EVIDENCE / DEVELOPMENT STATUS
A clear boundary
between idea and proof.
WeXplor is a mining application concept. This page explains the proposed direction and the evidence needed to take it further.
What the evidence supports
| Statement | Basis | Limit |
|---|---|---|
| AQ Sense within AQFM is the proposed mining architecture. | Owner’s direction for this concept, 18 October 2026. | Brand and application direction; not a release specification. |
| AstraQua develops machine self-awareness and mission reasoning concepts. | AstraQua’s public technology description. | Company-described development direction; no mining performance validation. |
| Condition, evidence quality and recovery margin can be explored separately in an explanatory scenario. | Existing AstraQua illustrative mining demo source, reviewed locally; the copied mining simulator and its scenario rules below. | Software behavior, not physical equipment behavior. |
| Mining evaluations require business, operational and assurance work. | GMG implementation guideline, version 2. | Industry guidance; no WeXplor compliance or certification claim. |
Mining equipment condition: the evaluation question
Condition monitoring observes equipment signals. A diagnostic system would need to identify a fault against verified outcomes. Task planning also needs the load, duty cycle, operating constraints and recovery options. WeXplor explores that connection; its scripted lab does not validate diagnosis or select safe operating tasks.
AQ Sense is the proposed machine self-awareness component within AQFM. In this mining concept, condition evidence would inform an engineer’s review of available capability and the next task. Equipment interfaces, models and acceptance thresholds remain to be established.
What to bring to an initial technical discussion
Describe one equipment class and one decision: for example, reviewing another loaded haul cycle when a condition signal changes. Identify the engineering owner, available signal names and units, timestamps, sampling intervals, missing-data flags, operating context and maintenance records. Discuss data-use rights before sharing records; do not send confidential data through the inquiry form.
How an evaluation would be judged
Agree the decision, baseline and acceptance criteria before testing. Compare with current alarms or engineering practice using independently reviewed events. Record missed events, false alerts, evidence completeness, response timing and review effort. Use separate development and evaluation records where feasible, and report uncertainty and failure cases. These are proposed evaluation requirements, not completed WeXplor test results.
Discuss an equipment evaluation ↗
Decision lab: what it does
The mining lab reuses AstraQua’s mining demonstration code. Geographic imagery depicts Bingham Canyon Mine, Utah. Fleet positions, dust, rockfall, routes, health signals and recovery responses are synthetic; they are not observations from that mine.
The health scenario treats condition change, evidence uncertainty and recovery margin separately. The inherited script selects the nearer recovery when margin is reduced; otherwise an active health or uncertainty event selects the site service point. This is an illustrative policy, not proof of route feasibility. Pause freezes movement and trends; reset restores the scenario.
All route animations are explanatory and issue no equipment control instruction. The simulator’s local-coordination and fleet responses are scripted, not verified communications, perception or autonomy capabilities.
What a useful evaluation needs
- One equipment class, one operational decision and a named engineering owner.
- Signal definitions, timestamps, quality checks, maintenance context and data-use rights.
- A baseline using current alarms or engineering practice, with independent review of outcomes.
- Agreed measures for missed events, false alerts, evidence completeness, response timing and review effort.
- Documented integration boundaries, uncertainty handling, security requirements and acceptance criteria.
Begin with offline data or a controlled test. Any read-only field evaluation requires a separate scope. Autonomous control is outside the initial proposal.
Privacy & inquiries
The WeXplor inquiry form is served by this WordPress website. Submitting sends your name, email address, message and processing consent through our server to HubSpot for handling your inquiry. The form does not load HubSpot tracking scripts or analytics cookies. Spam protection uses a hidden trap field, signed form tokens and short-lived rate limits based on a hashed connection address. Your message is not stored in a WordPress contact database.
WeXplor is owned by AstraQua, Inc., which handles inquiries and personal information. Details are used to review and respond to your request. Read the owner’s privacy policy for further information. Avoid confidential operational details. Fonts and the reference photograph are served locally.
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Photography & design
Round Mountain gold mine, Nevada, photographed in 2008 by Patrick Huber (Uncle Kick-Kick). Original source and attribution. Licensed under CC BY-SA 2.0. Resized, recompressed, cropped by the layout and shown with a color treatment. Adapted image versions retain CC BY-SA 2.0. The photograph implies no customer relationship, endorsement or deployment.
Barlow Condensed and IBM Plex Mono are distributed under the SIL Open Font License. The route diagram is an original schematic.
Mining simulator provenance
Adapted from AstraQua’s mining demo source (page 6826). The engine retains its event handlers, map, fleet and AQ Sense recovery animation. WeXplor changes the visual treatment and labels. The map uses MapLibre GL JS 4.7.1, Esri World Imagery and optional OpenStreetMap tiles, with provider attribution retained. External map libraries and tiles load only after the mining example is opened. Bingham Canyon imagery does not imply any relationship with its operator.