Survey All Android

2. Alias Device 2.1 Alias Console android console
1

survey.88.io

The survey.88.io Android mobile app enables collection of a lot of environmental data using the sensors on your phone.

You should run the survey.88.io app for about 60 seconds so it can collect enough data (but NOT more than 90 seconds as that will be too much data) to create a survey file as output.

You can then import the resulting survey file into your alias console location pin documenting the survey event at that location.

1. Usage

  1. Install App
  2. Collect Data
  3. Import Data

2. Alternatives

There are mobiles apps that can perform survey of wifi networks only, the following apps are currently supported by Team Compute:

2

Install App

1. Installation

The English version of the survey.88.io mobile app can be downloaded from https://app.88.io/survey

Once installed the app should appear on the Home screen.

survey_app
survey_app400×844 278 KB

2. Setting

When opening the app for the first time, a location pop-up window will appear. Select While using the app.

88collect_location
88collect_location400×844 97.9 KB

3. Allow Permission

Go to the Phone's Settings and open Apps -> survey.88.io-> Permissions.
In addition to Location, allow all other permissions, e.g: the Body Sensors, Files and Media, Nearby devices, Physical activity and any other permissions that are yet to be allowed, as an error may occur if these permissions are not allowed.

notallow
notallow400×720 41.1 KB

Once all have been allowed, the app is ready to be used.

allow
allow400×844 47.8 KB

3

Collect Data

Open the survey.88.io app and start collecting data by following the steps below.

  1. Click on the Start button.
  2. The app will automatically generate a .csv file.

88collect_start
88collect_start400×844 71.2 KB

The generated .csv file can be shared by following the steps below.

  1. Click on the Stop button on the top left of the screen. When a Recording successful prompt is displayed, select YES.
  2. Click on the SHARE LAST button near the bottom right of the screen.

88collect_share
88collect_share400×844 71.2 KB

You can export the .csv file into a number of different storages:

88collect_share_destination
88collect_share_destination400×844 75 KB

In the example below, the .csv file is stored in the local storage of the device.

csv_stored
csv_stored450×380 33.8 KB

4

Import Data

Click on the location pin, select Attach -> Survey and browse to the location where the file is stored.

If the file is successfully imported, the location pin will display the number of Blueooth and WiFi devices detected.

In the example below, there are 32 Bluetooth devices and 32 WiFi devices detected.

survey_file_imported
survey_file_imported450×450 89 KB

Bluetooth

The Bluetooth devices detected will be in the format of MAC Address followed by the RSSI signal.

survey_btooth
survey_btooth450×720 105 KB

For Community Area Alias only

If Survey is selected in the Publish Pins menu, the post will also be displayed.

{	"subject" : "#loc_btooth",
	"pin" : "#pin_qlt6h42gxx3n1lt8uxvpdtuknfkcrqx4ptkn34dv",
	"alias" : "#alias_mpwgq2evox3zinq1tbt0rvilmdsgipkwijoy33dj",
	"blockid" : "#bi_mdbjbaktrx69bbqt6ajeyk7xarndkaupovqccmqp",

	"date" : "#dt_20250902",

	"btooth" : ["00b45b31ca59 -86",
		"02382fc32fef -67",
		"036c99d43d02 -86",
		"0b3231e9aa26 -69",
		"10cbfe9420b4 -93",
		"1b55a474a6b8 -90",
		"232f9dc723de -84",
		"27abab840656 -90",
		"27c1b920c7b5 -49",
		"3b0dacd942d1 -91",
		"42098d112dd5 -77",
		"42c047b01494 -53",
		"458314534494 -64",
		"49d6030d9465 -72",
		"4dfd943fdd28 -91",
		"4ff9a74dbac7 -75",
		"500ce01dc1ce -87",
		"5c28e807a4ec -82",
		"7a47dadaaff9 -84",
		"7beb65495240 -69",
		"7c26a2f3a78b -69",
		"a0dd6caf172e -74",
		"a0dd6caf1b42 -90",
		"c33d97ee16ba -87",
		"dba277faa52c -95",
		"dc9d9f92d6bd -51",
		"e77bb43ad5e2 -93",
		"f09932c70f33 -52",
		"f3f8fc41c7f1 -76",
		"f64196820490 -77",
		"f741da9c4120 -70",
		"fb4c7d43e25c -84"],

	"srcname" : "console.aunsw.88.io",
	"srcarea" : "#a_0033880_151204",
	"srctime" : "#t_1756771200",
	"srctx" : "#tx_pwawhflxjivtkohctuur9gq0rhsfipiy6rk1x4xy",
	"srcsign" : "m3YO7eaPXfOumnLUoo2by8nItksdkIrHd8cJBlXuhrQaK1l-CVQkrZZJCYSr08j_Af7lzSWa9RHOJ40lXGc5BQ"
}

WiFi Signals

The WiFi devices detected will be in the format of MAC Address followed by the RSSI signal.

survey_wifi
survey_wifi449×698 103 KB

For Community Area Alias only

If Survey is selected in the Publish Pins menu, the post will also be displayed.

{	"subject" : "#loc_wifi",
	"pin" : "#pin_qlt6h42gxx3n1lt8uxvpdtuknfkcrqx4ptkn34dv",
	"alias" : "#alias_mpwgq2evox3zinq1tbt0rvilmdsgipkwijoy33dj",
	"blockid" : "#bi_mdbjbaktrx69bbqt6ajeyk7xarndkaupovqccmqp",

	"date" : "#dt_20250902",

	"wifi" : ["0418d62b2fdf -22",
		"0618d62b2fdf -22",
		"0618d6ad890e -37",
		"0c8063b5ce58 -60",
		"10feed50c5e1 -38",
		"10feed50c5e2 -56",
		"14cc205ed225 -84",
		"1618d62b2fdf -22",
		"2618d62b2fdf -23",
		"2618d6ad890e -38",
		"44a56e87952d -62",
		"44a56e87952e -87",
		"4618d6ad890e -37",
		"74da88557086 -85",
		"7c8bca54cad6 -59",
		"7c8bca54cad8 -67",
		"b4fbe471d9d8 -59",
		"b4fbe471dbf1 -76",
		"b4fbe471dbf7 -78",
		"b4fbe472d9d8 -80",
		"bafbe471d9d8 -58",
		"bafbe471dbf1 -81",
		"bafbe471dbf7 -80",
		"c04a00cbff5e -66",
		"c056278d95e9 -57",
		"e43883181972 -67",
		"e43883181973 -84",
		"ea3883181972 -67",
		"ea3883181973 -84",
		"ee3883181972 -66",
		"ee3883181973 -84",
		"f8a2508e1ca1 -61"],

	"srcname" : "console.aunsw.88.io",
	"srcarea" : "#a_0033880_151204",
	"srctime" : "#t_1756771200",
	"srctx" : "#tx_pwawhflxjivtkohctuur9gq0rhsfipiy6rk1x4xy",
	"srcsign" : "k5JwINSu1L6QOs6hMvyt2d732bIRbYoWe4NSRAieakQ-RlEMdM2A41ZVFKn3kY6Rs5yI5qB41iknLZIFeeHSCw"
}
5

Technical

To perform a survey at your location, the survey.88.io android mobile app can be download from https://138813.au/survey88io as an APK file. You can then install it onto your Android mobile phone.

1. Source

survey.88.io is created from simpleLoc's SensorReadoutApp:
GitHub - simpleLoc/SensorReadoutApp: Android Sensor recording application

Like SensorReadoutApp the initial focus is on geo positioning (especially indoors), but we expect to expand it application to other areas later on.

2. Output

The output of the program is saved in a text file with a number of fields on each line.

The first field is always the Time (a large number in nano-second) and second field is always the Event ID (a small number indicated the data type) followed by a varying number of fields depending on the Event ID.

For example, below are lines in the output file documenting the WiFi data (Event ID=8) collected from a survey:

3044195635;8;0618d6ad890e;2412;-39
3044200635;8;bafbe471da89;2412;-91
3044205635;8;c2fbe471da89;2412;-90
3044209635;8;10feed50c5e1;2412;-53
3044212635;8;9483c407b99c;5180;-64
3044215635;8;14cc205ed225;5180;-90
3044217635;8;1618d6ad890e;2412;-39

1. Nano-Second

The first field is the number of nano-seconds passed since the start of the survey.88.io program:

First 8 lines of a sample output file is posted below, we can see that the FIRST survey result came in at 0.027663927 seconds after program start.

0;-2;2024-05-20T00:11:02.867Z;;
0;-3;a7ef0fbe-c582-4647-881f-f4ab61029470
0;-1;0;0
0;99;0
0;50;STANDING;1
27663927;3;0.0071013086;-0.005421429;5.345071E-4
29637927;3;0.0022143866;-0.0023671028;-0.0019089539
31624927;3;0.0022143866;-0.0023671028;-0.0019089539

Last 4 lines of a sample output file is posted below, we can see that LAST survey result came in at 69.307854367 seconds after program start.

69307854367;0;0.94331545;4.582502;9.79019
69307854367;3;0.23312145;-0.04589125;0.017638734
69307854367;22;3.181221471602614E-5
69322765642;99;1

From the above results the survey.88.io program ran for about 69.3 seconds (just over a minute) generating a result file in 7.7 MByte size with 7670230 characters in 161496 lines.

2. Event ID

survey.88.io collects from a massive list of sensors as events, each event has an unique Event ID:

ACCELEROMETER(0),
GRAVITY(1),
LINEAR_ACCELERATION(2),
GYROSCOPE(3),
MAGNETIC_FIELD(4),
PRESSURE(5),
ORIENTATION_NEW(6),
ROTATION_MATRIX(7),
WIFI(8),
BLUETOOTH(9),
RELATIVE_HUMIDITY(10),
ORIENTATION_OLD(11),
ROTATION_VECTOR(12),
LIGHT(13),
AMBIENT_TEMPERATURE(14),
HEART_RATE(15),
GPS(16),
WIFIRTT(17),
GAME_ROTATION_VECTOR(18),
EDDYSTONE_UID(19),
DECAWAVE_UWB(20),
STEP_DETECTOR(21),
HEADING_CHANGE(22),
PEDESTRIAN_ACTIVITY(50),
GROUND_TRUTH(99),
GROUND_TRUTH_PATH(-1),
FILE_METADATA(-2)

Parameters

The number behind the Event Type above is the Event ID used to identify different sensors within the resulting data file.

The 1st and 2nd parameters on each line of the CSV file are always:

  1. Nano-Seconds
  2. Event ID
1st Event Type 2nd Event ID 3rd 4th 5th 6th
Gravity - m/s2 1 Force X-axis Force Y-axis Force Z-axis
Magnetic Field - μT 4 Field X-axis Field Y-axis Field Z-axis
Pressure - hPa 5 Barometric Pressure
WiFi 8 BSSID Frequency RSSI
Bluetooth 9 MAC RSSI Tx Power
GPS 16 Latitude Longitude Altitude Bearing

File

Resulting data file is in CSV format with timestamps and sensor based variables.

sample_csv
sample_csv400×394 94.8 KB