claimed in claim 5, is characterized in that: instituteState in step (3), concrete grammar comprises:
(3-1) decision event type and grade; According to the character of event, content, event type is divided, according to eventThe order of severity, divides its concrete grade;
(3-2) time is analyzed and studied and judged; According to event type and grade, in conjunction with topological structure and the space and geographical letter of electrical networkBreath, the scope on accident impact and the installations and facilities analysis of electrical network are studied and judged;
(3-3) call emergency disposal prediction scheme; Emergency disposal prediction scheme is divided into different templates according to the type difference of accident, isA set of standardized, normalized disposal template, each event all corresponding one dispose prediction scheme template, according to accidentType is called corresponding disposal prediction scheme masterplate, reads the processing method to accident in prediction scheme masterplate;
(3-4) personnel's goods and materials are analyzed: through the result of step (3-1)-(3-3) with call in material on hand database existingMaterial information, determines the goods and materials that need to allot; According to event class, determine the quantity that will allot;
(3-5) allot Algorithm Analysis; According to the geographical position of accident geographical position, material depot, road link and the speed of a motor vehicle,Select the preferential vehicle arriving; And consider the situation that material storage deficiency need to be alloted from contiguous material depot, during to arrivalBetween and the goods and materials quantity of alloting warehouse comprehensively analyze; Evaluate optimal case;
(3-6) optimum is alloted to scheme and actual conditions combine, finely tune, form final scheme; Disposal personnel is according to friendshipLogical block up, the actual conditions of road construction carry out the fine setting of scheme.
7. a kind of implementation method of supplying omnidistance early warning supervision based on Power Material as claimed in claim 6, is characterized in that: instituteState in step (3), in described step (3-1), the type of event, divided rank are according to " Utilities Electric Group Co.'s burst thingThe overall emergency preplan of part " determine; Event type specifically comprises electric power accident class, electricity consumption service class, public health thingPart class, natural calamity class, accident class and security incident class, wherein, electric power accident class comprise electric power accident andLarge-area power-cuts event; Electricity consumption service class comprises electricity shortage time, important guarantor electricity event and electricity consumption Service events; Natural calamityClass comprises bloods and droughts, meteorological disaster, earthquake disaster, geological disaster, Oceanic disasters and forest fire; Accident class comprisesFire, road public transport event, power infrastructures accident, communication system accident and environmental pollution accident; Security incident class comprisesThe accident of Mass disturbance network and information, casualties event and event concerning foreign affairs.
8. a kind of implementation method of supplying omnidistance early warning supervision based on Power Material as claimed in claim 6, is characterized in that: instituteState in step (3), the concrete grammar of described step (3-5) is as follows: according to the ground of accident geographical position, material depotReason position and road distribute, and calculate the path between accident, material depot, and the setting speed of a motor vehicle is n, 60km/h≤N≤110km/h, calculates running time T1i, i=1,2 ..., m, the total quantity that m is material depot, if this material depotThe quantity of can allocating supplies is inadequate, needs to calculate the running time T from other warehouse relaies2i; Calculate successively different goods and materials storehousesRunning time T=T between storehouse and accident1i+T2i, obtain T less, think scheme optimum.
9. the omnidistance early warning monitor system based on described in any one in 1-8, is characterized in that: comprise ERP system, dataCenter and operation system, wherein:
Described ERP system, collects the business overall process, drawing, stock, the contract resource information that gather ERP system for timingData, connection data center;
Described data center, for all available resources of Macro or mass analysis, for the omnidistance early warning of material supply provides Data support, entersRow Uniform data format, deletion repetition values, processing missing data, the operation of inspection data accuracy, connect operation system;
Described operation system, for threshold value of warning is set, shows each monitoring and early warning, early warning supervisor information, by Power MaterialSupply key node arranges threshold value of warning, processes accordingly, for the business place of closing on threshold value by different service logicsReason node, by the data after analyzing, initiatively sends prompting to user, simultaneously by FusionChars chart assembly, clientEnd generates corresponding chart.
10. omnidistance early warning monitor system as claimed in claim 9, is characterized in that: described operation system also comprises data input/ output module, distribution of materials computing module, database and data preprocessing module, wherein, data input/output module connectsDatabase and data preprocessing module, data preprocessing module is also communicated by letter with distribution of materials computing module, and database and data are located in advanceReason module, data input/output module are connected with distribution of materials computing module.
Described data input/output module, for the character of the request of typing goods and materials, event, content, accident geographical position,Geographical position, road link and the speed of a motor vehicle of material depot, be connected with processing module with database and data;
Described data preprocessing module, for decision event type, grade and the scope on accident impact and the equipment of electrical networkFacility analysis is studied and judged, and is connected with data input/output module, distribution of materials computing module and database;
Described database, for storing topological structure, spatial geographic information, the emergency disposal prediction scheme template of electrical network and alloting warehouseGoods and materials quantity;
Described distribution of materials computing module, for calculating running time and assessment optimal case, with data input/output module, numberData preprocess module is connected with database.
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| CN109871403B (en) * | 2019-02-26 | 2020-10-27 | 扬州制汇互联信息技术有限公司 | Industrial big data analysis method based on industrial supply chain |
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| CN111199309A (en) * | 2019-12-19 | 2020-05-26 | 深圳供电局有限公司 | Early warning management and control system of electric power material supply chain operation |
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| CN113342869B (en) * | 2021-08-06 | 2021-11-12 | 北京国电通网络技术有限公司 | Visualization path display method and device, electronic equipment and computer readable medium |
| CN115423381A (en) * | 2022-10-31 | 2022-12-02 | 国网浙江省电力有限公司金华供电公司 | Intelligent-chain-ID-code-based full-chain collaborative early warning method and platform for electric power materials |
| CN117114425A (en) * | 2023-10-24 | 2023-11-24 | 北京数易科技有限公司 | Intelligent early warning method, system and medium for coping with emergency |
| CN117114425B (en) * | 2023-10-24 | 2024-01-30 | 北京数易科技有限公司 | Intelligent early warning method, system and medium for coping with emergency |
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