SE2230153A1 - Planning of a mission by geographical position and equipment allocation - Google Patents

Planning of a mission by geographical position and equipment allocation

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Publication number
SE2230153A1
SE2230153A1 SE2230153A SE2230153A SE2230153A1 SE 2230153 A1 SE2230153 A1 SE 2230153A1 SE 2230153 A SE2230153 A SE 2230153A SE 2230153 A SE2230153 A SE 2230153A SE 2230153 A1 SE2230153 A1 SE 2230153A1
Authority
SE
Sweden
Prior art keywords
mission
design
equipment
efficiency
technical
Prior art date
Application number
SE2230153A
Other languages
Swedish (sv)
Inventor
Edward Jobson
Stefan Park
Original Assignee
Volvo Lastvagnar Ab
Stefan Park
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Volvo Lastvagnar Ab, Stefan Park filed Critical Volvo Lastvagnar Ab
Priority to SE2230153A priority Critical patent/SE2230153A1/en
Publication of SE2230153A1 publication Critical patent/SE2230153A1/en

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0633—Workflow analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/08—Construction

Abstract

The invention includes a digital tool and a method for generating a technical design, generating an instruction for realizing the design and allocating required equipment. The method includes generation of a visual representation of the design, instructions how to realize the design and means for modifying the design. The method is applied for construction work, forestry, excavation and solar panel installations and similar types of work where the equipment allocation, geography and weather are essential factors for the efficiency of the mission.The visual representations include off- and on road rout directions and 3D drawings of the design and photorealistic pictures of the technical design and video instructions of the mission by virtual reality and augmented reality.Geographically preferred equipment required to conduct the mission having impact on the design is allocated. Weather conditions and geography impact both the choice of equipment and the design, increased efficiency is realized.

Description

BACKGROUND OF THE INVENTION ln many types of construction and installation work any of the factors: i) geography, ii) weather, iii) technical design and iv) choice of and access to equipment, v) legal constraints and boundaries; may become the bottle neck for the efficiency of the technical design and for realizing the mission. ln a similar way, the efficiency of a technical design is impacted by the actual utilization, legal limitations, geography, and the weather, and the technical design itself may be limited by the equipment used for the mission, the construction work. Hence all factors may become the bottle neck for the efficiency of the technical design and for realizing the mission. The technical design is the outcome of the mission.
Geographical limitations often restrict the design. E.g. a road is constructed with a certain road grade and the technical design is adapted to meet boundary conditions for gradeability of the vehicles that will use the road. Steep hills may require certain forestry machines to coop with the gradeability. The roof of a house face a certain direction impacting the preferred solar panels, mounting direction and in turn put requirements on the equipment used for the installation.
Weather poses multiple limitations. The direct impact on the technical design is evident where solar panels are positioned to catch the light to meet certain needs. And, the indirect impact of cloudy mornings or frequent rain in the afternoon will impact the technical design and in turn how the design meets the user needs. For harvesting forest: lndirectly, snow may limit the access to a geographical position where the mission is to be conducted. Or, low temperatures may increase the weight carrying abilities of the ground for e.g. transporting timber.
While the mission is conducted by equipment with different efficiency, using a certain machine adds further efficiency. E.g. An excavator of a certain size is most efficient for laying down electric cables. By applying a database of the availability of all excavators relevant for excavation the most efficient machine can be allocated. And, the other way around once a certain excavator is allocated for the certain cable grave, the width and the depth of the ditch can be designed to realize the mission efficiently.
The visualization of a design is helpful in selecting a design alternative. And, visualization is used to guide the work along the process of realizing the design. E.g. by showing driving directions on soft roads during ice melting period in the spring. Or, by indicating outer area border during forestry logging. Or, by showing the appearance of a solar panel design on a roof.
While the invention automatically generates one or many designs and instructions for conducting the mission manual input may be required to improve the auto generated results further. Be it due to errors in the databases or due to imperfections in the auto generation routines. Nevertheless, a graphical user interface enabled by alternative input devices such as computer mouse, smart phone screens, cameras, LIDAR (Light Detection and Ranging) or virtual reality controllers enable modification of the design.
Machine learning is optionally used to learn from the manual design changes and all other interaction with the invention. Over time the machine learning feed-back enables improved designs, equipment recommendations, work instructions.
SUMMARY OF THE INVENTION The "Geoplaner" invention use a computer code to generate multiple outputs required to conduct a mission efficiently to realize an efficient technical design. The invention uses an algorithm to generate the multiple outputs that aim to shorten the time to conduct the work required to realize a technical design as well as improving the efficiency of the technical design itself AND improving the efficiency of the mission AND outputs being visualized in its context.
A mission is executed when the work is conducted to realize a technical design using an equipment. The efficiency of a mission is defined by the time it takes to realize a technical design.
Such missions are exemplified by, installation of solar panels on a roof, construction of a swimming pool, building a garden road, harvesting of forest, erecting a bridge across a water.
The technical design is thus the outcome of the mission. The technical design may in some cases require building materials and technology to be realized. The technical design may in some cases NOT require the use of building materials and technology to be realized. The use of materials and technology is indirectly defined by the technical design.
The mission is conducted at a geographical position described by geographical coordinates such as latitude, longitude and altitude or by an unambiguously defined street address.
By weather data we understand historical and future weather details such as ambient temperature, wind direction and wind speed, amount of precipitation (rain and snow) and solar radiation and direction of the solar radiation. |.e. clouds are accounted for. For some technical designs the weather data needs to have a time resolution of hours to be relevant and in other cases the weather data depicts the typical monthly average.
The work instruction describes how the work is conducted to realize the technical design in an efficient way, i.e. enabling quantification of the efficiency of the mission.
Often, the intended utilization of the technical design become an important factor to consider for the technical design. The intended utilization of the technical design can. For example, for a solar panel installation the intended utilization is the production of electricity. Already the intended utilization can guide the technical design when the utilization significantly impacts the design process.
The efficiency of the technical design quantifies how well the technical design meet the intended utilization of the technical design. For example, for a solar panel installation, the technical design is intended to provide electric energy to meet the user needs. The efficiency quantifies how high a share of the user needs that can be provided by the design. A higher quantified share of coverage of the user need understands a higher efficiency. ln the solar panel example, we may quantify the efficiency of the technical design by summarizing the difference of the time resolved user need and the simulated produced electric energy hour-by-hour for a full year. To avoid misunderstanding, here efficiency does specifically NOT mean the traditional "total efficiency" of the solar panel itself, e.g. in energy generation per area. Furthermore, it does NOT mean the efficiency of the solar panel in its specific installation.
The efficiency of the mission, quantifies the efficiency of the use of the resources used for performing the mission, realizing the technical design. The overall calendar time required from the start of the mission to the end of the mission is a common example of a resource that is quantified. Other efficiency measures are, labor time, equipment utilization time, use of consumables, use of fuels or electric energy, and use of materials. A shorter time to realize the mission means a higher efficiency. Use of less labor time means higher efficiency, etc. Often the efficiency of the mission is recalculated to monetary units, such as cost for equipment and cost for labor. For such examples the efficiency of the mission can be quantified by a selected part of the cost of the mission or by the sum of several cost contributors cost for the mission.
The invention will thus propose technical designs and a method to realize the technical design. By performing multiple simulations such as used by factorial designs the efficiencies of multiple designs and the efficiencies methods can be compared. When doing so systematic "weaknesses" of the technical design may be pinpointed. Once a weakness is highlighted it may lead to reasons to improve the designs by means that are not "allowed" for the original design. Such examples can involve behavior change, changing the user needs to enhance the efficiency of the design even further. A side effect of the invention is thus that the results are helpful in changing behavior to further improve the efficiency of the design. Or, even to generate new user need input to reiterate the technical design.
The user need includes a time resolved measure relating to the utilization of the technical design. ln the solar panel example above, the utilization means the user need for electricity at every point in time. The higher the efficiency the more the technical design meets the user needs. ln the solar panel example above, a user may need the highest electricity production 3 hours before noon. This implies that the user need is the highest at that time and providing high amount of electricity at that time increases the efficiency. To be explicit, in this example the user need may well understand providing electricity to a 3" party, for example an electricity market (where the need often is indicated by the market price of the electricity).
The input for the algorithm contains: 1) Category of technical design e.g. solar panel installation, building swimming pool, a clear felled area, 2) Description of the user need e.g. provide electricity hour by hour meeting an electricity consumption profile 3) Weather data, local and time resolved. The weather data may be based on historical data or forecasted data. 4) Geographical map data of a selected geographical position describing the topography and the character of the surface e.g. swamp, grass, forest or forest ) Legal limitations, local requirements for certificates and permits and similar non boundary conditions that cannot be compromised. 6) Visual representations of the relevant geographical position, including publicly available street views, publicly available satellite photos, publicly available photography's taken from aero planes, photos taken for the purpose visualized dataset from LIDAR. All the above mentioned also include series of pictures such as cinematic pictures and videos. 7) A database for equipment includes the equipment relevant for conducting the mission. Ultimately all types of relevant equipment are registered. The registry contains relevant information about the performance. E.g. an excavator is registered by power, tonnage capacity and work performance e.g. cubic meter per hour. Other example of machines are forest wheeled harvester, forwarder, wheel loaders, tractors, trucks, cranes and road roll. 3 Combinations of machines such as trucks with cranes are registered as well. The list is not exhaustive. 8) A devise for editing of the parameters that describes the input data. Such a device may be a keyboard, a computer mouse, a touch screen of a mobile phone or controls such as the once used for virtual reality and augmented reality controls. 9) Web based data containing technical designs 1) and/or realizations of technical designs and/or visual representations 6) The outputs are: i) visual representations such as, design drawings, conventional CAD drawings, 3D drawings, photos and including photos rendered to cinematic impressions of the technical design ii) visual representations of the mission, including written instruction, simulations of movement, tutorials showing animations or rendered to cinematic impressions of the mission realizing the technical design. Specifically, the instructions how to operate the equipment is rendered to animations to support the mission. iii) efficiency of the technical design quantified by comparing to the intended utilization to the user needs iv) efficiency of the mission quantified by quantifying the resources required to realize the mission v) preferred equipment and when relevant booking of the equipment vi) instructions relevant for conducting the work required to execute the mission. lnstructions including critical information for preferred time of year to conduct the mission. vii) geolocation of the design including parameters describing how the design interact with the geolocation viii) administrative documentations required for the mission, including, applications for environmental permits, building permits, electricity connection/contracts ix) a project plan for the mission, including the used equipment, labor, material use, technology use, and budget, inventories, financials Once the first output is generated additional recursion may be manually or automatically initiated. An advantage of showing the visual representation of the design in its context at the geographical location is and an improved quality of the feed-back. The feed-back in turn allows for machine learning to propose new preferred solutions for future use and users. ln one use case of the Geoplaner the user plans a solar panel installation to be used for providing electricity to a real estate. The user provides the location of the house and the energy use hour by hour. The technical design may be either pre specified by a few parameters (e.g. a pre-selected solar panel) or the technical design may be automatically generated by the Geoplaner. The resulting technical design is visualized in its context of the installation. Efficiency of the solar panels are furthermore visualized with the relevant time resolution, hour by hour and month by month. Additionally, a suitable set of equipment is generated by the Geoplaner. ln this case a number of cranes that are available close to the location, considering all cranes available in the equipment database. And, a work instruction is generated together with a quantification of the efficiency of the mission to install the solar panels. The work instructions are visualized e.g. by virtual reality to enable the user to judge if the cranes interfere with other buildings. The user may modify the proposed designs. Such a modification may for example include another choice of solar panel or position for a roof mount. As a consequence of the manual input the Geoplaner reinitiate the algorithm to renew the result. Thus generating a new visualization, list of equipment, work instructions etc. ln second use case, the user manually chooses another equipment to conduct the mission. The Geoplaner then reinitiate the algorithm to modify the design and the work instructions to adapt to the selected equipment and to increase the overall efficiency of conducting the mission. Potential impact on the technical design is again accounted for. ln a third use case the user changes the time for the mission to be performed. ln this example the time to conduct the mission is changed from winter to summer. The Geoplaner reinitiate the algorithm and a new set of preferred equipment and the related work instructions are renewed. Hands on this example may relate to the harvest of forest where the ground in the summer only may carry light equipment while in the winter heavier more efficient machines can be used on the frozen ground. The algorithm proposes the preferred time to conduct the mission being in the winter while the user may prefer to do the mission in the summer for reasons not included in the data available for the algorithm (e.g. subjective preference of the machine driver). ln the extension, the machine learning algorithm will use the user input to improve the proposed set of times for future users with similar missions at similar geographical locations.
DESCRIPTION OF THE PREFERRED EMBODIMENT The invention is preferably initiated by commonly used computers, smart phones and similar devices containing means for input and means for displaying the results. A minimum of input includes the type of technical design that is requested by the user and the geographical location. ln the preferred embodiment data may also be automatically generated by the Geoplaner. For example, as other users at a certain geographical position recently requested a certain design from the Geoplaner to such an extent that the machine learning algorithm may automatically propose a category and purpose the design.
Ultimately the invention proposes a technical design that meets the user needs with a minimum of effort for the user.
The visual representation of the technical design is presented for the user by the technical means for visualization.
The efficiency of the technical design is presented for the user by graphics and key numbers.
The preferred equipment required for realizing the technical design is automatically selected by the invention from an equipment owner database. The preferred equipment is automatically booked, and the skilled resources required to drive the equipment are likewise booked automatically for the mission once the technical design is confirmed by the user.
The mission is detailed by the innovation. Preferably an instruction of work sequences required to realize the technical design are automatically generated once the technical design and equipment are determined. The instructions contain materials and technology required for the mission.
The instructions also describe the manual work required by labor and the time required.
The instructions of the mission are furthermore visually presented. Preferably, the instructions are visualized by automatically generated cinematic sequences, e.g. video tutorials. For advanced installations an automatically generated instruction video picturing the equipment in use and the work required to realize the technical design at the position of the installation is used first to judge the quality of the technical design, proposed equipment, and work instructions. Secondly, later the video is used by the equipment operator and labor when carrying out the mission. The proposed method simplifies the work for the labor and decreases the risk for errors.
The description of the mission thus enables an overall assessment of used and consumed: equipment, resources, lead times, materials and technology.
To summarize: in the preferred embodiment of the Geoplaner an autogenerated technical design is presented by: 1. visual representations such as reality (VR) and augmented reality (AR) showing the design in the context of the installation 2. simulations showing in a cinematic presentation applying the VR or AR interfaces how the mission is conducted to realize the design using a selected set of equipment 3. simulations showing the performance of the technical design once the mission is realized 4. selected preferred equipment required to realize the mission All the above adapting the technical design accounting for geographical position and weather.
All the above accounting for boundaries such as laws, regulations and permits required for the technical design or the mission realizing the technical design, available equipment and availability of labor for operating the equipment.

Claims (10)

PATENTkRAv (svenska)PATENT claim (Swedish) 1.En datorimplementerad metod som beräknar effektiviteten hos en teknisk konstruktion: a. Mata in input parametrar: geografiska positionsdata, en databas för utrustningar inklusive arbetskapacitet och effektivitet, Historisk och prognostiserad tidsupplöst lokala väderdata, medel för att visualisera den tekniska konstruktionen, en beskrivning av användarens behov, parametrar som beskriver variationer av tekniska konstruktioner som valts av mänsklig operatör eller genom tidigare optimeringar, randvillkor för lagkrav b. Beräkna effektiviteten av en teknisk konstruktion och output visuell representation c. Generera output: variationer av tekniska konstruktioner, konstruktionernas effektivitet, variationer av tekniska konstruktioner med effektivitetsmått och visuella representationer d. Utförande inklusive: Ett gränssnitt för att modifiera konstruktionen, medel för att visualisera den tekniska konstruktionen1. A computer-implemented method that calculates the efficiency of a technical construction: a. Input input parameters: geographical position data, a database of equipment including working capacity and efficiency, Historical and forecasted time-resolved local weather data, means of visualizing the technical construction, a description of user needs, parameters describing variations of technical designs selected by human operator or through previous optimizations, boundary conditions for legal requirements b. Calculate the efficiency of a technical design and output visual representation c. Generate output: variations of technical designs, efficiency of the designs, variations of engineering designs with performance metrics and visual representations d. Execution including: An interface for modifying the design, means for visualizing the engineering design 2. En metod enligt krav 1 där processen itereras i repetitiva cykler som genererar en gradvis ökning av effektiviteten2. A method according to claim 1 wherein the process is iterated in repetitive cycles generating a gradual increase in efficiency 3. En datorimplementerad metod enligt kraven 1 och 2 för att generera en beskrivning av ett uppdrag som uppfyller kriterierna för effektiviteten för ett uppdrag för att uppföra en teknisk konstruktion enligt kraven 1 och 2 med hjälp av: a. Mata in input parametrar: geografiska positionsdata, en databas för utrustningar inklusive arbetskapacitet och effektivitet, Historisk och prognostiserad tidsupplöst lokala väderdata, medel för att visualisera den uppdraget, en beskrivning av användarens behov, parametrar som beskriver variationer av uppdraget som valts av mänsklig operatör eller genom tidigare optimeringar, randvillkor för lagkrav b. Beräkna effektiviteten av ett uppdrag och output visuell representation c. Generera output: variationer av uppdraget, uppdragets effektivitet, variationer av uppdraget med effektivitetsmått och visuella representationer3. A computer-implemented method according to claims 1 and 2 for generating a description of a mission that meets the criteria for the effectiveness of a mission to erect a technical structure according to claims 1 and 2 by means of: a. Entering input parameters: geographic position data , a database of equipment including work capacity and efficiency, Historical and forecasted time-resolved local weather data, means of visualizing that mission, a description of the user's needs, parameters describing variations of the mission selected by human operator or through previous optimizations, boundary conditions for legal requirements b .Calculate the effectiveness of an assignment and output visual representation c.Generate outputs: variations of the assignment, the effectiveness of the assignment, variations of the assignment with efficiency measures and visual representations 4. En metod enligt kraven 1 och 2 som kännetecknas av användandet av: a. en visuell representation av den geografiska positionen b. generera en visuell presentation av den tekniska konstruktionen c. parametrar som definierar den tekniska konstruktionen och den därmed sammanhängande effektiviteten hos den tekniska konstruktionen lagras i ett minnesmedium d. användning av lagrade parametrar i den tekniska konstruktionen för att iterera framtida konstruktioner4. A method according to claims 1 and 2 characterized by the use of: a. a visual representation of the geographical position b. generating a visual presentation of the technical construction c. parameters defining the technical construction and the related efficiency of the technical the design is stored in a memory medium d. use of stored parameters in the engineering design to iterate future designs 5. En metod enligt krav 3 som kännetecknas av att den omfattar a. en algoritm som tillämpas för att välja maskinell utrustning för att generera kortast möjliga tid för att utföra uppdraget b. varigenom utrustningen väljs från en lista över utrustningar c. varvid utrustningens geografiska läge och dess avstånd till den plats där uppdraget utförs är en indata för algoritmen5. A method according to claim 3 characterized in that it comprises a. an algorithm applied to select machinery to generate the shortest possible time to perform the task b. whereby the equipment is selected from a list of equipment c. wherein the geographic location of the equipment and its distance to the location where the mission is performed is an input to the algorithm 6. En metod enligt kraven 1-5 som kännetecknas av att den omfattar a. medel för att visualisera utrustningen efter kapacitet och plats i förhållande till uppdraget6. A method according to claims 1-5 which is characterized in that it includes a. means for visualizing the equipment by capacity and location in relation to the mission 7. En metod enligt kraven 3, 5 och 6 som omfattar a. En algoritm för att simulera utrustningens rörelse vid utförandet av uppdraget b. Medel för att visualisera den dynamiska processen för utrustningsrörelser för utförande av uppdraget7. A method according to claims 3, 5 and 6 comprising a. An algorithm for simulating the movement of the equipment in the performance of the mission b. Means for visualizing the dynamic process of movement of equipment for the performance of the mission 8. En metod enligt krav 7 som kännetecknas av en metod för att välja flera utrustningsalternativ8. A method according to claim 7 characterized by a method for selecting multiple equipment options 9. En metod enligt kraven 3, 5, 6, 7 och 8 som kännetecknas av att den omfattar a. Medel för att visualisera uppdraget genom flera val av utrustning b. Visulaisering av uppdraget medelst Augmented Reality på den geografiska för uppdragets utförande plats c. Visualisering av uppdraget med Virtual Reality9. A method according to claims 3, 5, 6, 7 and 8 which is characterized by the fact that it includes a. Means for visualizing the task through several choices of equipment b. Visualization of the task by means of Augmented Reality at the geographical location for the execution of the task c. Visualization of the mission with Virtual Reality 10. En metod enligt krav 1 till 9, kännetecknad av att algoritmen baseras på maskininlärningsmetodik så att tidigare användning av uppfinningen återanvänds för att välja föredragna konstruktioner och utrustning för att utföra uppdraget. Modifieringar som initieras via mänsklig interaktion såväl som automatiska modifieringar lagras tillsammans med beräkningsresultat som visar konstruktionens effektivitet och uppdragets effektivitet.10. A method according to claims 1 to 9, characterized in that the algorithm is based on machine learning methodology so that previous use of the invention is reused to select preferred designs and equipment to perform the mission. Modifications initiated via human interaction as well as automatic modifications are stored along with calculation results showing the effectiveness of the design and the effectiveness of the mission.
SE2230153A 2022-05-19 2022-05-19 Planning of a mission by geographical position and equipment allocation SE2230153A1 (en)

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Citations (7)

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US20200210932A1 (en) * 2018-12-27 2020-07-02 Clicksoftware, Inc. Methods and systems for using customer feedback in future scheduling
US20210019673A1 (en) * 2019-07-16 2021-01-21 Gsil Co,.Ltd. Multi-dimensional risk matrix and method for generating thereof
WO2022059868A1 (en) * 2020-09-21 2022-03-24 주식회사 나눔건설사업관리 Method for managing construction process on basis of weather forecast

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2513455A (en) * 2013-03-15 2014-10-29 Fisher Rosemount Systems Inc Generating checklists in a process control environment
US20160171405A1 (en) * 2014-12-16 2016-06-16 Brian Keith Burke User Interactive On-Site Job Management System and Uses Thereof
US20180137446A1 (en) * 2015-06-23 2018-05-17 Komatsu Ltd. Construction management system and construction management method
US20180130146A1 (en) * 2016-11-07 2018-05-10 The Regents Of The University Of California Weather Augmented Risk Determination System
US20200210932A1 (en) * 2018-12-27 2020-07-02 Clicksoftware, Inc. Methods and systems for using customer feedback in future scheduling
US20210019673A1 (en) * 2019-07-16 2021-01-21 Gsil Co,.Ltd. Multi-dimensional risk matrix and method for generating thereof
WO2022059868A1 (en) * 2020-09-21 2022-03-24 주식회사 나눔건설사업관리 Method for managing construction process on basis of weather forecast

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